Data Science Jobs 2026 (Now Hiring) – Smart Auto Apply

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Nike, Inc. logo

Principal, Data Scientist, Nike Sport Research Lab

Nike, Inc.Beaverton, OR
The Nike Sport Research Lab (NSRL) is a multidisciplinary team of researchers, innovators, and scientists who lead with science to make athletes* measurably better. We deliver validated insights and innovative capabilities to drive the future of Nike products and services. if you have body, you are an athlete WHO YOU'LL WORK WITH The Principal Data Scientist partners with research scientists in physiology, biomechanics, perception, and behavioral science, as well as other data scientists, engineers, product managers, designers, and solution architects. This role reports to the Director of Data Science and collaborates across dynamic, multi-functional teams to accelerate innovative product development. The team is recognized for its culture of curiosity, collaboration, and impact within Nike and the broader industry. WHO WE ARE LOOKING FOR Nike Sport Research Lab seeks a Principal Data Scientist who combines deep technical expertise with a passion for advancing human performance. The ideal candidate is a hands-on creative problem-solver, a collaborative leader, and a strategic thinker who thrives in multidisciplinary environments. This individual brings a proven track record of leveraging science and technology to drive innovation in sport science, product development, or related fields. Required Qualifications: PhD or Master's in Statistics, Computer Science, Electrical/Biomedical engineering, Economics, or related field, Will accept any suitable combination of education, experience and training. 7-9+ years demonstrated experience in Data Science, including expertise in data synthesis, machine learning, statistical modeling, causal inference, or signal processing. Demonstrated expertise with Python, and data analysis stacks (such as NumPy, SciPy, pandas, Spark, etc.) Experience with AWS infrastructure, Spark, Databricks, and SQL. Demonstrated practice of software engineering best practices within technical orgs (git for version control, structured code reviews, automated tests, CI/CD pipelines, and maintainable, reproducible build environments) Proven ability to define, initiate, and supervise analytics and modeling efforts. Strong track record of translating business needs into research requirements and strategy. Ability to interpret and implement methods described in research papers and articles in signal processing, machine learning, deep learning, mathematical modeling, and related fields. Excellent interpersonal and communication skills, with experience communicating technical information in both written and verbal formats. Desired Qualifications: Experience with experimental design and statistical inference, including adaptive experimentation, A/B testing, bandit optimization, and causal inference. Proficiency in advanced machine learning methods, including classification, regression, deep learning, and computer vision algorithms. Familiarity with time-series analysis, predictive modeling, and forecasting using large-scale, real-world datasets (e.g., sensor, image, or behavioral data). Experience developing and deploying models that learn from expert input and emulate expert decision-making. Understanding of, or working knowledge in, cardiovascular physiology, biomechanics, perception science, or related fields. Experience with bio-signals, wearables, and inertial measurement technologies. Peer-reviewed machine learning publications or other demonstrable contributions (e.g., GitHub, apps, products). Experience leading or mentoring teams of data scientists and engineers in research or product settings. Experience designing and delivering clear, impactful data visualizations for technical and non-technical audiences. Experience building and maintaining robust data pipelines, ensuring data quality, integrity, and accessibility for analysis and modeling. WHAT YOU'LL WORK ON As Principal Data Scientist, you will play a pivotal role in advancing Nike's sport science capabilities through innovative data science and machine intelligence. You'll leverage your expertise to solve complex problems, drive impactful research, and deliver scalable solutions that power athlete and product innovation. You will: Apply expertise in signal processing, machine learning, sensor fusion, computer vision, and other areas of machine intelligence to solve complex problems using large, diverse datasets. Develop and deploy predictive models in production environments to power personalized digital experiences for athletes and consumers. Drive the development of large-scale experimentation capabilities and help identify causal factors influencing athletic performance and behavior. Lead the creation, acquisition, and maintenance of high-quality datasets that enable ongoing exploration and unlock value for NSRL and partner organizations. Investigate and evaluate new technologies, software, machine learning techniques, and capabilities to keep NSRL at the forefront of innovation. Communicate technical information, methods, and findings clearly and concisely to technical and non-technical teams, partners, and senior management. Create specifications and documentation for external professional services firms to achieve team objectives efficiently. Stay connected with machine intelligence innovations across the industry and share insights with team members and partners throughout Nike. We offer a number of accommodations to complete our interview process including screen readers, sign language interpreters, accessible and single location for in-person interviews, closed captioning, and other reasonable modifications as needed. If you discover, as you navigate our application process, that you need assistance or an accommodation due to a disability, please complete the Candidate Accommodation Request Form.

Posted 2 weeks ago

NTT DATA logo

Data Centre Remote Hands Engineer

NTT DATAred lion, PA
Make an impact with NTT DATA Join a company that is pushing the boundaries of what is possible. We are renowned for our technical excellence and leading innovations, and for making a difference to our clients and society. Our workplace embraces diversity and inclusion - it's a place where you can grow, belong and thrive. Your day at NTT DATA The Data Centre Remote Field Service Engineer (L1) is an entry level engineering role, operating in region and responsible for providing a professional remote technical support service to clients by identifying and resolving technical incidents and problems. Through pre-emptive service incident and resolution activities, this role will restore service to clients by driving incidents to an effective resolution and ensuring all requests, process events and resolution incidents result in zero missed service level agreement (SLA) conditions. Key responsibilities: Maintains the support process and ensures that requests for support are handled according to the procedures. Uses service assurance software and tools to investigate and diagnose problems, collects performance statistics and creates reports, working with users, other staff and suppliers as appropriate. Identifies and resolves problems following agreed procedures. Carries out agreed maintenance tasks. Ensures usage of knowledge articles in incident diagnosis and resolution and assist with updating as and when required. Performs defined tasks to monitor service delivery against service level agreements and maintains records of relevant information. Analyses service records against agreed service levels regularly to identify actions required to maintain or improve levels of service, and initiates or reports these actions. Prioritises and diagnoses incidents according to agreed procedures. Investigates causes of incidents and seeks resolution. Escalates unresolved incidents and follows up until incident is resolved. Provides service recovery, following resolution of incidents. Documents and closes resolved incidents according to agreed procedures. Maintains secure, accurate, complete, and current configuration on configuration items (CIs). Applies tools, techniques and processes to track, log and correct information related to CIs, ensuring protection of assets and components from unauthorized change, diversion, and inappropriate use. Remotely investigates and identifies root cause of incidents and assist with the implementation of agreed remedies and preventative measures. Maintains knowledge of specific specialisms, provides detailed advice regarding their application. Ensures efficient and comprehensive resolution of incidents, including ensuring that repairs are carried out by coordinating product requests, working with other team members. Provides continuous feedback to clients and affected parties and update all systems, portals and ticketing tools as prescribed by standard operating procedures. Identifies problems and errors prior to or when they occur. Logs all such incidents in a timely manner with the required level of detail with all the necessary. Cooperates with all stakeholders including client IT environments, vendors, carriers and colleagues to expedite diagnosis of errors and problems and to identify a resolution. Knowledge, Skills and Attributes: Ability to communicate and work across different cultures and social groups. Ability to plan activities and projects well in advance and takes into account possible changing circumstances. Ability to maintain a positive outlook at work. Ability to work well in a pressurized environment. Ability to work hard and put in longer hours when it is necessary. Ability to apply active listening techniques such as paraphrasing the message to confirm understanding, probing for further relevant information, and refraining from interrupting. Ability to adapt to changing circumstances. Ability to place clients at the forefront of all interactions, understanding their requirements, and creating a positive client experience throughout the total client journey. Entry level knowledge of vendor technologies, such as (but not limited to) Cisco, EMC, Dell Avaya etc. Entry level knowledge on management agent concepts, redundancy concepts and remote console architecture within supported technical domain. Academic qualifications and certifications: Bachelor's degree or equivalent in Information Technology or Computing or related field. Associate level certification in different Data Centre technologies such as Cisco, NetApp, EMC- Ex: CCNA (DC) etc. Required experience: Entry level experience in call center routing technologies, voice over IP technologies, Security/firewalls, Networking (routing, switching, distribution, core and access layers) and IT infrastructure (storage, backup, computing, server virtualization and etc.). Entry level experience in technical support to clients. Entry level experience in diagnosis and troubleshooting. Entry level experience providing remote support in Data Center technologies. Entry level experience in relevant technology. Workplace type: On-site Working About NTT DATA NTT DATA is a $30+ billion business and technology services leader, serving 75% of the Fortune Global 100. We are committed to accelerating client success and positively impacting society through responsible innovation. We are one of the world's leading AI and digital infrastructure providers, with unmatched capabilities in enterprise-scale AI, cloud, security, connectivity, data centers and application services. Our consulting and industry solutions help organizations and society move confidently and sustainably into the digital future. As a Global Top Employer, we have experts in more than 50 countries. We also offer clients access to a robust ecosystem of innovation centers as well as established and start-up partners. NTT DATA is part of NTT Group, which invests over $3 billion each year in R&D. Equal Opportunity Employer NTT DATA is proud to be an Equal Opportunity Employer with a global culture that embraces diversity. We are committed to providing an environment free of unfair discrimination and harassment. We do not discriminate based on age, race, colour, gender, sexual orientation, religion, nationality, disability, pregnancy, marital status, veteran status, or any other protected category. Join our growing global team and accelerate your career with us. Apply today. Third parties fraudulently posing as NTT DATA recruiters NTT DATA recruiters will never ask job seekers or candidates for payment or banking information during the recruitment process, for any reason. Please remain vigilant of third parties who may attempt to impersonate NTT DATA recruiters-whether in writing or by phone-in order to deceptively obtain personal data or money from you. All email communications from an NTT DATA recruiter will come from an @nttdata.com email address. If you suspect any fraudulent activity, please contact us.

Posted 2 weeks ago

TI Fluid Systems logo

Senior Data Scientist

TI Fluid SystemsAuburn Hills, MI
Position Summary: TI Automotive is launching a new AI department to drive enterprise-wide transformation through predictive and generative AI solutions. We are seeking a Senior Data Scientist to lead this technical charge-someone who combines deep machine learning expertise with strong leadership and business acumen, particularly in the automotive supplier space. This is a rare opportunity to shape a newly forming team, mentor top talent, and build scalable AI solutions that improve manufacturing efficiency, supply chain resilience, and customer experience. Your leadership will be instrumental in making AI a strategic advantage for TI Automotive. Key Responsibilities: Translate complex business challenges into high-impact predictive and generative AI use cases. Collaborate with stakeholders across engineering, IT, and business functions to align AI efforts with organizational priorities. Lead a team of machine learning engineers to design, build, and deploy end-to-end AI solutions across various business domains. Mentor and grow a high-performing technical team, fostering a culture of innovation, accountability, and continuous learning. Provide technical direction in model architecture selection, training strategy, performance evaluation, and deployment. Oversee development and optimization of ML pipelines, MLOps workflows, and cloud-native AI platforms (preferably Azure). Stay ahead of emerging AI trends-especially in GenAI and Agentic AI-and strategically integrate them where valuable.Ensure responsible AI practices by promoting model explain ability, fairness, and governance. Minimum Qualifications: Bachelor in Machine Learning, Artificial Intelligence, Computer Science, or a related technical field. 10+ years of experience in AI/ML, including at least 3 years in a technical leadership or managerial role. Proven experience building and deploying AI solutions in the automotive industry, with strong domain knowledge in manufacturing, logistics, or quality systems. Deep hands-on expertise in predictive modeling, deep learning (CNNs, Transformers), and GenAI technologies (LLMs, RAG, embeddings, vector databases). Experience leading teams building production-grade ML systems using MLOps practices and cloud infrastructure (Azure preferred). Excellent communication skills with the ability to explain complex technical topics to both technical and non-technical stakeholders. Candidates must reside in the Detroit Metropolitan area and able to work onsite 5 days a week. Preferred Qualifications: Background in deploying predictive solutions in automotive industry or related domains - Manufacturing, Supplychain, Finance etc. Experience with agent-based AI systems and applied use of LLMs in enterprise environments. Knowledge MLOps, model lifecycle management, and responsible AI practices. The Ideal Candidate: You are a hands-on technical leader who thrives on mentoring and empowering engineering talent. You understand the unique challenges and opportunities in the automotive space and are eager to apply AI to solve them. You are comfortable with ambiguity and excited to build from the ground up. You lead with vision, communicate with clarity, and act with purpose. You are passionate about turning AI potential into real-world business value. Physical Requirements: Regular and predictable attendance. Ability to work at a personal computer for extended periods of time. Ability to tolerate stress. EEO Statement: TI Fluid Systems is committed to equal employment opportunity regardless of race, color, religion, sex, national origin, sexual orientation, age, citizenship, marital status, pregnancy status, disability, gender identity or Veteran status.

Posted 30+ days ago

Johnson & Johnson logo

Analyst II, Global Data Manager

Johnson & JohnsonSpring House, PA

$92,000 - $148,350 / year

At Johnson & Johnson, we believe health is everything. Our strength in healthcare innovation empowers us to build a world where complex diseases are prevented, treated, and cured, where treatments are smarter and less invasive, and solutions are personal. Through our expertise in Innovative Medicine and MedTech, we are uniquely positioned to innovate across the full spectrum of healthcare solutions today to deliver the breakthroughs of tomorrow, and profoundly impact health for humanity. Learn more at https://www.jnj.com Job Function: Data Analytics & Computational Sciences Job Sub Function: Clinical Data Management Job Category: Professional All Job Posting Locations: Raritan, New Jersey, United States of America, Spring House, Pennsylvania, United States of America, Titusville, New Jersey, United States of America Job Description: About Innovative Medicine Our expertise in Innovative Medicine is informed and inspired by patients, whose insights fuel our science-based advancements. Visionaries like you work on teams that save lives by developing the medicines of tomorrow. Join us in developing treatments, finding cures, and pioneering the path from lab to life while championing patients every step of the way. Learn more at https://www.jnj.com/innovative-medicine We are searching for the best talent for Analyst II, Global Data Manager to be located in Spring House, NJ or Raritan or Titusville, NJ. Purpose: The Analyst II Data Manager is a professional individual contributor role at junior level that provides oversight and accountability and/or executes data management activities and/or performs scientific data review for more than one trial of low to moderate complexity or for one high complexity trial. The Analyst II Data Manager makes recommendations and influences decisions for specific trials or assignments. This position analyzes and provides input into decisions with direction from manager or Data Management Leader (DML). Work is received in broad terms. Work is reviewed on an ongoing basis with Data Management Leader and the amount of instruction is limited. You will be responsible for: Take a leadership role with external suppliers, trial customers and other internal/external partners to establish, align and confirm data management and/or clinical data management expectations to the business for assigned trial(s) to include but not limited to: Gather and/or review content and integration requirements for eCRF and other data collection tools. Establish conventions and quality expectations for clinical data. Establish expectations for dataset content and structure. Set timelines and follow-up regularly to monitor delivery of all data management milestones. Review clinical data management documents (including submission package) ensuring appropriate quality, scientific content, organization, clarity, accuracy, format, and consistency. Ensure compliance with regulatory guidelines and the documentation matrix. Ensure real-time inspection readiness of all DM deliverables for the trial and participate in regulatory agency and J&J internal audits as necessary. Plan and track content, format, quality, and timing of applicable data management deliverables. Ensure deliverables are on time. Take a leadership role with the assigned clinical working group(s) to ensure that DM and TA trial needs and deliverables are achieved. Create key functional plans (e.g. study Integrated Review Plan) ensuring appropriate quality, scientific content, organization, clarity, accuracy, format, and consistency. Identify and communicate lessons learned, best practices, and frequently asked questions at the trial level. Identify and participate in process, system, and tool improvement initiatives. Perform trial level oversight controls and/or execute data management activities per applicable procedures, with DML direction. Qualifications/Requirements: Education: Minimum of Bachelor's degree (e.g., BS, BA) or equivalent professional experience is required, preferably in Clinical Data Management, Health, or Computer Sciences is required. Advanced degrees preferred (e.g., Master, PhD). Experience/Skills: Required: Minimum of 2 years of experience in Pharmaceutical, CRO or Biotech industry or related field or industry. Experience in clinical drug development within the pharmaceutical industry or related industry. Experience working with cross functional stakeholders and teams. Strong written and verbal communications skills (in English). Preferred: Team leadership experience. Clinical data management experience and/or knowledge of scientific concepts presented in clinical trial protocols. In-depth knowledge of current clinical drug development processes. In-depth knowledge of applicable international guidelines regarding data management of clinical trials. Knowledge of technology platforms and systems to capture and process data as well as understanding of data privacy rules in relation to clinical data exchange. Other: Approx. The expected pay range for this position is $92,000 to $148,350. The Company maintains highly competitive, performance-based compensation programs. Under current guidelines, this position is eligible for an annual performance bonus in accordance with the terms of the applicable plan. The annual performance bonus is a cash bonus intended to provide an incentive to achieve annual targeted results by rewarding for individual and the corporation's performance over a calendar/ performance year. Bonuses are awarded at the Company's discretion on an individual basis. Subject to the terms of their respective plans, employees and/or eligible dependents are eligible to participate in the following Company sponsored employee benefit programs: medical, dental, vision, life insurance, short and long-term disability, business accident insurance, and group legal insurance. Subject to the terms of their respective plans, employees are eligible to participate in the Company's consolidated retirement plan (pension) and savings plan (401(k)). This position is eligible to participate in the Company's long-term incentive program. Subject to the terms of their respective policies and date of hire, employees are eligible for the following time off benefits: Vacation- 120 hours per calendar year Sick time- 40 hours per calendar year; for employees who reside in the State of Colorado- 48 hours per calendar year; for employees who reside in the State of Washington- 56 hours per calendar year Holiday pay, including Floating Holidays- 13 days per calendar year Work, Personal and Family Time - up to 40 hours per calendar year Parental Leave- 480 hours within one year of the birth/adoption/foster care of a child Bereavement Leave- 240 hours for an immediate family member: 40 hours for an extended family member per calendar year Caregiver Leave- 80 hours in a 52-week rolling period10 days Volunteer Leave- 32 hours per calendar year Military Spouse Time-Off- 80 hours per calendar year For additional general information on company benefits, please go to: https://www.careers.jnj.com/employee-benefits This job posting is anticipated to close on February 5, 2026. The Company may however extend this time-period, in which case the posting will remain available on https://www.careers.jnj.com to accept additional applications. Johnson & Johnson is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, age, national origin, disability, protected veteran status or other characteristics protected by federal, state or local law. We actively seek qualified candidates who are protected veterans and individuals with disabilities as defined under VEVRAA and Section 503 of the Rehabilitation Act. Johnson & Johnson is committed to providing an interview process that is inclusive of our applicants' needs. If you are an individual with a disability and would like to request an accommodation, please contact us via https://www.jnj.com/contact-us/careers or contact AskGS to be directed to your accommodation resource. Required Skills: Preferred Skills: Advanced Analytics, Biostatistics, Business Behavior, Clinical Data Management, Clinical Operations, Communication, Cross-Functional Collaboration, Database Applications, Data Privacy Standards, Data Savvy, Good Clinical Practice (GCP), Organizing, Problem Solving, Report Writing, Standard Operating Procedure (SOP), Systems Analysis The anticipated base pay range for this position is : $92,000.00 - $148,350.00 Additional Description for Pay Transparency: Subject to the terms of their respective plans, employees are eligible to participate in the Company's consolidated retirement plan (pension) and savings plan (401(k)). This position is eligible to participate in the Company's long-term incentive program. Subject to the terms of their respective policies and date of hire, employees are eligible for the following time off benefits: Vacation- 120 hours per calendar year Sick time- 40 hours per calendar year; for employees who reside in the State of Colorado- 48 hours per calendar year; for employees who reside in the State of Washington- 56 hours per calendar year Holiday pay, including Floating Holidays- 13 days per calendar year Work, Personal and Family Time - up to 40 hours per calendar year Parental Leave- 480 hours within one year of the birth/adoption/foster care of a child Bereavement Leave- 240 hours for an immediate family member: 40 hours for an extended family member per calendar year Caregiver Leave- 80 hours in a 52-week rolling period10 days Volunteer Leave- 32 hours per calendar year Military Spouse Time-Off- 80 hours per calendar year For additional general information on Company benefits, please go to: - https://www.careers.jnj.com/employee-benefits

Posted 3 days ago

Barry-Wehmiller logo

Controls Project Manager-Data Center

Barry-WehmillerSterling, VA

$100,000 - $150,000 / year

About Us: BW Design Group is a fully integrated architecture, engineering, construction, system integration, and consulting firm committed to helping our clients realize their most critical goals from Strategy to Commercialization. As the only firm born from a manufacturing technology company to become an independent and fully integrated firm, we combine deep domain expertise in the manufacturing environment with an approach that is built to serve the dynamic needs of our clients. Rooted in our distinct culture of Truly Human Leadership, we cultivate the leaders who will define tomorrow and partner with our clients in the food & beverage, life sciences, industrial, and advanced technology industries to build the future of manufacturing and technology. Barry-Wehmiller is a diversified global supplier of engineering consulting and manufacturing technology for the packaging, corrugating, sheeting and paper-converting industries. By blending people-centric leadership with disciplined operational strategies and purpose-driven growth, Barry-Wehmiller has become a $3 billion organization with nearly 12,000 team members united by a common belief: to use the power of business to build a better world. Job Description: Who You'll Work With Design Group is a leading engineering and technology firm operating at the intersection of digital infrastructure and industrial solutions. As the data center market experiences unprecedented growth, we are expanding our team to support the long-term deployment of large-scale, mission-critical infrastructure across key regional clusters. As a Deployment Project Manager, you will play a critical leadership role onsite, helping drive the consistent rollout of standardized systems across complex, fast-paced environments. You'll serve as a linchpin between design, integration, and field execution teams, ensuring that deployments stay aligned with program objectives, timelines, and quality standards. You will be joining an established operational effort supporting some of the largest and most advanced data center clusters in the world. Your ability to lead through complexity, maintain operational discipline, and contribute to a high-functioning deployment process will be essential to the success of the overall program. What You'll Do Manage the successful deployment of multiple greenfield data centers; scopes typically include both BMS and EPMS Receive the applications from the design team and deploy them to each site Manage large capital projects in Procore including: L1-L5 startup and commissioning support Material Receiving/Transfer Observation tracking and closeout Schedule tracking and communication RFI management Communicate staffing needs to the rest of the firm Oversee deployment team responsible for: Point to Point check out of thousands of devices Configuration of communication protocols for multiple types of equip ment including switchgear, breakers, power meters, etc. Configuration and calibration of instruments (meters, VFD's, flow meters. Deployment and commissioning of Ignition applications, Rockwell controls and/or other similar control systems involving PLCs and SCADA. Provide guidance/leadership to Design Group subcontractors (electricians) onsite Budget/Forecasting skills Site Safety and enforcing Design Group safety procedures. Client interfacing and vendor relationships What You'll Bring Bachelor's degree in engineering or equivalent experience 5+ years' experience starting up control systems with significant onsite time. Strong communicator and ability/desire to work within large teams made up of Design Group professionals, the trades, a GC and the client. Passionate about the success of their teams and their projects The Deployment Project Manager must reside in the vicinity of the data center campus and should expect to have a high level of site presence to be successful in this role. Relocation timing: Negotiable, dependent on location and opportunity. Our culture and commitment to our people is what sets us apart. We foster an environment of mutual respect, integrity, and unconditional interest in the individual and collective success of our professionals. Our model and entrepreneurial mindset offer a rewarding, challenging, and highly flexible path. As a Controls Engineer, you will build a meaningful and fulfilling career with the support of professional development resources and mentorships including our First Year Experience program, Individual Development Plans, and Career Path resources and tools. You will be surrounded by exceptional talent who will support your development as both a world-class engineer and a highly effective leader. Feel like you're on the path to becoming a Controls Engineer but you're not quite there yet? We'd love to connect with you to see if we can take you from where you are today and grow you into a Design Group Engineering Consultant. The approximate pay range for this position is $100-$150k. Please note that the pay range provided is a good faith estimate for the position at the time of posting. Final compensation may vary based on factors including but not limited to background, knowledge, skills, and abilities as well as geographic location of the position. #LI-CG1 At Barry-Wehmiller we recognize that people come with a wealth of experience and talent beyond just the technical requirements of a job. If your experience is close to what you see listed here, please still consider applying. We know that our differences often can bring about innovation, excellence and meaningful work-therefore, people from all backgrounds are encouraged to apply to our positions. Please let us know if you require reasonable accommodations during the interview process. Barry-Wehmiller is an equal opportunity employer. M/F/D/V This organization uses E-Verify. Applicants may be subject to pre-employment screening which may include drug screening, reference checks, employment verifications, background screening and/or skills assessments. Company: Design Group

Posted 30+ days ago

Nimble logo

Data Engineer II

NimbleSan Francisco, CA

$140,000 - $190,000 / year

About Nimble Nimble is an AI robotics company building the autonomous supply chain to enable fast, efficient, and sustainable commerce. We're developing a general-purpose robot AI and a warehouse generalist superhumanoid robot, the first robot in the world capable of performing all core warehouse functions. We recently closed a $106M Series C at a $1B valuation, and we are continuing to grow our world-class team. Mission: to empower and inspire mankind to accomplish legendary feats by inventing robots that liberate us from the menial. Vision: invent the Autonomous Supply Chain - everything from the inside of factories and warehouses to your front door - powered by industry-generalist superhumanoids to deliver faster, more efficient, and more sustainable commerce. Our founding team comes from the AI labs at Stanford and Carnegie Mellon and our board of directors include famed robotics and AI legends including Marc Raibert (founder of Boston Dynamics), Sebastian Thrun (founder of GoogleX, Waymo; Stanford Professor and considered the father of autonomous vehicles) and Fei-Fei Li (Chief Scientist of AI at Google and Director of Stanford's AI Lab). Join us and leave your mark on the future of robotics, AI, and global commerce. Link: Nimble Closes $106 Million Series C Funding Round, Scales Fully Autonomous Fulfillment with FedEx Link: FedEx Announces Expansion of FedEx Fulfillment With Nimble Alliance Why Join Nimble? At Nimble, we are committed to building legendary products, a legendary team, and a legendary legacy. Join us and become part of an ambitious, humble, and resourceful culture where your work will leave a lasting impact on the future of robotics and commerce. Nimble's Core Values: Be relentlessly resourceful- Challenge conventions and overcome obstacles. Be legendary- Be the very best and do work that inspires. Be humble- Prioritize growth, learning, and doing whatever is needed to further the mission. Be dependable- Take ownership and deliver with high agency. About the Role: Help us advance our robotics moonshot by scaling our data engineering efforts. Drive design and development of data infrastructure across our products and internal tools. You will play a critical role in working with our world-class cross-functional team to architect and build the world's most advanced robotic systems for the world's biggest robotics opportunity! Responsibilities Design and maintain scalable, reliable data pipelines. Ensure timely and efficient data collection, processing, and availability. Integrate data from multiple sources for both batch and streaming analytics. Manage and optimize the data lakehouse for performance and reliability. Apply best practices in data modeling, pipeline design, and query optimization. Monitor pipeline performance and troubleshoot issues. Develop and manage ETL/ELT processes for loading data into data warehouses and data lakes. Maintain data integrity and consistency across systems. Collaborate with engineering, product, finance, bizops, and other teams to understand data needs and deliver solutions. Provide data engineering support to ensure data accessibility and usability company-wide. Define and enforce data quality standards. Implement data governance to ensure compliance with internal and external policies. Stay current with industry trends and technologies in data engineering. Continuously improve data processes and infrastructure for efficiency and scalability. Document data engineering processes, designs, and architectures Qualifications Fast learner with a strong work ethic, high performance standards, and ambition. 1-4 years of experience in a tech company or fast-growing startup. BS/MS/PhD in Computer Science, Mathematics, Computer Engineering, or a related field, or equivalent practical experience. Proficiency in writing production-grade code in at least one of: Python, Java, Rust, Go, or Scala. Strong debugging skills and the ability to diagnose and resolve issues efficiently. Experience with Kafka and/or Spark. Experience working with AWS or other cloud platforms. Nice To Have Experience with modern data engineering tools like Databricks, Clickhouse, DeltaLake, Apache Iceberg, Apache Flink, Parquet, Apache, Arrow Airflow Experience with Robotics, Machine Learning and Mechanical Engineering Additional Requirements Willing to work extended hours and weekends if needed This position is based full time in our San Francisco headquarters $140,000 - $190,000 a year The above range is the base salary range. This candidate will also receive generous equity! Culture: We embrace challenges and strive to make the impossible possible each day. We're not in this to do what's easy or to be mediocre. We want to create something legendary and leave our mark on the world. We're ambitious, we're gritty, we're humble and we're relentlessly resourceful in pursuit of our goals. If this sounds like you then you might be a great fit! Nimble Robotics, Inc. is an equal opportunity employer. We make all employment decisions based solely on merit. We provide equal employment opportunity to all applicants and employees without discrimination on the basis of race, color, religion, national origin, ancestry, disability, medical condition, genetic information, marital status, sex, gender, gender identity, gender expression, sexual orientation, age, military or veteran status, or any other characteristic protected by applicable state, federal or local laws. Nimble's Benefits Unlimited Flexible Time Off Enjoy the time you need to travel, rejuvenate, and connect with friends and family. Health Insurance Nimble provides medical, dental, and vision insurance through several premier plans and options to support you and your family. Paid Parental Leave Enjoy paid bonding time following a birth. Commuter Benefits Take the stress out of commuting with access to fully-paid parking spots. Referral Bonus Get a cash bonus for any friend or colleagues that you refer to us that we end up hiring. 401k Contribute towards a 401k for retirement planning. Equity Be an owner in Nimble through our equity program

Posted 1 week ago

Point72 logo

Cubist Data Scientist

Point72New York, NY
About Cubist Cubist Systematic Strategies, an affiliate of Point72, deploys systematic, computer-driven trading strategies across multiple liquid asset classes, including equities, futures and foreign exchange. The core of our effort is rigorous research into a wide range of market anomalies, fueled by our unparalleled access to a wide range of publicly available data sources. Role We are passionate about data. We collaborate to build elegant, effective, scalable and highly reliable solutions to empower predictive modelling in finance. Cubist's data services group is looking for a Data Scientist to join our dedicated team. Our group is responsible for the timely delivery of comprehensive and error-free data to some of the most demanding and successful systematic Portfolio Managers in the world. This exceptional individual will be a member of a small team of Data Scientists who play a vital role in ensuring the smooth day-to-day implementation of a large research infrastructure, and the live production trading of billions of dollars of capital across global capital markets, including equities, futures, options and other financial instruments. Responsibilities Analyzing financial datasets and preparing reports for investment teams Creating derived data content and data ingestion pipelines Identifying potential data sources Engaging with vendors to understand characteristics of datasets Defining and automating qualitative data checks Assist with data questions and requests from investment teams Creating and maintaining internal documentation on datasets Requirements Strong programming skills in Python and SQL. Experience with AWS and Airflow preferred but not required Financial industry experience preferred but not required Strong organization, communication and interpersonal skills Attention to detail and a love of process Strong oral and written communication skills Ability to exercise sound judgment in assessing and determining how to handle queries, calls and issues Ability to multitask and prioritize assignments The annual base salary range for this role is $100,000-$150,000 (USD) , which does not include discretionary bonus compensation or our comprehensive benefits package. Actual compensation offered to the successful candidate may vary from posted hiring range based upon geographic location, work experience, education, and/or skill level, among other things.

Posted 30+ days ago

Z logo

Tech Lead, Data Engineering

ZipNew York City, NY

$161,000 - $180,000 / year

Own and evolve Zip's batch, streaming, and lakehouse platforms, powering trusted data for AI, risk, and financial systems. Architect and deliver scalable, secure, and governed data products that unlock speed, accuracy, and insight across the business. Remote-first opportunity for US-based employees with the option to work in-person out of our Manhattan office Start your adventure with Zip The Tech Lead-Data Engineering is a senior technical owner responsible for the architecture, reliability, and evolution of Zip's core data platforms powering financial operations, risk, analytics, and AI. This role owns technical strategy across one or more high-impact data domains and delivers outcomes through hands-on execution, architectural leadership, and operational rigor. You will design and operate mission-critical batch and real-time data systems with strong guarantees around correctness, timeliness, availability, security, and cost, while raising the technical bar across the data engineering organization. Interesting problems you'll get to solve Platform Architecture & Technical Strategy Own the technical direction and long-term architecture of Zip's data platforms across Data Lake, Lakehouse, and Streaming systems. Make and document architectural decisions across Snowflake, Databricks, Azure, and open table formats (Iceberg, Delta, Delta Live Tables), balancing scalability, governance, correctness, and unit economics. Define reference architectures for ingestion, transformation, storage, and consumption, with clear contracts and ownership boundaries. Establish standards for ETL/ELT, data modeling (Medallion, Data Vault, Kimball), schema evolution, data contracts, and access patterns using Airflow (Astronomer), Python, SQL, and cloud-native tooling. Define and enforce transformation standards using dbt Core / dbt Cloud, including modular modeling, testing, documentation, and CI-integrated deployments. Design and operate high-throughput batch and streaming pipelines using Kafka / Azure Event Hub, including CDC and event-driven architectures. Own ingestion reliability and scalability using Airbyte and custom frameworks, ensuring data completeness and correctness. Ensure platforms meet fintech-grade non-functional requirements, including security, privacy, compliance, resiliency, and cost controls. Reliability, Quality & Operational Excellence Set the standard for production-grade data systems: deterministic, testable, fault-tolerant, observable, and recoverable. Own engineering quality across design reviews, code standards, testing strategies, and data validation frameworks. Lead investigation and resolution of complex, cross-platform incidents impacting financial reporting, risk, or customer-facing analytics. Define and enforce SLAs/SLOs, incident response playbooks, and postmortem practices. Drive Monitoring-as-Code and deep observability across pipelines, storage, and compute, including freshness, volume, and quality metrics. Analytics, Risk & AI Enablement Build trusted, well-modeled data foundations supporting financial reporting, risk modeling, BI, AI/ML, vector search, and NLQ use cases. Ensure analytical and AI workloads operate safely and predictably without compromising data integrity or platform stability. Apply data governance by design, including ownership, lineage, access controls, and data quality enforcement to meet regulatory and audit requirements. Design and maintain a centralized semantic layer to ensure consistent metrics, trusted insights, and self-service analytics across BI, experimentation, and AI. Partner with Risk, Legal, and Governance teams to ensure Responsible AI, auditability, and compliance are enforced by design. Execution, Economics & Technical Judgment Translate ambiguous, high-impact initiatives into clear technical strategies and delivery plans. Drive a data product mindset, defining ownership, SLAs, contracts, and documentation for domain-aligned data products. Anticipate scaling limits, failure modes, and cost inflection points, making explicit trade-offs grounded in strong economic thinking. Proactively reduce technical debt and operational risk, prioritizing work that compounds platform leverage. Delegate ownership while maintaining architectural coherence and high engineering standards. Technical Leadership Act as a technical multiplier, mentoring senior engineers and accelerating organizational maturity. Lead technical hiring, onboarding, design forums, and knowledge-sharing practices. Influence cross-functional partners across Product, Analytics, Risk, Finance, and Engineering through clear technical communication and data-driven decision-making. What you'll bring to the team 10+ years building and operating large-scale, distributed data platforms, ideally in fintech or regulated environments. Deep, hands-on expertise with: Snowflake, Databricks, Airflow (Astronomer), Python, SQL Azure cloud infrastructure Kafka / Event Hub, batch and streaming architectures Airbyte, CDC, and modern ingestion patterns Open table formats (Iceberg, Delta) Analytics and governance tooling (Atlan, Tableau, Power BI) Proven ability to design systems with strong correctness, availability, and observability guarantees. Strong experience with DevOps, CI/CD, Infrastructure-as-Code, and automation. Demonstrated success leading complex, multi-year data platform initiatives and influencing senior technical and business stakeholders. What you'll get in return Zip is a place where you'll get out what you put in. The newness of our sector means we need to move at pace and embrace change, and our promise to you when you join the team is that you'll feel empowered and trusted to make big things happen quickly. We want you to feel welcome and as though you have the support to be yourself, and care for yourself at work. Because it's important to us that you make the most of the opportunities you'll get to grow your skills and your career, and be surrounded by smart, friendly people and leaders that have your back. We think these are just some of the best things about being a Zipster. We will also offer you: Flexible working culture Incentive programs Unlimited PTO Generous paid parental leave Leading family support policies Company-sponsored 401k match Learning and wellness subscription stipend Beautiful Union Square office with a casual dress code Industry-leading, employer-sponsored insurance for you and your dependents, with several 100% Zip-covered choices available Zip is committed to a straightforward and transparent pay structure. The actual base salary will be determined by various individualized factors, including job-related knowledge, skills, experience, location, internal equity, as well as other objective business considerations. The annual base Pay Range for this position is $161,000 - $180,000. This range reflects our US national compensation band (USN). Additional premium percentages may apply based on our tiered premium strategy. Subject to those same considerations, the total compensation package for this position may also include other elements, including a bonus and/or commission awards, in addition to a full range of medical, financial, and/or other benefits. If hired, employees will be in an 'at-will position' and the Company reserves the right to modify base salary (as well as any other discretionary payment or compensation or benefit program) at any time, including for reasons related to individual performance, Company or individual department/team performance, and market factors. Be a part of a team that reflects the diversity of our customers We pride ourselves on being a workplace that provides equal opportunities to people of all ages, cultural backgrounds, sexual orientations, gender identities, abilities, veteran status, and everything else that makes you unique. Equally, we're committed to ensuring our recruitment processes are accessible and inclusive. Please let us know If there are any adjustments that need to be made to ensure you have a fair and equitable experience. And finally…get to know us Zip Co Limited (ASX: ZIP) is a digital financial services company, offering innovative, people-centered products. Operating in two core markets- Australia and New Zealand (ANZ) and the US, Zip offers access to point-of-sale credit and digital payment services, connecting millions of customers with its global network of tens of thousands of merchants. We're proud to be a values-led business and our values- Customer First, Own it, Stronger Together and Change the Game - guide us in everything we do. I acknowledge by clicking "Submit Application", that the information provided is true and correct. I also understand that any willful dishonesty may render for refusal of this application or immediate termination of employment. By providing your information, you acknowledge that you have read our Zip Applicant and Candidate Privacy Notice and authorize Zip to process your data subject to those terms. Zip participates in the federal government's E-Verify program. Before you apply, give Zip a try -> rebrand.ly/check-zip-out

Posted 3 weeks ago

ICF International, Inc logo

Senior Data Engineer

ICF International, IncReston, VA

$98,614 - $167,644 / year

Job Description The company: ICF is a mission-driven company filled with people who care deeply about improving the lives of others and making the world a better place. Our core values include Embracing Difference; we seek candidates who are passionate about building a culture that encourages, embraces, and hires dimensions of difference. The Team: Our Health Engineering Systems (HES) team works side by side with customers to articulate a vision for success, and then make it happen. We know success doesn't happen by accident. It takes the right team of people, working together on the right solutions for the customer. We are looking for a seasoned Senior Data Engineer who will be a key driver to make this happen. Responsibilities: Design, develop, and maintain scalable data pipelines using Spark, Hive, and Airflow Develop and deploy data processing workflows on the Databricks platform Develop API services to facilitate data access and integration Create interactive data visualizations and reports using AWS QuickSight Builds required infrastructure for optimal extraction, transformation and loading of data from various data sources using AWS and SQL technologies Monitor and optimize the performance of data infrastructure and processes Develop data quality and validation jobs Assembles large, complex sets of data that meet non-functional and functional business requirements Write unit and integration tests for all data processing code Work with DevOps engineers on CI, CD, and IaC Read specs and translate them into code and design documents Perform code reviews and develop processes for improving code quality Improve data availability and timeliness by implementing more frequent refreshes, tiered data storage, and optimizations of existing datasets Maintain security and privacy for data at rest and while in transit Other duties as assigned Minimum Qualifications: Bachelor's degree in computer science, engineering or related field 7+ years of hands-on software or data development experience 4+ years of data pipeline experience using Python, PySpark and cloud technologies 2 years working in Spark and Hive or similar large data environments Candidate must be able to obtain and maintain a Public Trust clearance Candidate must reside in the US, be authorized to work in the US, and work must be performed in the US Must have lived in the US 3 full years out of the last 5 years Travel of up to once a quarter US domestically is required Preferred Qualifications: "U.S. Citizenship or Green Card is highly prioritized due to federal contract requirements" Experience building job workflows with the Databricks platform (Strongly Preferred) Strong understanding of AWS products including S3, Redshift, RDS, EMR, AWS Glue, AWS Glue DataBrew, Jupyter Notebooks, Athena, QuickSight, EMR, and Amazon SNS Familiar with work to build processes that support data transformation, workload management, data structures, dependency and metadata Experienced in data governance process to ingest (batch, stream), curate, and share data with upstream and downstream data users. Experienced in data pipeline builder and data wrangler who enjoys optimizing data systems and building them from the ground up. Demonstrated understanding using software and tools including relational NoSQL and SQL databases including Cassandra and Postgres; workflow management and pipeline tools such as Airflow, Luigi and Azkaban; stream-processing systems like Spark-Streaming and Storm; and object function/object-oriented scripting languages including Scala, C++, Java and Python. Familiar with DevOps methodologies, including CI/CD pipelines (Github Actions) and IaC (Terraform) Experience with Agile methodology, using test-driven development. Job Location: This position requires that the job be performed in the United States. If you accept this position, you should note that ICF does monitor employee work locations and blocks access from foreign locations/foreign IP addresses and also prohibits personal VPN connections. #DMX-HES #Li-cc1 #Indeed Working at ICF ICF is a global advisory and technology services provider, but we're not your typical consultants. We combine unmatched expertise with cutting-edge technology to help clients solve their most complex challenges, navigate change, and shape the future. We can only solve the world's toughest challenges by building a workplace that allows everyone to thrive. We are an equal opportunity employer. Together, our employees are empowered to share their expertise and collaborate with others to achieve personal and professional goals. For more information, please read our EEO policy. We will consider for employment qualified applicants with arrest and conviction records. Reasonable Accommodations are available, including, but not limited to, for disabled veterans, individuals with disabilities, and individuals with sincerely held religious beliefs, in all phases of the application and employment process. To request an accommodation, please email Candidateaccommodation@icf.com and we will be happy to assist. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. Read more about workplace discrimination rights or our benefit offerings which are included in the Transparency in (Benefits) Coverage Act. Candidate AI Usage Policy At ICF, we are committed to ensuring a fair interview process for all candidates based on their own skills and knowledge. As part of this commitment, the use of artificial intelligence (AI) tools to generate or assist with responses during interviews (whether in-person or virtual) is not permitted. This policy is in place to maintain the integrity and authenticity of the interview process. However, we understand that some candidates may require accommodation that involves the use of AI. If such an accommodation is needed, candidates are instructed to contact us in advance at candidateaccommodation@icf.com. We are dedicated to providing the necessary support to ensure that all candidates have an equal opportunity to succeed. Pay Range - There are multiple factors that are considered in determining final pay for a position, including, but not limited to, relevant work experience, skills, certifications and competencies that align to the specified role, geographic location, education and certifications as well as contract provisions regarding labor categories that are specific to the position. The pay range for this position based on full-time employment is: $98,614.00 - $167,644.00 Nationwide Remote Office (US99)

Posted 1 week ago

Aggreko logo

Business Development Manager, Data Centers

AggrekoSan Francisco, CA

$120,000 - $140,000 / year

Copy And Paste Job Description Here We're a global leader in providing energy solutions that help businesses grow and communities thrive. We work as a team and we're proud of the difference we make to customers, to local communities, and towards a sustainable future for the world. We are hiring immediately for a Business Development Manager to lead our growth efforts in the data center sector. This role will focus on building relationships with data center owners, colocation providers, and contractors, introducing them to our innovative solutions that reduce construction timelines and increase operational efficiency. Why Aggreko? Here are some of the perks and rewards. Work from home or in a local service center Competitive compensation - Base pay $120K -$140K per year Uncapped quarterly bonus structure Monthly car allowance No cost medical plan option available Paid training programs and tuition reimbursement Sales career growth potential in expertise, leadership and across territories Safety-focused culture What you'll do: Cold calling, account management, presentation development, closing deals Track all sales contacts, meetings, opportunities, proposals, and orders Selling equipment rental and services to our Datacenter customers Developing and executing an annual territory sales plan Partnering with the operations and logistics teams project execution and completement You'll have a general understanding of power generators, diesel engines, electrical distribution equipment, HVAC equipment and/or oil free air compressors We're experts, which means you'll have the following skills and experience: 7-10 years of direct business to business sales experience Advanced Knowledge of targeted territory Advanced Knowledge of the Data Center industry Proficiency with a CRM (i.e., Salesforce) Partnership with other areas of the Aggreko business (Ops, Fleet, Logistics) Bachelor's degree or relevant experience We recruit the best talent. Apply now and help us keep the power on. LI-BB1 LI-REMOTE Equal employment opportunity We welcome people from different backgrounds and cultures, and respect people's unique skills, attitudes and experiences. We encourage everyone to be themselves at work because we know that's how we do our best, for each other, for our customers, for the communities where we work, and for our careers. We are an equal opportunity employer. If you apply for a role at Aggreko, we will consider your application based on your qualifications and experience, and not on your race, colour, ethnicity, religion, sex, sexual orientation, gender identity, national origin, disability, or veteran status.

Posted 4 days ago

B logo

Data Solutions & Enablement Associate

Banco Santander BrazilBoston, MA

$78,750 - $130,000 / year

Data Solutions & Enablement Associate Country: United States of America Your Journey Starts Here: Santander is a global leader and innovator in the financial services industry. We believe that our employees are our greatest asset. Our focus is on fostering an enriching journey that empowers you to explore diverse career opportunities while nurturing your personal growth. We are committed to creating an environment where continuous learning and development are prioritized, enabling you to thrive both professionally and personally. Here, you will find ample opportunities to connect and collaborate with talented colleagues from around the world, sharing insights and driving innovation together. Join us at Santander, where you are supported by a culture of engagement and a commitment to your success. An exciting journey awaits, if you are interested in exploring the possibilities We Want to Talk to You! The Difference You Make: We are looking for a Data Solutions & Enablement Associate professional to join our team and help unlock the power of data to drive smarter decisions. In this role, you will build and enhance data solutions for analysis and reporting, measure the impact of business tests, and design automation that streamlines processes. Your work will directly support better insights, faster decision-making, and improved efficiency across the organization. This is an opportunity to make a meaningful impact by enabling smarter, data-driven decisions. You'll work with a collaborative team that values innovation, continuous learning, and efficiency. If you enjoy turning data into actionable insights and solutions, we'd love to have you on board. Develop and maintain data pipelines, reports, and dashboards to support business analysis. Design and manage champion/challenger testing to evaluate strategies and optimize performance. Automate recurring data processes to improve speed, accuracy, and efficiency. Partner with business teams to translate questions into clear analytical approaches. Ensure data accuracy, integrity, and accessibility for reporting and decision-making. Monitor and track the performance of implemented solutions, identifying opportunities for improvements. What You Bring: To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the knowledge, skill, and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. Bachelor's Degree or equivalent work experience: Computer Science, Management Information Systems or equivalent field.- Required. 6+ years of experience in data analytics, business intelligence, or a related field.-Required Proficiency in SQL and experience working with relational databases. Hands-on experience with data visualization tools (e.g., Tableau, Power BI, Looker). Strong analytical skills and ability to design and interpret A/B or champion/challenger tests. Experience with process automation tools or scripting (e.g., Python, R, Alteryx). Clear communication skills to explain technical findings to non-technical stakeholders. Certifications: No Certifications listed for this job. It Would Be Nice For You To Have: Established work history or equivalent demonstrated through a combination of work experience, training, military service, or education. Experience in Microsoft Office products. Familiarity with cloud data platforms (e.g., Snowflake, BigQuery, AWS). Experience in financial services, marketing analytics, or operations optimization. Background in statistical modeling or machine learning. What Else You Need To Know: The base pay range for this position is posted below and represents the annualized salary range. For hourly positions (non-exempt), the annual range is based on a 40-hour work week. The exact compensation may vary based on skills, experience, training, licensure and certifications and location. Base Pay Range Minimum: $78,750.00 USD Maximum: $130,000.00 USD Link to Santander Benefits: Santander Benefits- 2025 Santander OnGoing/NH eGuide (foleon.com) Risk Culture: We embrace a strong risk culture and all of our professionals at all levels are expected to take a proactive and responsible approach toward risk management. EEO Statement: At Santander, we value and respect differences in our workforce. We actively encourage everyone to apply. Santander is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, genetics, disability, age, veteran status or any other characteristic protected by law. Working Conditions: Frequent minimal physical effort such as sitting, standing and walking is required for this role. Depending on location, occasional moving and lifting light equipment and/or furniture may be required. Employer Rights: This job description does not list all of the job duties of the job. You may be asked by your supervisors or managers to perform other duties. You may be evaluated in part based upon your performance of the tasks listed in this job description. The employer has the right to revise this job description at any time. This job description is not a contract for employment and either you or the employer may terminate your employment at any time for any reason. What To Do Next: If this sounds like a role you are interested in, then please apply. We are committed to providing an inclusive and accessible application process for all candidates. If you require any assistance or accommodation due to a disability or any other reason, please contact us at TAOps@santander.us to discuss your needs.

Posted 30+ days ago

W logo

Staff Software Engineer, Data Products

Watershed Technology, Inc.New York City, NY
About Watershed Watershed is the enterprise sustainability platform. Companies like Airbnb, Carlyle Group, FedEx, Visa, and Dr. Martens use Watershed to manage climate and ESG data, produce audit-ready metrics for voluntary and regulatory reporting including CSRD, and drive real decarbonization. We are looking for team members who love product-building, want to work hard at a mission-oriented startup, and will collaborate with us in shaping the culture of a growing team. We have offices in San Francisco, New York, London, Paris, Berlin, Sydney, Mexico City, and remote team members across the US and Europe. We hope that you'll be interested in joining us! The role As part of this work, you will: Build, maintain, and expand the datasets used for sustainability impact assessment across global value chains. Design and implement data models and schemas that ensure consistency, integrity, and clear semantics across heterogeneous data sources. Develop and operate data pipelines to efficiently ingest, transform, and harmonize external datasets into well-structured, production-grade data assets. Implement robust validation, quality checks, and monitoring processes to ensure reliability and correctness of data over time. Build abstractions, tooling, and processes that empower data scientists and analysts to develop and test new pipelines safely and efficiently. Partner with product and engineering teams to make sustainability data available in ways that serve a variety of customer outcomes. You might be a fit if you: Have 6+ years of industry experience in data engineering or software engineering with a strong focus on data systems. Are fluent in Python and SQL, and have experience with data pipelining and transformation frameworks. Typescript is a plus! Have experience modeling and harmonizing data from diverse, messy, or inconsistent sources into structured, reliable datasets. Care about engineering craft: writing well-tested, maintainable code and building abstractions that scale. Are comfortable building data platforms and tooling that will be used by other engineers, scientists, and analysts. Communicate complex technical topics clearly to both technical and non-technical collaborators. Thrive in environments that combine systematic organization with attention to detail, ensuring data correctness while moving quickly. Are motivated by solving sustainability challenges and excited to do so at a fast-paced startup. Must be willing to work from an office 4 days per week (except for remote roles) Watershed has hub offices in San Francisco, New York, London, and Mexico City and satellite offices in Sydney, Paris, and Berlin. Where we have offices, employees are expected to be in office for 4 days per week. Certain jobs are open to being remote and will be specifically noted on the jobs page and in the job description if so. What's the interview process like? It starts the same for every candidate: getting to know the team members through 1 to 2 conversations about Watershed, your experience, and your interests. Next steps can vary by role, but usual next steps are a skill or experience interview (e.g. a coding interview for an engineer, a portfolio review for a designer, deeper experience call for other roles) which leads to a virtual or in person interview panel. We prioritize transparency and lack of surprise throughout the process. What if I need accommodations for my interview? At Watershed, we are dedicated to ensuring an inclusive recruitment process. We provide reasonable accommodations for candidates with disabilities, long-term conditions, mental health needs, religious observances, neurodivergence, or pregnancy-related support requirements. If you need assistance during your process, please contact your recruiter.

Posted 1 week ago

KIPP Bay Area Schools - San Francisco logo

Dean Of Data & Student Information - High School (26-27)

KIPP Bay Area Schools - San FranciscoStockton, CA

$90,000 - $99,785 / year

Position Summary JOB DESCRIPTION At KIPP Public Schools Northern California, we believe accurate and actionable student data is key to student success. We are seeking a Dean of Data and Student Information (DDSI) to ensure students meet academic and administrative milestones by holding both students and adults accountable for excellence. This leadership role is ideal for a highly organized, detail-oriented individual who follows through and sets high expectations for students and families. As the owner of the school's data systems, the DDSI meticulously maintains student records, ensures compliance with local, state, and federal requirements, and leverages data to support academic achievement, attendance, and behavioral outcomes. By analyzing trends and coordinating interventions, this role drives data-informed decisions that keep students on track for success. Reporting to the Director of School Operations, the DDSI will sit on the Operations Team as well as the Academic Leadership Team, collaborating closely with school leaders, teachers, and the Regional Operations team to ensure data drives equity and achievement. If you are detail-oriented, highly organized, and committed to using data to drive student success, we encourage you to apply! Preferred Qualifications Experience: 3+ years of experience in project or program management, with demonstrated expertise in navigating student information systems or relational databases, analyzing data trends, and ensuring data integrity. Experience working in a K-12 school. Preferred. Experience working in fast-paced, entrepreneurial environments where strong problem-solving skills and adaptability are essential. Preferred. Education: Bachelor's Degree Knowledge/skills required: Deep integrity and commitment to KIPP Public Schools' mission and values. Self-awareness, critical consciousness, and a commitment to continuous learning. Adept at problem-solving and data-driven decision-making, with a keen attention to detail. Strong organizational skills and the ability to manage multiple priorities effectively. Ability to self-direct, prioritize, and strategically plan competing priorities to drive outcomes. Ability to impact and influence staff to drive results. Demonstrated commitment to building trusting relationships and contributing to a positive team culture Proficiency in Google Suite and student information systems (e.g., PowerSchool or similar). Advanced skill set in Google Sheets, including an ability to proficiently use the following functions: ARRAYFORMULA VLOOKUP/HLOOKUP INDEX & MATCH IMPORTRANGE FILTER REGEXMATCH / REGEXEXTRACT SUMIFS / COUNTIFS / AVERAGEIFS Excellent communication skills and customer service approach, with the ability to clearly explain complex data and processes to students, families, and staff. Essential Functions and Responsibilities Student Enrollment & Records Management: Manage student registration, enrollment, withdrawal, and transfer processes, ensuring accuracy and compliance. Lead student lottery processes, including preparation, data management, and post-lottery enrollment communications. Own and oversee the online student registration process, collecting and tracking required materials. Verify and process student records, including enrollment eligibility, transcripts, and demographic data. Maintain accurate student records in compliance with federal, state, and school policies, ensuring data security and confidentiality. Manage student records requests from external schools, colleges, and regional operations. Student Information & Data Accuracy: Sits on the Academic Leadership Team, serving as the campus expert on student information systems (PowerSchool, CALPADS, Schoolmint, Deanslist, ParentSquare, Clever), ensuring all data is up-to-date. Steward all student data systems--including owning policies and protocol. Train staff to maintain accurate student data, especially adherence to the grading, attendance, and behavior/discipline policies, and hold staff accountable to these expectations. Lead school-level audits to ensure compliance and accuracy of student data. Manage student and staff access to Ed Tech programs through Clever. Analyze key student data trends (e.g., attendance, academic progress, discipline) to support leadership in decision-making. Manage data requests from local authorizers and internal stakeholders for grant reports, research, and compliance reporting. Coordinates weekly COST meetings, including owning the agenda, identifying students to assign case managers, rolling up schoolwide data and trends, progress monitoring interventions, and holding cost team members accountable for follow through. Participate in regional audits to ensure 100% accuracy of student data. Attendance Compliance & Intervention: Lead campus-wide daily attendance processes, ensuring compliance with district and state guidelines. Analyze attendance data, reconcile records, and prepare attendance reports. Train and support teachers in accurate, timely attendance tracking. Facilitate bi-annual district attendance compliance audits. Support attendance interventions and incentives to reduce chronic absenteeism and increase ADA. Academic Progress Monitoring & Graduation Tracking: Ensure accurate calculation and reporting of student grades, GPAs, and credit accumulation. Develop and maintain state-compliant transcripts that align with college and career readiness. Serve as the campus expert on graduation eligibility (A-G requirements, alternative pathways) and track student progress accordingly. Coordinate with Ed Specialists and case managers to ensure alternative graduation pathways are in compliance and reflected accurately in progress to graduation and credit monitoring systems. Monitor student progress toward graduation using the regional Progress to Graduation Tool, identifying students at risk of failing or not graduating on time. Assign and track credit recovery pathways in collaboration with school leadership. Support faculty reward programs and activities that foster a culture of academic achievement. Consult leadership on student promotion and retention decisions based on academic data. Scheduling & Course Management: Lead the annual master schedule and student scheduling process, including developing and preparing the school's master schedule in PowerScheduler, scheduling students in classes, and exercising judgment to adjust student schedules. Maintain course catalogs, ensuring course integrity and alignment with graduation requirements. Coordinate teacher and advisor responsibilities to support student academic progress. Process and verify grades, report cards, and transcript updates. Family & Student Engagement: Organize and host parent workshops, student-led conferences, open houses, and other events to support academic transitions. Ensure families understand the benefits of attending a KIPP high school and how to support student success. Communicate progress updates to students, families, and staff regarding key academic, attendance, and behavioral data. Execute stakeholder communications related to enrollment, scheduling, and academic progress. Physical, Mental and Environmental Demands Physical: Ability to navigate office and school campuses, and hold meetings in different spaces. Traditionally, much of the day involves sitting. Ability to access and utilize technology. Occasional lifting/carrying of equipment 1-20 lbs. Mental: Stress of deadlines and normal work standards, ability to analyze problems and generate alternatives, work with interruptions, concentrate for long periods of time, read, calculate, perform routine math problems, memorize and recall objects and people. Environmental: Office environment subject to constant interruptions and distractions. KIPP adheres to health and safety guidelines as outlined by the CDC, CDE, and public health agencies' recommendations. Classification Full-time, exempt position. Located on site at our High School in Stockton. About KIPP Public Schools Northern California We are a thriving nonprofit network of free, public charter schools open to all students. At KIPP, we believe all children should grow up free to create the future they want for themselves and that schools can and should be a critical factor in making that vision a reality. Together with families and communities, we create joyful, academically excellent schools that prepare students with the skills and confidence to pursue the paths they choose-college, career, and beyond-so they can lead fulfilling lives and build a more just world. Our student community consists of over 7,000 elementary, middle, and high school students in East Palo Alto, Oakland, San Francisco, San Lorenzo, San Jose, Redwood City, and Stockton. 79% qualify for free or reduced price lunch, 23% are multilingual learners, and 10% have special needs. We strive to cultivate a representative team of teachers and leaders that reflect our students' diversity. Compensation KIPP Northern California is dedicated to you and your family's well-being! We offer a competitive salary as well as a comprehensive benefits package including medical, dental, vision, and transportation benefits. We benchmark annually against school districts and charter schools in the regions where we operate, to offer competitive salaries. The salary range for this position will be between $90,000 - $99,785. How to Apply Please submit a cover letter and resume by clicking apply on this page.

Posted 30+ days ago

I logo

Senior Data Security Engineer - DRM (Ts/Sci)

IT Concepts, Inc.Tampa, FL
Thank you for considering IT Concepts dba Kentro, where innovation drives opportunity and collaboration leads to success. Our dynamic community of experts is fully committed to advancing our customers' missions, fostering professional growth, and making a positive impact on our communities. By joining our supportive community, you will find that Kentro is dedicated to your personal and professional development. Together, we can drive meaningful change, spark innovation, and achieve extraordinary milestones. Kentro is seeking a highly technical Senior Data Security Engineer to drive the massive data discovery and classification effort for the Zero Trust initiative at U.S. Special Operations Command (USSOCOM). Before data can be protected, it must be found and understood. You will be responsible for illuminating "dark data" across the Command's complex information environment, ranging from hyperscale cloud data lakes on NIPR to legacy file shares and isolated storage arrays on the SIPR and Top-Secret networks. As a Data Engineer, you will architect and manage the deployment of advanced discovery platforms, specifically BigID and NetApp BlueXP. You will configure these tools to crawl petabytes of structured (SQL/Oracle), semi-structured (logs/NoSQL), and unstructured (SharePoint/File Shares) data. Your primary mission is to build the "Global Data Inventory"-a dynamic, real-time map of where sensitive CUI and classified intelligence resides-enabling the security teams to apply precision protection. You will use your knowledge of data pipelines and storage infrastructure to ensure that scanning operations provide 100% visibility without degrading network performance. Responsibilities: Data Discovery Architecture: Deploy and manage BigID and NetApp BlueXP scanners across hybrid environments, including configuring dockerized collectors for air-gapped discovery on the Top-Secret network. Structured Data Mapping: Connect discovery tools to enterprise databases (SQL Server, Oracle, PostgreSQL) to scan schemas and columns for PII, DoD ID numbers, and other sensitive indicators without impacting database performance. Unstructured Data Crawling: Configure scans for massive file repositories (NetApp NAS, QNAP, SharePoint On-Premises), optimizing scan windows and throttling to prevent latency for mission users. Cloud Data Integration: Utilize Microsoft Purview Data Map and custom connectors to inventory data residing in AWS S3 buckets, Azure Blobs, and Data Lakes. Classification Tuning: Collaborate with mission owners to train Machine Learning (ML) classifiers to recognize unique USSOCOM data types (e.g., mission names, operational codes) and reduce false positive rates in the data inventory. Location: Onsite in Tampa, FL Position Duration: The duration of this role is 18 months from project commencement, with the possibility of extension (Project expected to commence in January 2026). Master's degree (MA/MS) 10+ years of relevant experience Data Discovery Expertise: Proven experience deploying and managing enterprise data discovery and governance platforms such as BigID, Varonis, NetApp BlueXP (Data Sense), or Informatica. Storage & Database Knowledge: Strong understanding of storage protocols (NFS, SMB/CIFS, S3) and database structures (SQL, NoSQL) to troubleshoot connectivity and scanning access. Containerization: Proficiency with Kubernetes and Docker, as many modern discovery collectors are deployed as containerized microservices. Data Handling: Experience dealing with large-scale data inventories (Petabyte scale) and understanding of data lineage and provenance concepts. Clearance: Active Top-Secret clearance with SCI eligibility. The Company We believe in generating success collaboratively, enabling long-term mission success, and building trust for the next challenge. With you as our partner, let's solve challenges, think innovatively, and maximize impact. As a valued member of our team, you have the unique opportunity to work in a diverse range of technology and business career paths, all while supporting our nation and delivering innovative technology solutions. We are a close community of experts that pride ourselves on creating an environment defined by teamwork, dedication, and excellence. We hold three ISO certifications (27001:2013, 20000-1:2011, 9001:2015) and two CMMI ML 3 ratings (DEV and SVC). Industry Recognition Growth | Inc 5000's Fastest Growing Private Companies, DC Metro List Fastest Growing; Washington Business Journal: Fastest Growing Companies, Top Performing Small Technology Companies in Greater D.C. Culture | Northern Virginia Technology Council Tech 100 Honoree; Virginia Best Place to Work; Washington Business Journal: Best Places to Work, Corporate Diversity Index Winner- Mid-Size Companies, Companies Owned by People of Color; Department of Labor's HireVets for our work helping veterans transition; SECAF Award of Excellence finalist; Victory Military Friendly Brand; Virginia Values Veterans (V3); Cystic Fibrosis Foundation Corporate Breath Award Benefits We offer competitive benefits package including paid time off, healthcare benefits, supplemental benefits, 401k including an employer match, discount perks, rewards, and more. We invest in our employees- Every employee is eligible for education reimbursement for certifications, degrees, or professional development. Reimbursement amounts may fluctuate due to IRS limitations. We want you to grow as an expert and a leader and offer flexibility for you to take a course, complete a certification, or other professional growth and networking. We are committed to supporting your curiosity and sustaining a culture that prioritizes commitment to continuous professional development. We work hard; we play hard. Kentro is committed to incorporating fun into every day. We dedicate funds for activities - virtual and in-person - e.g., we host happy hours, holiday events, fitness & wellness events, and annual celebrations. In alignment with our commitment to our communities, we also host and attend charity galas/events. We believe in appreciating your commitment and building a positive workspace for you to be creative, innovative, and happy. Commitment Equal Opportunity Employment & VEVRAA Kentro is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to disability, status as a protected veteran or any other status protected by applicable federal, state or local law. Kentro is strongly committed to compliance with VEVRAA and other applicable federal, state, and local laws governing equal employment opportunity. We have developed comprehensive policies and procedures to ensure our hiring practices align with these requirements. As part of our VEVRAA compliance efforts, Kentro has established an equal opportunity plan outlining our commitment to recruiting, hiring, and advancing protected veterans. This plan is regularly reviewed and updated to ensure its effectiveness. We encourage protected veterans to self-identify during the application process. This information is strictly confidential and will only be used for reporting and compliance purposes as required by law. Providing this information is voluntary and will not impact your employment eligibility. Our commitment to equal employment opportunity extends beyond legal compliance. We are dedicated to fostering an inclusive workplace where all employees, including protected veterans, are treated with dignity, respect, and fairness. How to Apply To apply to Kentro Positions- Please click on the: "Apply for this Job" button at the bottom of this Job Description or the button at the top: "Application." Please upload your resume and complete all the application steps. You must submit the application for Kentro to consider you for a position. If you need alternative application methods, please email careers@kentro.us and request assistance. Accommodations To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. Reasonable Accommodations may be made to enable qualified individuals with disabilities to perform the essential functions. If you need to discuss reasonable accommodations, please email careers@kentro.us. #LI-SB2

Posted 30+ days ago

C logo

Mechanical Commissioning Engineer (Data Centers)

Commissioning Agents Inc.Atlanta, GA

$72,800 - $85,500 / year

THIS IS NOT A DATA ENGINEERING RELATED POSITION CAI seeks Mechanical Commissioning Engineers, Minimum of two years' experience in Data Center Commissioning to support development and execution of all mechanical aspects of commissioning projects. Position Description: This position supports development and execution of all mechanical aspects of assigned commissioning projects from initial engagement, design reviews, checklists, safety support, script development, vendor coordination, testing and report development through turn over to the client. The Mechanical Commissioning Engineer will support the development of the mechanical test schedule, finalize mechanical test procedures, review project submittals for consistency with the design intent, basis of design and the owner's project requirements, and maintain project cadence for the mechanical systems testing and associated Building Automation Systems. The Mechanical Commissioning Engineer is to support the planning and execution of commissioning for the mechanical infrastructure of the mission critical facility. They will be expected to execute against the project schedule through the coordination of contractors and/or vendors to complete the desired mechanical systems testing. CAI DC Mechanical Commissioning Engineer will be exposed to cutting edge technologies in the Hyperscale and other spaces. You will have an opportunity to work with recognized subject matter experts allowing YOU to be a key player in bringing data technologies to market. As part of our company culture, we invest in YOUR future, and commit to hands on certifications as well as professional training. Our collaborative culture ensures that our customers benefit from exemplary work across our entire range of professional services. Responsibilities: Support and contribute to all aspects of safety for all mechanical tests. Support complete commissioning and performance acceptance testing of the mechanical infrastructure systems. Development of all mechanical test procedures, MOPS, SOO's and checklists. QA/QC of all mechanical test procedures. Provide input and insight to the overall commissioning plan. Develop reports for the mechanical testing and contribute to a daily report to the Commissioning Project Manager. Attend and be an active participant of customer equipment Factory Witness Test Assist with vendor coordination and management. Perform equipment inspection to ensure build adherence to vendor submittal. Provide test documentation that equipment is delivered, installed, and tested correctly and set to function properly for the customer. Support and perform design specification review, manufacturer submittals, one line drawing sets, and project schedule documentation. QA/QC of mechanical equipment installation\startup Execute test scripts to confirm equipment and system operation to design specification. Ensure safe work practices are followed by the commissioning team and customer site. Engage with customers and vendors to ensure positive experience, goals achievement, and schedule adherence. Provide daily status reports for mechanical commissioning team status. Conduct facility walk downs, turnover, and punch list reviews. General understanding of LEED specifications and requirements. Look for new opportunities for CAI to provide service and value to customer. Duties may be increased as experience and skill allow. Requirements include: Position Requirements: Bachelor's degree or equivalent experience Minimum of 2 years Data Center Commissioning experience. Knowledge of OSHA safety requirements. Good written and verbal communication skills. Ability to read and interpret mechanical drawings, P&ID's and specifications. Knowledge of mission critical design concepts. Knowledge of various Building Automation/Monitoring Systems (BAS/BMS), Air Handlers, Humidifiers, Variable Refrigerant Flow, Computer Room Air Conditioners/Handlers (CRAC/CRAH), Evaporators, Adiabatic Coolers, Pressure/Temperature/Humidity sensors & Flowmeters. Knowledge of basic thermodynamics and heat transfer and fluid flow. Knowledge of the Test, Adjust and Balance (TAB) process. Knowledge of mechanical trend analysis. Strong experience with Word, Excel and PowerPoint. Can effectively create final products in all three programs. Work under construction site conditions Other Requirements: Excellent oral and written English is required Extensive travel may be required (75%) Candidates must have a Passport or the ability to immediately get a Passport Able to work in the US without sponsorship now or any time in the future. About CAI CAI is a 100% employee-owned company established in 1996, that has grown year over year to more than 800 people worldwide. We provide commissioning, qualification, validation, start-up, project management and consulting services related to operational readiness to FDA regulated and other mission critical industries. Are You Ready? Our approach is simple; we put the client's interests first, we do not stop until it is right, and we will do whatever it takes to get there. As owners of CAI, we are committed to living our Foundational Principles, both professionally and personally: We act with integrity We serve each other We serve society We work for our future With employee ownership, one person's success is everyone's success; we work diligently to accomplish team goals. We place Team Before Self, demonstrate Respect for Others, and possess a can-do attitude. That is how we have grown exponentially. Benefits Our full-time positions offer competitive compensation and benefits which include: up to 15% retirement contribution, 24 days PTO and 5 sick days per year, health insurance at extremely low cost to employee, financial support for both internal and external professional education as well as 70% long term disability paid for by the company. #LI-MV1 #MISSIONCRITICAL $72,800 - $85,500 a year Average salary range, not including benefits or compensatory time and possible discretionary bonuses. CAI Benefits: Comprehensive Health Insurance coverage 24 days of Paid Time Off ESOP/401K - 15% Company Contribution (US Only) Company paid Life Insurance Company paid Long Term Disability We are an equal opportunity employer; we are proud to employ veterans and promote a diverse culture in our workplace. Diversity is a strength for our global company. We pledge that CAI will be operated in a way that is fair and equitable to all - our employees, our customers, and the broader society. This job description is not all inclusive and you may be asked to do other duties. CAI will also consider for employment qualified applicants with criminal histories in a manner consistent with the requirements of the FCO. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Posted 2 weeks ago

Suno logo

Data Scientist, Content

SunoNew York, NY
About Suno Suno is a music company built to amplify imagination. Powered by the world's most advanced AI music model, Suno offers an unparalleled creative platform that includes Suno Studio, a breakthrough generative audio workstation. From shower-singers to aspiring songwriters to seasoned artists, Suno empowers a global community to create, share, and discover music-unlocking the joy of musical expression for all. About the Role As our Content Data Scientist, you'll shape how people discover and engage with music on Suno. You'll work on the full spectrum of content consumption - from listening and playlisting to feed experiences - building the insights and running the experiments that help us create compelling discovery products. You'll partner closely with product teams to understand content trends, track supply health, and optimize the ways users experience music on our platform. Check out the Suno version of this role here! What You'll Do Run insights and experimentation for song listening, playlisting, and feed consumption experiences Track content trends and supply health across the platform to inform product strategy Design and analyze experiments to optimize content discovery and engagement Contribute to building strong data foundations as part of our growing data science team What You'll Need 5+ years experience in data science roles, ideally with experience in content platforms or social products Advanced proficiency in SQL, Python, and statistical modeling Experience designing and running experiments, with ability to derive clear insights and make strategic recommendations Strong product sense and excellent communication skills, with experience working across product and engineering teams A self-starter mentality with the ability to thrive in ambiguity, eagerness to wear multiple hats, and passion for continuous learning Bonus: Background in music, audio, or content discovery products Additional Notes: Applicants must be eligible to work in the US. Perks & Benefits for Full-Time Employees Company Equity Package 401(k) with 3% Employer Match & Roth 401(k) Medical, Dental, & Vision Insurance (PPO w/ HSA & FSA options) 11 Paid Holidays + Unlimited PTO & Sick Time 16 Weeks of Paid Parental Leave Creative Education Stipend Generous Commuter Allowance In-Office Lunch (5 days per week) Suno is proud to be an Equal Opportunity Employer. We consider qualified applicants without regard to race, color, ancestry, religion, sex, national origin, sexual orientation, gender identity, age, marital or family status, disability, genetic information, veteran status, or any other legally protected basis under provincial, federal, state, and local laws, regulations, or ordinances. We will also consider qualified applicants with criminal histories in a manner consistent with the requirements of state and local laws, including the Massachusetts Fair Chance in Employment Act, NYC Fair Chance Act, LA City Fair Chance Ordinance, and San Francisco Fair Chance Ordinance.

Posted 2 weeks ago

CACI International Inc. logo

Product Architect (Data Scientist)

CACI International Inc.Sterling, VA

$120,800 - $265,800 / year

Job Title: Product Architect (Data Scientist) Job Category: Information Technology Time Type: Full time Minimum Clearance Required to Start: None Employee Type: Regular Percentage of Travel Required: Up to 10% Type of Travel: Local CACI is currently looking for a motivated, career and customer-oriented SME level Data Scientist and Product Architect with Agile methodology experience to join our Customs and Border Protection (CBP) Land Border Integration (LBI) Integrated Traveler Initiative 2.1 (ITI2.1) team in Northern Virginia! Join this passionate team of industry-leading individuals supporting the best practices in Agile Software Development and hardware integration for the Department of Homeland Security (DHS). As a member of the ITI2.1 Team, you will support the men and women charged with safeguarding the American people and enhancing the Nation's safety, security, and prosperity. CBP Officers and Border Patrol agents are on the front lines, every day, protecting our national security by combining customs, immigration, border security, and agricultural protection into one coordinated and supportive activity. CACI agile programs thrive in a culture of innovation and are constantly seeking individuals who can bring creative ideas to solve complex problems, both technical and procedural at the team and portfolio levels. The ability to be adaptable and to work constructively with a technically diverse and geographically separated team is crucial. What you'll get to do: The Data Science subject matter expert will manage and use data to design data-driven predictive maintenance model, infer and recommend business decision, and conduct root cause (causality) analysis, support IoT device signal analytics, and trend analysis for ITI2.1 requirement. We are looking for experienced engineers who know how to solve complex big data problems, work with algorithms, analyze big data and can run end-to-end data analytical pipeline. Develop an understanding of the customer's data environment through data profiling and statistical analyses Execute complex SQL queries Design and development of complex large scale OLTP systems Obtain, scrub, explore, model and interpret data currently stored in Oracle various types of databases - using SQL and other data mining tools Perform statistical analysis and tune using test results Study appropriate datasets and transform data science prototypes Research and implement appropriate machine learning algorithms and tools and develop machine learning applications according to requirements Train data-driven learning model. Maintain and work with data pipeline that transfers and processes large scale of heterogenous structural/non-structural data using Spark, Scala, Python, Apache Kafka, TensorFlow, PyTorch, and/or other data analytic tools Design, build and support pipelines of data transformation, conversion, validation Build data manipulation, processing, and data visualization tools and share these tools across the team. Leverage the statistical and computational knowledge to build algorithms for reporting. Apply data analysis, data mining and data engineering to present data clearly and develop experiments Ensure high-quality data and understand how data is generated out experimental design and how these experiments can produce actionable, trustworthy conclusions. Assist senior management in making key business decisions. Work with development teams to build tools for data logging and repeatable data tasks that will accelerate and automate data scientist duties. You have: Must be a U.S. Citizen with the ability to pass CBP background investigation, criteria includes, but not limited to: 3-year check for felony convictions 1-year check for illegal drug use 1-year check for misconduct such as theft or fraud Bachelor's degree in computer science, Math, Physics, Engineering, Statistics or other technical field and minimum 10 years of experience or equivalent. Conceptual understanding of - and/or prior experiences related to - data profiling, fuzzy matching, entity resolution, and signal detection theory (specifically with respect to SD theory: designing and improving upon systems that monitor, minimize, and balance false positive and false negative outcomes). Experience manipulating large data sets through statistical software using SAS, SPSS, R, or Matlab or other methods Experience with developing predictive models for using large data sets for high transactional volume environment Experience with evaluating and measuring performance of models Should have a firm understanding of common statistical modeling and techniques (e.g., linear regression, decision trees). Strong algorithmic problem-solving skills. Experience with statistics, modeling and machine learning techniques Statistics including but limited to hypothesis testing, regression, clustering, classification, and optimization. Ability to understand and analyze data models - how the data is stored in relational databases Ability to understand system integration aspects of integrating model input and output in transactional systems to help real time decision making Good understanding software application architecture and develop integration approaches for predictive models Possess the ability to perform with little direct supervision as a self-starter. Be a self-motivated, creative, and inquisitive problem solver with a strong work ethic and data integrity. Strong organization and time management skills - prior experience in leading a small team is preferred Must be available to work a hybrid schedule with an on-site requirement in Sterling, VA Bonus would be having: Strong government/CBP platform experience. Experience working with Hadoop, Pig/Hive, Spark, MapReduce Comprehensive Deep Learning and machine learning experience Know Python and essential data analytical packages, PyTorch or TensorFlow Bayesian learning and modeling experience Knowledge of Probabilistic learning, time series analysis Strong problem-solving skill and research capabilities Computer vision and image processing background Working knowledge of the CBP Port of Entry systems and/or their operational requirements. Experience automating business processes using RPA technologies _ ____ What You Can Expect: A culture of integrity. At CACI, we place character and innovation at the center of everything we do. As a valued team member, you'll be part of a high-performing group dedicated to our customer's missions and driven by a higher purpose - to ensure the safety of our nation. An environment of trust. CACI values the unique contributions that every employee brings to our company and our customers - every day. You'll have the autonomy to take the time you need through a unique flexible time off benefit and have access to robust learning resources to make your ambitions a reality. A focus on continuous growth. Together, we will advance our nation's most critical missions, build on our lengthy track record of business success, and find opportunities to break new ground - in your career and in our legacy. Your potential is limitless. So is ours. _ ____ Pay Range: There are a host of factors that can influence final salary including, but not limited to, geographic location, Federal Government contract labor categories and contract wage rates, relevant prior work experience, specific skills and competencies, education, and certifications. Our employees value the flexibility at CACI that allows them to balance quality work and their personal lives. We offer competitive compensation, benefits and learning and development opportunities. Our broad and competitive mix of benefits options is designed to support and protect employees and their families. At CACI, you will receive comprehensive benefits such as; healthcare, wellness, financial, retirement, family support, continuing education, and time off benefits. The proposed salary range for this position is: $120,800 - $265,800 CACI is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, pregnancy, sexual orientation, age, national origin, disability, status as a protected veteran, or any other protected characteristic.

Posted 30+ days ago

American International Group logo

Senior Data Scientist, Genai

American International GroupAtlanta, GA
AIG is on a journey to revolutionize how insurance risk is accessed, and solutions are delivered to millions of customers globally through the use of cutting edge technologies like Generative AI. Over the past year and a half we have successfully delivered highly impactful, enterprise wide Generative AI solutions into production. Our success to date is fueling the rapid expansion of use cases across AIG, and by extension, the need for new highly skilled and experienced candidates in the GenAI space to join our team. This is an exceptional opportunity to join a team that is shaping the future of insurance, lead and grow a talented team of data scientists, work on cutting edge technologies, and advance your carrier. As a Senior Data Scientist at AIG you will be serve a critical role in building and overseeing a team of highly productive data scientists tasked with the delivery of impactful enterprise level Generative AI Solutions. We are seeking someone with extensive hands-on experience, as we are an applied data science team operating in an agile and production orientated environment. You will be focused on Large Language Models (LLMs) and Machine Learning (ML). Your responsibilities include: Development and successful delivery of data science and generative AI solutions in accordance with the business requirements. Monitor solutions in production. Collaborate with cross functional teams that comprise product managers, engineers and business leaders. Build evaluation frameworks to measure LLMs efficacy, ground truth dataset quality, and guide product development roadmap What is needed to be successful: 7+ years of experience in a data science role, preferably in NLP, working in an agile production orientated environment. Expert-level understanding and practical experience (5+ years) with open-source Large Language Models (Llama2/3, Mixtral etc.), e.g., prompt engineering, inference, and fine-tuning. 3+ years of experience with building Generative AI Solutions (Prompt engineering, designing and building RAG frameworks, validation pipelines, observability and monitoring solutions) Preference will be given to candidates who have work experience on the Palantir platform or who can demonstrate certification. PHD or master's in data sciences or master's in computer science. Required Experience Ability to work in a fast pasted high stakes environment. Ability to effectively communicate and collaborate within and across teams. Ability to act in a managerial as well as hands on experience. Highly technical and hands on leader. Ready to set new industry standards? We would love to hear from you. Veterans are encouraged to apply. #LI-CM1 #LI-AIG #AI #GenAI #artificialintelligence #DataScience #BigData At AIG, we value in-person collaboration as a vital part of our culture, which is why we ask our team members to be primarily in the office. This approach helps us work together effectively and create a supportive, connected environment for our team and clients alike. Enjoy benefits that take care of what matters At AIG, our people are our greatest asset. We know how important it is to protect and invest in what's most important to you. That is why we created our Total Rewards Program, a comprehensive benefits package that extends beyond time spent at work to offer benefits focused on your health, wellbeing and financial security-as well as your professional development-to bring peace of mind to you and your family. Reimagining insurance to make a bigger difference to the world American International Group, Inc. (AIG) is a global leader in commercial and personal insurance solutions; we are one of the world's most far-reaching property casualty networks. It is an exciting time to join us - across our operations, we are thinking in new and innovative ways to deliver ever-better solutions to our customers. At AIG, you can go further to support individuals, businesses, and communities, helping them to manage risk, respond to times of uncertainty and discover new potential. We invest in our largest asset, our people, through continuous learning and development, in a culture that celebrates everyone for who they are and what they want to become. Welcome to a culture of inclusion We're committed to creating a culture that truly respects and celebrates each other's talents, backgrounds, cultures, opinions and goals. We foster a culture of inclusion and belonging through learning, cultural awareness activities and Employee Resource Groups (ERGs). With global chapters, ERGs are a cornerstone for our culture of inclusion. The talent of our people is one of AIG's greatest assets, and we are honored that our drive for positive change has been recognized by numerous recent awards and accreditations. AIG provides equal opportunity to all qualified individuals regardless of race, color, religion, age, gender, gender expression, national origin, veteran status, disability or any other legally protected categories. AIG is committed to working with and providing reasonable accommodations to job applicants and employees with disabilities. If you believe you need a reasonable accommodation, please send an email to candidatecare@aig.com. Functional Area: DT - Data AIG PC Global Services, Inc.

Posted 30+ days ago

Heygen logo

Data Infrastructure Engineer

HeygenPalo Alto, CA
About HeyGen At HeyGen, our mission is to make visual storytelling accessible to all. Over the last decade, visual content has become the preferred method of information creation, consumption, and retention. But the ability to create such content, in particular videos, continues to be costly and challenging to scale. Our ambition is to build technology that equips more people with the power to reach, captivate, and inspire audiences. Learn more at www.heygen.com. Visit our Mission and Culture doc here. Position Summary: At HeyGen, we are at the forefront of developing applications powered by our cutting-edge AI research. As a Data Infrastructure Engineer, you will lead the development of fundamental data systems and infrastructure. These systems are essential for powering our innovative applications, including Avatar IV, Photo Avatar, Instant Avatar, Interactive Avatar, and Video Translation. Your role will be crucial in enhancing the efficiency and scalability of these systems, which are vital to HeyGen's success. Key Responsibilities: Design, build, and maintain the data infrastructure and systems needed to support our AI applications. Examples include Large scale data acquisition Multi-modal data processing framework and applications Storage and computation efficiency AI model evaluation and productionization infrastructure Collaborate with data scientists and machine learning engineers to understand their computational and data needs and provide efficient solutions. Stay up-to-date with the latest industry trends in data infrastructure technologies and advocate for best practices and continuous improvement. Assist in budget planning and management of cloud resources and other infrastructure expenses. Qualifications: Bachelor's or Master's degree in Computer Science, Engineering, or a related field Proven experience in managing infrastructure for large-scale AI or machine learning projects Excellent problem-solving skills and the ability to work independently or as part of a team. Proficiency in Python Experience optimizing computational workflows Familiarity with AI and machine learning frameworks like TensorFlow or PyTorch. Preferred Qualifications: Experience with GPU computing Experience with distributed data processing system Experience building large scale batch inference system Prior experience in a startup or fast-paced tech environment. What HeyGen Offers Competitive salary and benefits package. Dynamic and inclusive work environment. Opportunities for professional growth and advancement. Collaborative culture that values innovation and creativity. Access to the latest technologies and tools. HeyGen is an Equal Opportunity Employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.

Posted 30+ days ago

Infosys LTD logo

Data Scientist

Infosys LTDDenver, CO

$94,000 - $164,500 / year

Job Description Infosys is seeking a Data Scientist / Gen AI Lead Consultant with ZGenerative AI, Agentic AI, Machine Learning (ML), AI and Python experience. Ideal candidate is expected to have prior experience in end-to-end implementation of Gen AI and Agentic AI based solution, fine tuning large language models, Machine Learning models that includes identification of 'right' problem, designing 'optimum' solution, implementing using 'best in class' practices and deploying the models to production. Will work in alignment with data strategy at various clients, using multiple technologies and platforms. Required Qualifications: Bachelor's Degree or foreign equivalent will also consider three years of progressive experience in the specialty in lieu of every year of education. At least 7 years of Information Technology experience At least 4 years of hands-on GenAI / Agentic AI and data science with machine learning Strong proficiency in Python programming. Experience of deploying the Gen AI applications with one of the Agent Frameworks like Langgraph, Autogen, Crew AI. Experience in deploying the Gen AI stack/services provided by various platforms such as AWS, GCP, Azure, IBM Watson Experience in Generative AI and working with multiple Large Language Models and implementing Advanced RAG based solutions. Experience in processing/ingesting unstructured data from PDFs, HTML, Image files, audio to text etc. Experience with data gathering, data quality, system architecture, coding best practices Hands-on experience with Vector Databases (such as FAISS, Pinecone, Weaviate, or Azure AI Search). Experience with Lean / Agile development methodologies This position may require travel, will involve close co-ordination with offshore teams This position is located in Bridgewater, NJ; Sunnyvale, CA; Austin, TX; Raleigh, NC; Richardson, TX; Tempe, AZ; Phoenix, AZ; Charlotte, NC; Houston, TX; Denver, CO; Hartford, CT; New York, NY, Palm Beach, FL; Tampa, FL or Alpharetta, GA, or is willing to relocate. Candidates authorized to work for any employer in the United States without employer-based visa sponsorship are welcome to apply. Infosys is unable to provide immigration sponsorship for this role at this time Preferred Data Scientist Qualifications: 4 years of hands-on experience with more than one programming language; Python, R, Scala, Java, SQL Hands-on experience with CI/CD pipelines and DevOps tools like Jenkins, GitHub Actions, or Terraform. Proficiency in NoSQL and SQL databases (PostgreSQL, MongoDB, CosmosDB, DynamoDB). Deep Learning experience with CNNs, RNN, LSTMs and the latest research trends Experience in Python AI/ML frameworks such as TensorFlow, PyTorch, or LangChain. Strong understanding and experience of LLM fine-tuning, local deployment of open-source models Proficiency in building RESTful APIs using FastAPI, Flask, or Django. Experience in Model evaluation tools like DeepEval, FMeval, RAGAS , Bedrock model evaluation. Experience with perception (e.g. computer vision), time series data (e.g. text analysis) Big Data Experience strongly preferred, HDFS, Hive, Spark, Scala Data visualization tools such as Tableau, Query languages such as SQL, Hive Good applied statistics skills, such as distributions, statistical testing, regression, etc. The job entails sitting as well as working at a computer for extended periods of time. Should be able to communicate by telephone, email or face to face. Travel may be required as per the job requirements. The estimated annual compensation range for candidates in the below locations will be- Sunnyvale, CA; Bridgewater, NJ; New York, NY, Denver, CO: $94000 to $164500 Along with competitive pay, as a full-time Infosys employee, you are also eligible for the following benefits : Medical/Dental/Vision/Life Insurance Long-term/Short-term Disability Health and Dependent Care Reimbursement Accounts Insurance (Accident, Critical Illness, Hospital Indemnity, Legal) 401(k) plan and contributions dependent on salary level Paid holidays plus Paid Time Off

Posted 3 days ago

Nike, Inc. logo

Principal, Data Scientist, Nike Sport Research Lab

Nike, Inc.Beaverton, OR

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Job Description

The Nike Sport Research Lab (NSRL) is a multidisciplinary team of researchers, innovators, and scientists who lead with science to make athletes* measurably better. We deliver validated insights and innovative capabilities to drive the future of Nike products and services.

  • if you have body, you are an athlete

WHO YOU'LL WORK WITH

The Principal Data Scientist partners with research scientists in physiology, biomechanics, perception, and behavioral science, as well as other data scientists, engineers, product managers, designers, and solution architects. This role reports to the Director of Data Science and collaborates across dynamic, multi-functional teams to accelerate innovative product development. The team is recognized for its culture of curiosity, collaboration, and impact within Nike and the broader industry.

WHO WE ARE LOOKING FOR

Nike Sport Research Lab seeks a Principal Data Scientist who combines deep technical expertise with a passion for advancing human performance. The ideal candidate is a hands-on creative problem-solver, a collaborative leader, and a strategic thinker who thrives in multidisciplinary environments. This individual brings a proven track record of leveraging science and technology to drive innovation in sport science, product development, or related fields.

Required Qualifications:

  • PhD or Master's in Statistics, Computer Science, Electrical/Biomedical engineering, Economics, or related field, Will accept any suitable combination of education, experience and training.

  • 7-9+ years demonstrated experience in Data Science, including expertise in data synthesis, machine learning, statistical modeling, causal inference, or signal processing.

  • Demonstrated expertise with Python, and data analysis stacks (such as NumPy, SciPy, pandas, Spark, etc.)

  • Experience with AWS infrastructure, Spark, Databricks, and SQL.

  • Demonstrated practice of software engineering best practices within technical orgs (git for version control, structured code reviews, automated tests, CI/CD pipelines, and maintainable, reproducible build environments)

  • Proven ability to define, initiate, and supervise analytics and modeling efforts.

  • Strong track record of translating business needs into research requirements and strategy.

  • Ability to interpret and implement methods described in research papers and articles in signal processing, machine learning, deep learning, mathematical modeling, and related fields.

  • Excellent interpersonal and communication skills, with experience communicating technical information in both written and verbal formats.

Desired Qualifications:

  • Experience with experimental design and statistical inference, including adaptive experimentation, A/B testing, bandit optimization, and causal inference.

  • Proficiency in advanced machine learning methods, including classification, regression, deep learning, and computer vision algorithms.

  • Familiarity with time-series analysis, predictive modeling, and forecasting using large-scale, real-world datasets (e.g., sensor, image, or behavioral data).

  • Experience developing and deploying models that learn from expert input and emulate expert decision-making.

  • Understanding of, or working knowledge in, cardiovascular physiology, biomechanics, perception science, or related fields.

  • Experience with bio-signals, wearables, and inertial measurement technologies.

  • Peer-reviewed machine learning publications or other demonstrable contributions (e.g., GitHub, apps, products).

  • Experience leading or mentoring teams of data scientists and engineers in research or product settings.

  • Experience designing and delivering clear, impactful data visualizations for technical and non-technical audiences.

  • Experience building and maintaining robust data pipelines, ensuring data quality, integrity, and accessibility for analysis and modeling.

WHAT YOU'LL WORK ON

As Principal Data Scientist, you will play a pivotal role in advancing Nike's sport science capabilities through innovative data science and machine intelligence. You'll leverage your expertise to solve complex problems, drive impactful research, and deliver scalable solutions that power athlete and product innovation.

You will:

  • Apply expertise in signal processing, machine learning, sensor fusion, computer vision, and other areas of machine intelligence to solve complex problems using large, diverse datasets.

  • Develop and deploy predictive models in production environments to power personalized digital experiences for athletes and consumers.

  • Drive the development of large-scale experimentation capabilities and help identify causal factors influencing athletic performance and behavior.

  • Lead the creation, acquisition, and maintenance of high-quality datasets that enable ongoing exploration and unlock value for NSRL and partner organizations.

  • Investigate and evaluate new technologies, software, machine learning techniques, and capabilities to keep NSRL at the forefront of innovation.

  • Communicate technical information, methods, and findings clearly and concisely to technical and non-technical teams, partners, and senior management.

  • Create specifications and documentation for external professional services firms to achieve team objectives efficiently.

  • Stay connected with machine intelligence innovations across the industry and share insights with team members and partners throughout Nike.

We offer a number of accommodations to complete our interview process including screen readers, sign language interpreters, accessible and single location for in-person interviews, closed captioning, and other reasonable modifications as needed. If you discover, as you navigate our application process, that you need assistance or an accommodation due to a disability, please complete the Candidate Accommodation Request Form.

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