- Home
- »All Job Categories
- »Data Science Jobs
Auto-apply to these data science jobs
We've scanned millions of jobs. Simply select your favorites, and we can fill out the applications for you.
A
Arrive Logistics Chicago, IL
Who We Are Arrive Logistics is a leading transportation and technology company in North America, with plans to continue to significantly grow year over year. Our success is a testament to our remarkable team and what we are building together. We’re committed to providing employees with a meaningful work experience and have established an award-winning culture that supports personal and career development in a fun, casual, and collaborative environment. There has never been a more exciting time to get on board, so read on to learn more and apply today! Who We Want We're seeking an experienced and visionary Head of Data Science to join our technology leadership team. This is a pivotal role where you'll not only refine our data science strategy and spearhead innovation but also play a critical role in shaping our overall data strategy, influencing the future of our data infrastructure, and enhancing our data visualization capabilities for scalable growth. Arrive boasts an outstanding data foundation. The logistics industry is rich with market data, and we've built a proprietary platform for operations, instrumentation, and internal data collection. At Arrive, data-driven decisions, automation, and innovation are paramount. In this leadership role, you'll collaborate extensively with various teams across the technology group and the wider business. What You’ll Do Develop and champion strategic data initiatives that directly align with quarterly and annual business objectives. You'll coordinate product and feature launches, foster the growth of your team, and serve as a senior leader within the Technology organization, articulating our holistic vision, strategy, and roadmap. Build upon and evolve Arrive's data science function and strategy, positioning us at the forefront of the industry. Collaborate closely with stakeholders across the organization to identify and solve complex business challenges, leveraging data to uncover and exploit new opportunities. Lead the creation of sophisticated data models that drive strategic initiatives and are seamlessly integrated into our products, delivering daily insights and automation to thousands of users. Continuously seek new and impactful ways to utilize Arrive's vast data assets for the benefit of our customers, always ensuring end-user privacy and security. Partner with the Engineering team to define and optimize our data infrastructure, and work with the Solutions group to enhance data visualization and utilization. Serve as an integral part of the technology leadership team, collaborating closely with Product Management and Engineering to drive integrated solutions. Strategize and create cutting-edge models and capabilities in areas such as supply chain forecasting, pricing, NLP for automation, and people forecasting, making our vision of "empowering the ambitious" through software and data a reality. Lead Arrive's entire data science function. This includes understanding the needs of various teams, establishing an optimal team structure, and designing end-to-end workflows to best serve those needs. Take ownership of developing, estimating, and executing a data science roadmap, consistently measuring and testing for quantitative success and continuous improvements. Build, lead, manage, and mentor a high-performing team of skilled data scientists, empowering them to proactively lead iteration cycles with stakeholders and advance according to the team's vision and business goals. Actively gauge fluctuations in the needs of relevant teams across Arrive and strategically hire new team members to scale the function effectively. Maintain highly effective communication and responsiveness within your team and with stakeholders across the company, adeptly managing a large volume of ongoing projects. Collaboratively partner with Arrive's internal teams, customers, carriers, and the broader freight logistics technology ecosystem to ensure seamless operations and foster strong relationships. Possess the ability to consider long-term sustainability in all data science decisions, with a keen eye for scalability and maintainability, while balancing future ideals with short and medium-term needs. Exhibit strong communication skills, effectively championing the best ideas and advocating for your beliefs with integrity and respect. Qualifications 5+ years in data analytics and quantitative modeling as a hands-on technical contributor. 3-5 years of relevant industry experience is a MUST (freight brokerage, logistics, supply chain, B2B pricing. 5+ years of leadership/management experience, leading a team deeply embedded in multiple functions of the business. Excellent educational background in a quantitative field, such as Operations Research, Economics/Econometrics, Forecast/Planning, Data Science/Machine Learning. Proficiency in SQL, Python, R, Spark, and familiarity with code and programming concepts. Experience with big data architectures, data modeling, ETL, and building large-scale data processing pipelines. Knowledge of deep learning, optimization, casual interference, and Agile methodologies. Excellent ability to translate complex technical concepts to non-technical audiences and vice-versa. A strategic, hands-on leader who simplifies complex problems and balances long-term vision with short-term needs. Proactive, self-starting, collaborative, and driven to personally own and complete critical initiatives. Supervisory Responsibility This position will supervise a team of Data Scientists within the Technology organization The Perks of Working With Us Take advantage of excellent benefits, including medical, dental, vision, life, and disability coverage. Invest in your future with our matching 401(k) program. Build relationships and take part in learning opportunities through our Employee Resource Groups. Enjoy office wide engagement activities, team events, happy hours and more! Leave the suit and tie at home; our dress code is casual. Work in the heart of downtown Chicago, IL! There are CTA and L train stops walking distance from the office and you can store your bike safely inside of the building. Sweat it out at the LifeStart gym in our office building that includes brand new Peloton bikes, top-of-the-line equipment and personal training options. Maximize your wellness with free counseling sessions through our Employee Assistance Program Get paid to work with your friends through our Referral Program! Take time to manage your physical and mental health - we offer company paid holidays, paid vacation time and wellness days. Receive 100% paid parental leave when you become a new parent. Get relocation assistance! If you are not local to the area, we offer relocation packages. The base salary range for this position is $200K - $300K, plus bonus and benefits. The range displayed on each job posting reflects the pay range for the position across all locations. Within the range, individual pay is determined based on work location, job-related skills, experience, relevant education or training. Your Arrive Experience When we say “award-winning culture,” we mean it. We’ve been recognized as a top workplace by Inc. Fast Company, Fortune, and earned Top Workplaces and Great Place to Work, to name a few. We intend on topping many more of those lists in the years to come, but we’re not in it for the trophies. We’re committed to culture because it keeps us connected to each other and invested in our shared success while having a blast along the way. Our employee-founded resource groups create communities within Arrive’s walls, including Women in Logistics, Emerging Professionals, Prisms, Black Logistics Group, Salute and Unidos. Notice: To ensure a safe and transparent interview process, we want to note that Arrive Logistics adheres to strict recruitment practices. Candidates undergo an interview process, and Arrive Logistics does not provide unsolicited job offers. If you have concerns about receiving a fraudulent offer, please contact talentacquisition@arrivelogistics.com for verification.
Posted 2 weeks ago
SanofiFramingham, MA
Job Title: Winter/Spring 2026 Co-op-Intern- Process Modeling- Data Science- MSAT Grade: Co-op Intern LL Hiring Manager: Yves Riou Location: Cambridge, MA About the Job We deliver 4.3 billion healthcare solutions to people every year, thanks to the flawless planning and meticulous eye for detail of our Manufacturing & Supply teams. With your talent and ambition, we can do even more to protect people from infectious diseases and bring hope to patients and their families. MSAT Process Data Science & Digital Transformation (MSAT DSD) is a transversal team within the Global MSAT organization. MSAT DSD is the data/digital DNA within the processes allowing us to ensure best in class manufacturing & analytical processes, especially by focusing on data/digital innovations & excellence, aiming to guarantee acceleration and securing launches & improvement as well as sustainability for our current processes. This position will fall within the DSD Mechanistic Modeling & Process Control team. The group develops and implements advanced process modeling and technologies (e.g. CFD, Digital twins, PAT) to enable Sanofi to better understand, monitor, and control the manufacturing operations, and deliver innovative, robust, and cost-effective next-generation processes. The group is highly cross functional in its interactions across R&D and manufacturing, and provides scientific, technical, process engineering expertise to these organizations. We are seeking a motivated and technically skilled co-op/intern to join our DSD Mechanistic Modeling & Process Control to support advanced modeling and harmonization initiatives in process development. This role offers a unique opportunity to gain hands-on experience in Computational Fluid Dynamics (CFD) using M-Star and/or ANSYS Fluent, contribute to standardization and harmonization efforts, and support mechanistic and Process Analytical Technology (PAT) modeling across multiple projects. We are an innovative global healthcare company with one purpose: to chase the miracles of science to improve people's lives. We're also a company where you can flourish and grow your career, with countless opportunities to explore, make connections with people, and stretch the limits of what you thought was possible. Ready to get started? Main Responsibilities: Assist with the setup, execution, and analysis of simulations using Computational Fluid Dynamics (CFD) and related modeling tools. Contribute to harmonization and standardization activities, including documentation, tool development, and best practice consolidation across modeling workflows. Support mechanistic modeling initiatives for bioprocessing or pharmaceutical unit operations, including model calibration, validation, and sensitivity analysis. Collaborate on PAT modeling activities, including data integration, model development, and deployment to support real-time monitoring and control strategies. Document and present findings to cross-functional teams in a clear and concise manner. About You Must be permanently authorized to work in the U.S. and not require sponsorship of an employment visa (e.g., H-1B or green card) at the time of application or in the future. Students currently on CPT, OPT, or STEM OPT usually require future sponsorship for long term employment and do not meet the requirements for this program unless eligible for an alternative long-term status that does not require company sponsorship Basic Qualifications: Currently enrolled and pursuing a bachelor's, degree, master's degree, or PhD degree in Mechanical Engineering, Chemical Engineering, Process Engineering, Biomedical Engineering, or a closely related technical field with exposure to modeling and simulation at an accredited college or university with the expectation that you will complete your current degree by the Spring of 2028 40hrs/week, Monday-Friday, for the full duration of the co-op/internship Programming/scripting experience (e.g., Python, MATLAB, or similar) for data analysis and model development. Experience working with data visualization tools or dashboards. Basic understanding of mechanistic modeling in the context of chemical/biochemical processes. Solid understanding of transport phenomena, fluid dynamics, and mixing principles. Familiarity with Computational Fluid Dynamics (CFD) tools-M-Star CFD, ANSYS Fluent, Star-CCM+, OpenFOAM or similar tools. Strong analytical, communication, and organizational skills. Self-motivated, detail-oriented, and able to work independently and in a team environment. Basic understanding of mechanistic modeling in the context of chemical/biochemical processes. Preferred Qualifications: Exposure to process monitoring & control concepts, PAT, RAMAN, NIR, SIMCA is a plus. Exposure to heat transfer and thermodynamics concepts & modeling tools is a plus. Exposure to statistical analysis concepts is a plus. Familiarity with bioprocesses or pharmaceutical unit operations. Experience working with data visualization tools or dashboards. Familiarity with CFD tools-preferably M-Star; experience with ANSYS Fluent is a plus. Solid understanding of transport phenomena, fluid dynamics, and mixing principles. Strong analytical, communication, and organizational skills. Self-motivated, detail-oriented, and able to work independently and in a team environment. Why Choose Us: Bring the miracles of science to life alongside a supportive, future-focused team. Discover endless opportunities to grow your talent and drive your career, whether it's through a promotion or lateral move, at home or internationally. Enjoy a thoughtful, well-crafted rewards package that recognizes your contribution and amplifies your impact. Exposure to cutting-edge technologies and research methodologies. Networking opportunities within Sanofi and the broader biotech community. Sanofi Inc. and its U.S. affiliates are Equal Opportunity and Affirmative Action employers committed to a culturally diverse workforce. All qualified applicants will receive consideration for employment without regard to race; color; creed; religion; national origin; age; ancestry; nationality; marital, domestic partnership or civil union status; sex, gender, gender identity or expression; affectional or sexual orientation; disability; veteran or military status or liability for military status; domestic violence victim status; atypical cellular or blood trait; genetic information (including the refusal to submit to genetic testing) or any other characteristic protected by law. Pursue progress, discover extraordinary Better is out there. Better medications, better outcomes, better science. But progress doesn't happen without people - people from different backgrounds, in different locations, doing different roles, all united by one thing: a desire to make miracles happen. So, let's be those people. At Sanofi, we provide equal opportunities to all regardless of race, colour, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, ability or gender identity. Watch our ALL IN video and check out our Diversity Equity and Inclusion actions at sanofi.com! US and Puerto Rico Residents Only Sanofi Inc. and its U.S. affiliates are Equal Opportunity and Affirmative Action employers committed to a culturally inclusive and diverse workforce. All qualified applicants will receive consideration for employment without regard to race; color; creed; religion; national origin; age; ancestry; nationality; natural or protective hairstyles; marital, domestic partnership or civil union status; sex, gender, gender identity or expression; affectional or sexual orientation; disability; veteran or military status or liability for military status; domestic violence victim status; atypical cellular or blood trait; genetic information (including the refusal to submit to genetic testing) or any other characteristic protected by law.
Posted 3 weeks ago
C
Carrier CorporationGeorgia, AL
Carrier Global Corporation, a global leader in intelligent climate and energy solutions, is committed to creating solutions that matter for people and our planet for generations to come. From the beginning, we've led in inventing new technologies and entirely new industries. Today, we continue to lead because we have a world-class, diverse workforce that puts the customer at the center of everything we do. For more information, visit corporate.carrier.com or follow Carrier on social media at @Carrier. Role Purpose: The successful candidate will have ownership of driving critical initiatives for AI products, interfacing with our leadership team to align on priorities, while providing guidance to the internal teams on AI strategy and delivery. Additionally, the candidate will deliver end-to-end AI solutions that will scale and empower our users to deliver on Carriers goals and mission. Ideal Candidate will be within a commutable distance of Carrier's office in Palm Beach Gardens, FL or Carrier's office in Atlanta, GA. Role Responsibilities: Define, develop, and maintain the product roadmap for AI-driven products in alignment with business goals. Collaborate with stakeholders to gather requirements, define use cases, and prioritize features to maximize value. Act as a liaison between business and technical teams, translating business needs into AI solutions. Work closely with data engineers, data scientists, and AI developers to ensure accurate implementation of AI solutions. Drive the integration of AI solutions into business processes, ensuring scalability and reliability. Monitor and evaluate product performance using KPIs, user feedback, and business impact metrics. Own the backlog for AI-related products, ensuring that user stories are well-defined, prioritized, and executed efficiently. Basic Qualifications: Bachelors degree 7+ years of experience in AI, machine learning, data, statistics, and/or analytics delivery roles. 3+ years SQL experience Preferred Qualifications: Experience working with cloud-based AI platforms such as AWS, Google Cloud, or Azure. Proficiency in AI frameworks and tools (e.g., TensorFlow, PyTorch) and SQL. Experience at large companies with complex data landscapes and scale. Experience delivering scalable AI solutions, from ideation to deployment. Experience leading teams and managing individual contributors. Strong background in enterprise AI and technology principles and best practices. #LI-Onsite RSRCAR Carrier 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, age, disability or veteran status, or any other applicable state or federal protected class. Carrier provides affirmative action in employment for qualified Individuals with a Disability and Protected Veterans in compliance with Section 503 of the Rehabilitation Act and the Vietnam Era Veterans' Readjustment Assistance Act. Job Applicant's Privacy Notice: Click on this link to read the Job Applicant's Privacy Notice
Posted 2 weeks ago
MachinifyPalo Alto, California
Machinify is the leading provider of AI-powered software products that transform healthcare claims and payment operations. Each year, the healthcare industry generates over $200B in claims mispayments, creating incredible waste, friction and frustration for all participants: patients, providers, and especially payers. Machinify’s revolutionary AI-platform has enabled the company to develop and deploy, at light speed, industry-specific products that increase the speed and accuracy of claims processing by orders of magnitude. We are seeking a Director of Data Science. This role will be responsible for the overall leadership and management of the data science team at Machinify, and requires a deep technical background, strong leadership skills, and the ability to drive innovation and excellence in a fast-paced environment. Reporting to the Chief Data Scientist, the Director of Data Science will collaborate closely with other leaders to align engineering efforts with the company's strategic goals. What you will do: Provide direction and guidance to a team of Senior and Staff Data Scientists, enabling them to do their best work Collaborate with the leadership team to define key technical and business metrics and objectives Translate objectives into internal team priorities and assignments Drive sprints and work with cross-functional stakeholders to appropriately prioritize various initiatives to improve customer metrics Hire, mentor and develop team members Foster a culture of innovation, collaboration, and continuous improvement Communicate technical concepts and strategies to technical and non-technical stakeholders effectively Own the success of various models on the field by continuously monitoring KPI’s and initiating projects to improve quality. What you bring: Degree in Computer Science, Engineering, or a related field 10+ years of data science experience, with at least 5 years in a leadership role, including a leadership role at a start-up. Proven track record of managing data teams and delivering complex, high-impact products from concept to deployment Strong knowledge of data privacy regulations and best practices in data security Exceptional team management abilities, with experience in building and leading high-performing teams Ability to think strategically and execute methodically Ability to drive change and inspire a distributed team Strong problem-solving skills and a data-driven mindset Ability to communicate effectively, collaborating with diverse groups to solve complex problems You embrace challenges with optimism and a balanced, and bring a business-oriented approach to product development You prioritize customer impact, ensuring your work significantly advances our product value What we offer: A flexible and trusting environment where you'll feel empowered to do your best work. Work from anywhere in the US! Our team is distributed and most of us work from home. Hardworking and supportive colleagues, and a leadership team that understands the importance of recruiting and retaining top talent. Incredible medical, vision, and dental benefits for employees & their families. Competitive salary and equity, 401(k) sponsorship. Equal Employment Opportunity at Machinify Machinify is committed to hiring talented and qualified individuals with diverse backgrounds for all of its positions. Machinify believes that the gathering and celebration of unique backgrounds, qualities, and cultures enriches the workplace.
Posted 2 weeks ago
JobgetherPalo Alto, CA
This position is posted by Jobgether on behalf of SandboxAQ . We are currently looking for a Head of Data Science/ML – AQMed in Palo Alto, CA . This leadership role offers the opportunity to shape the future of medical diagnostics by spearheading AI-powered innovations that directly impact patient outcomes. As the Head of Data Science/ML, you will lead the development of user-centric, scalable data products derived from proprietary sensing technologies. You'll work cross-functionally with Product and Engineering to drive strategic initiatives and bring transformative medical tools to market. This is a hands-on leadership position for a results-driven professional with a passion for healthcare innovation and real-world impact. Accountabilities: Collaborate with Product and Engineering to define and execute the data product vision and roadmap, incorporating ML capabilities where beneficial. Lead the Data Science/ML team in designing, developing, and scaling data products that convert clinical signals into actionable insights. Translate user needs, clinical feedback, and business objectives into clear technical requirements and prototypes through iterative development. Establish and track OKRs for the DS/ML function, ensuring timely delivery, scalability, and performance of solutions in production environments. Balance fast-paced execution with high standards in research, keeping up with cutting-edge ML techniques and their real-world applicability. Serve as a key representative of the organization to clinical, regulatory, and industry partners; elevate the team’s profile through publications, conferences, and external collaborations. Mentor and grow a high-performing, multidisciplinary data science team while fostering a culture of innovation and collaboration. Requirements 10+ years of experience in engineering and product leadership roles, including hands-on development and managing technical teams. Advanced degree (MS/PhD) in engineering, computer science, AI/ML, mathematics, or a related field. Proven success delivering AI-driven medical software or data products from concept to commercialization (stages 0-4+). Strong ability to communicate technical strategies and outcomes at the executive level and across cross-functional teams. Demonstrated success in leading multidisciplinary teams with a user-first approach, balancing clinical needs, business goals, and technical feasibility. Action-oriented mindset, capable of driving innovation while navigating time-sensitive product development cycles. Willingness and ability to work onsite at the Palo Alto office at least 50% of the time. Nice to Have : Experience in cardiovascular devices or deep knowledge of cardiac electrophysiology. Familiarity with regulatory and quality standards in medical device development. Benefits Competitive base salary between $204,000 – $286,000 annually, based on experience and qualifications. Annual discretionary bonuses and potential equity options. Comprehensive health coverage (medical, dental, vision). Paid time off including summer/winter breaks and generous leave policies. 401(k) plans and financial wellness resources. Fertility and family planning benefits. Opportunities for continuous learning and professional development. A collaborative, inclusive, and mission-driven culture at the forefront of AI and healthcare innovation. Jobgether is a Talent Matching Platform that partners with companies worldwide to efficiently connect top talent with the right opportunities through AI-driven job matching. When you apply, your profile goes through our AI-powered screening process designed to identify top talent efficiently and fairly. 🔍 Our AI evaluates your CV and LinkedIn profile thoroughly, analyzing your skills, experience, and achievements. 📊 It compares your profile to the job’s core requirements and past success factors to determine your match score. 🎯 Based on this analysis, we automatically shortlist the 3 candidates with the highest match to the role. 🧠 When necessary, our human team may perform an additional manual review to ensure no strong profile is missed. The process is transparent, skills-based, and free of bias — focusing solely on your fit for the role. Once the shortlist is completed, we share it directly with the company that owns the job opening. The final decision and next steps (such as interviews or additional assessments) are then made by their internal hiring team. Thank you for your interest! #LI-CL1
Posted 4 weeks ago
T
Two95 International Inc.Los Angeles, CA
Job Title : Data Science Lead Location : Los Angeles, CA Type : 3 + Months Rate : $Open (Best Possible) Core Requirements Bachelor’s degree in Computer Science or related field preferred. 7+ years of professional experience A focus on hardware is going to be key. Experience in GPU programming models, such as OpenCL or CUDA. Experience with cross platform model compilers like ngraph, XLA, TensorRT, etc. Systems-level experience with Linux Operating System. Previous experience leading assessments or evaluations (proof-of-concept type work). Strong communication skills are required as there is heavy client engagement on a day-day basis. Note: If interested please send your updated resume and include your rate/Salary requirement along with your contact details with a suitable time when we can reach you. If you know of anyone in your sphere of contacts, who would be a perfect match for this job then, we would appreciate if you can forward this posting to them with a copy to us. We look forward to hearing from you at the earliest!
Posted 30+ days ago
Tiger AnalyticsSan Francisco, CA
Tiger Analytics is an advanced analytics consulting firm. We are the trusted analytics partner for several Fortune 100 companies, enabling them to generate business value from data. Our consultants bring deep expertise in Data Science, Machine Learning and AI. Our business value and leadership has been recognized by various market research firms, including Forrester and Gartner. We are also market leaders in AI and analytics consulting in the CPG and retail industry, with over 40% of our revenues coming from this sector. This is our fastest-growing sector, and we are expanding our talent in this space. We are seeking an individual with a strong combination of business consulting skills and a background in data analytics to join our team. Responsibilities: Work on the latest applications of data science to solve business problems in the space of Retail. Work directly with client stakeholders to translate business problems into high-level analytics solution designs. Present analytic solutions to business audiences, highlighting the robustness of the solution and how it could help generate business value. Responsible for managing analytics projects, collaborating with client stakeholders and Tiger’s team situated globally. Participate in discussions with team members to select and apply relevant analytic techniques and create actionable business insights. Responsible for making presentations to senior management, communicating results to business teams, and developing plans to help operationalize analytic solutions. Requirements 12-17 years of professional work experience with at least 7 years in data analytics Ability to engage with executive/VP-level stakeholders from the client’s team to translate business problems to a high-level analytics solution approach. Strong project management and team management skills, and the ability to work with global teams. Solid understanding of statistical and machine learning algorithms is a plus. Strong SQL skills and hands-on experience with analytic tools like R & Python; & visualization tools like Qlik or Tableau is a plus. Exposure to cloud platforms and big data systems such as Hadoop HDFS, Hive is a plus. Ability to work with IT and Data Engineering teams to help embed analytic outputs in business processes. Graduate in Business Analytics or MBA or equivalent work experience. Benefits Significant career development opportunities exist as the company grows. The position offers a unique opportunity to be part of a small, fast-growing, challenging and entrepreneurial environment, with a high degree of individual responsibility.
Posted 3 weeks ago
CytokineticsRadnor, Pennsylvania
Cytokinetics is a late-stage, specialty cardiovascular biopharmaceutical company focused on discovering, developing and commercializing first-in-class muscle activators and next-in-class muscle inhibitors as potential treatments for debilitating diseases in which cardiac muscle performance is compromised. As a leader in muscle biology and the mechanics of muscle performance, the company is developing small molecule drug candidates specifically engineered to impact myocardial muscle function and contractility. As the Director, Global Supply Chain & Analytics, you will be responsible for assisting the Supply Chain Organization and its leaders in making data-driven decisions and optimizing supply chain operations within the pharmaceutical industry. This individual will leverage advanced analytics, AI, and industry knowledge to enhance the efficiency, effectiveness, and resilience of the global pharmaceutical supply chain. This role will involve working closely with cross-functional teams, including procurement, logistics, manufacturing, and quality assurance, to improve forecasting, inventory management, and overall supply chain performance. Key Responsibilities 1. Analytics Strategy & Supply Chain Optimization Lead the development and implementation of analytics strategies to optimize supply chain & technical operations processes in the pharmaceutical industry. Provide strategic insights that help the organization streamline operations, reduce costs, and improve the flow of materials from manufacturing to distribution. Analyze large datasets from various sources (inventory management systems, production data, distribution networks) to uncover inefficiencies and bottlenecks in the supply chain. Support and enable the development of KPIs in collaboration with business and functional leaders to measure efficiency, cost-effectiveness, and risk management within the pharmaceutical supply chain. 2. Data Integrity, Governance & Security Ensure data integrity, governance, and security within supply chain analytics platforms. Lead the integration and implementation of advanced analytics tools, systems, and platforms to streamline supply chain operations. Lead Master Data Management Program for Supply Chain 3. Advanced Analytics & Predictive Modeling Develop and deploy predictive and prescriptive models to improve demand forecasting, inventory management, production scheduling, and distribution planning. Implement and utilize advanced analytics techniques such as machine learning, statistical modeling, simulation, and optimization to enhance decision-making and operational performance. Develop and enhance forecasting models to predict demand and supply fluctuations, ensuring timely availability of pharmaceutical products while minimizing excess inventory. 4. Risk Management & External Analysis Analyze external factors such as market trends, regulatory changes, and supply disruptions to inform proactive risk management strategies. Lead initiatives to monitor and mitigate risks related to supply chain disruptions, ensuring continuity of supply for critical products. 5. AI & Technology Adoption Drive AI adoption in supply chain and operations, including deployment and best practices. Look for opportunities to turn business needs into AI solutions and explain them clearly to non-technical stakeholders. Oversee AI supply chain projects from start to finish, ensuring successful implementation and optimization. 6. Project Management & Innovation Knowledge of project management methodologies (e.g., Agile, Scrum) and the ability to manage both long-term strategies and short-term tactical improvements. Stay abreast of industry trends, emerging technologies, and regulatory developments impacting the pharmaceutical supply chain, and drive innovation initiatives to capitalize on opportunities for process optimization and differentiation. Qualifications Bachelor’s degree in Supply Chain Management, Operations, Data Science, Engineering, Business, or a related field. Master Data Management Expertise Master’s degree or MBA preferred, with additional certifications in supply chain or data analytics (e.g., APICS, Six Sigma, PMP). Minimum 10+ years of experience in supply chain analytics, data science, or operations, with at least 3 years in the pharmaceutical or healthcare sector. Proven experience in leading analytics-driven projects that improve supply chain performance. Experience working with supply chain management software and ERP systems (e.g., SAP, Oracle, or similar). Familiarity with pharmaceutical supply chain regulations and industry best practices. Proven leadership abilities, with a demonstrated ability to inspire and motivate teams, foster a culture of collaboration and innovation, and drive results in a dynamic and fast-paced environment. Our passion is anchored in robust scientific thinking, grounded in integrity and critical thinking. We keep the patient front and center in all we do –all actions and decisions are in service of the patient and their caregivers. We champion integrity, ethics, doing the right thing, and being our best selves. Pay Range: Our employees come from different backgrounds, and we celebrate those differences. We are looking for the best candidates for our open roles, but do not expect applicants to meet every qualification in order to be considered. If you are excited about what you could accomplish at Cytokinetics and believe you can add value to our team, we would love to hear from you. Please review our General Data Protection Regulation (GDPR) policy PRIOR to applying. Our passion is anchored in robust scientific thinking, grounded in integrity and critical thinking. We keep the patient front and center in all we do – all actions and decisions are in service of the patient and their caregivers. We champion integrity, ethics, doing the right thing, and being our best selves. Fraud Warning: How to Identify Impersonated Cytokinetics Job Postings and Offers Recently, there have been fraudulent employment offers being sent to candidates on behalf of Cytokinetics. Please be advised that all legitimate offers from Cytokinetics will come directly from our official email domain (Cytokinetics.com) and will only be made after completing a formal interview process. Here are some ways to check for authenticity: We do not conduct job interviews through non-standard text messaging applications We will never request personal information such as banking details until after an official offer has been accepted and verified We will never request that you purchase equipment or other items when interviewing or hiring If you are unsure about the authenticity of an offer, or if you receive any suspicious communication, please contact us directly at talentacquisition@cytokinetics.com Please visit our website at: www.cytokinetics.com Cytokinetics is an Equal Opportunity Employer
Posted 5 days ago
Caris Life SciencesBoston, Massachusetts
At Caris, we understand that cancer is an ugly word—a word no one wants to hear, but one that connects us all. That’s why we’re not just transforming cancer care—we’re changing lives. We introduced precision medicine to the world and built an industry around the idea that every patient deserves answers as unique as their DNA. Backed by cutting-edge molecular science and AI, we ask ourselves every day: “What would I do if this patient were my mom?” That question drives everything we do. But our mission doesn’t stop with cancer. We're pushing the frontiers of medicine and leading a revolution in healthcare—driven by innovation, compassion, and purpose. Join us in our mission to improve the human condition across multiple diseases. If you're passionate about meaningful work and want to be part of something bigger than yourself, Caris is where your impact begins. Position Summary We are seeking a Staff Scientist to join the Data Science unit at our Cambridge, MA office to develop our core Caris data products. This role calls for a technical expert excelling at both (i) hands-on work with real-world clinico-molecular data and (ii) communicating and educating internal and external partners. Caris has collected an extensive multimodal clinico-molecular dataset with immense potential to impact cancer precision medicine – ranging from early target discovery efforts, through clinical trial design, as well as impacting patient care today. The scientist will work on a team with deep expertise in computational biology, data science, genomics, and pharma/biotech partnerships – with the unified goal of deriving maximal value from Caris’ data for external and internal research efforts to advance cancer care. Job Responsibilities Apply bioinformatics, data science, molecular biology, and computer science expertise to drive projects developing and refining Caris’ clinico-molecular data products for use by both external partners and internal Caris R&D. Communicate with external and internal partners on strategy as well as technical details of Caris data products. Educate partners on the use of Caris data products. Drive innovation by staying abreast of emerging data science tools, techniques, and best practices, and strategically incorporating them into our data products and workflows. Collaborate with research, clinical, and bioinformatics scientists to execute projects that translate scientific and clinical questions into analytical workflows, and exercise skill in delivering accurate data processing, quality control, and statistical analysis. Act as a subject matter expert on data science, collaborating with internal stakeholders, external partners, and customers to provide technical expertise, foster collaborations, and contribute to the development of joint research projects. Required Qualifications Education: PhD in computational biology, bioinformatics, genomics, or related quantitative fields. Experience: At least five years post-PhD work experience Strong technical competency: Deep experience analyzing and deriving insight from standard genomic data types (e.g., gene expression, whole exomes). Strong programming skills (python required) and experience working collaboratively on software development. Strong attention to detail and drive for scientific and technical rigor. Strong communication skills: A primary responsibility of this role is external communication at both general and specialist levels. The ability to clearly present nuanced technical material to a variety of stakeholders is critical. Experience working with large datasets (e.g., hundreds, or thousands of bams). Enthusiasm for working in a highly collaborative environment. Strong problem-solving and analytical skills. Proven ability to manage time effectively, respond quickly to changing priorities, and adapt within a fast-paced environment. Proficient in Microsoft Office Suite, specifically Word, Excel, Outlook, and general working knowledge of Internet for business use. Preferred Qualifications Experience working in an industry setting. Experience working with real-world datasets. Domain experience in oncology or immunology. Experience working in cloud (preferred) or high-performance compute (HPC) clusters. Physical Demands Will work at computer most of the time Training All job specific, safety, and compliance training are assigned based on the job functions associated with this employee. Other This position requires only rare travel and some evenings, weekends and/or holidays. Conditions of Employment: Individual must successfully complete pre-employment process, which includes criminal background check, drug screening, credit check ( applicable for certain positions ) and reference verification. This job description reflects management’s assignment of essential functions. Nothing in this job description restricts management’s right to assign or reassign duties and responsibilities to this job at any time. Caris Life Sciences is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, religion, color, national origin, gender, gender identity, sexual orientation, age, status as a protected veteran, among other things, or status as a qualified individual with disability.
Posted 30+ days ago
Horizon MediaNew York, New York
Job Description Who We Are: Night Market’s, the commerce affiliate of Horizon Media, is a technology driven organization that helps advertisers gain a better understanding of the changing eCommerce landscape and ignite innovation around ways to plan, manage, and optimize eCommerce media, providing data-driven insights that inform brands’ entire eCommerce strategy to drive desired business outcomes. Our end-to-end optimization platform, NEON , uses an ensemble of advanced models to provide macro (budget rebalancing across channel-tactic level) and micro (in-tactic detailed maximization using proprietary methods) optimizations to holistically improve performance. This fulltime opportunity is for a talented data scientist to work on client-related services in the area of creative experience analytics, eventually transitioning these capabilities into the NEON product. Job Summary: Prior experience working at a marketing agency and/or a consulting firm on a marketing data science, advanced analytics development, and/or user behavior or engagement team is required. Role will require editing and creation of smart models for client deliverables and within the NEON platform. In this role, the candidate will work with other Commerce Experience (CX) and NEON team members across client success, engineering, product, and data engineering. Role will require hands-on programming skills. The projects this position will work on include (but are not limited to) a range of creative artificial intelligence (AI) use cases such as: creative trend projection, multivariate creative and A/B testing, creative copy optimization, conversion rate optimization, creative asset management/versioning, image/video classification and object detection, custom audience segmentation, predictive scoring using categorical or labelled datasets, and targeting strategies. This level of the position and the rate for this position will be commensurate with experience. What You’ll Do / Responsibilities Create and elevate current analytics methodology, build a replicable statistical framework, within the constructs of a composable analytics framework and the NEON platform Model outputs and inputs, working with the Data Engineering team to assure data processes are automated and efficient Work alongside product leads, business leads, data scientists, data engineers, front-end developers, and designers Incorporate multiple 3rd party APIs & other datasets from different sources, into one (or more) custom-developed measurement and display systems. Demonstrated ability to extract business insights from large datasets and use them to drive business change Mine, aggregate and analyze data from databases to drive optimization and improvement Familiarity of a variety of machine learning techniques (clustering, decision tree learning, artificial neural networks, computer vision techniques, etc.) and their real-world advantages/drawbacks. Knowledge of advanced statistical techniques and concepts (regression, properties of distributions, statistical tests and proper usage, etc.) and experience with applications. Help build and validate requirements and use cases between the core NEON team and the CX team. Evaluate external AI solutions for their modeling and predictive strength, that may be pertinent to the CX use cases to complement NEON featureset in addition to ones being built in the ensemble of models. Who You Are: At least 7 years experience in Machine Learning client analytics role Experience in working with client services teams and communicating technical findings directly with client technical team members. Domain expertise in the area of creative analytics and creative and/or conversion rate optimization strategies Deep expertise in Python (and libraries), R, SQL Ability to operate in Snowflake, AWS infrastructure of S3/EC2, etc Proven experience to interact in a collaborative fashion with Product Management from analytic conceptualization, through hands on exploratory data analysis (EDA), piloting and production rollout within performant backend APIs Independently motivated to conceptualize and execute proactive client analysis Existing skill sets in machine learning, computer vision and product development Communication skills and an ability to collaborate with clients Hold an undergraduate degree in math, statistics, computer science or other technical degree Superb problem synthesis and communication skills Keen attention to detail and data integrity The statements herein are intended to describe the general nature and level of work being performed by employees and are not to be construed as an exhaustive list of responsibilities, duties and skills required of personnel so classified. Furthermore, they do not establish a contract for employment and are subject to change at the discretion of the employer. #LI-HYBRID #LI-KG1 #HMNM Horizon Media is proud to be an equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. Salary Range $170,000.00 - $200,000.00 A successful applicant’s actual base salary may vary based on factors such as individual’s skill sets, experience, training, education, licensure/certifications, and qualifications for the role. As an organization, we take an aptitude and competency-based hiring approach. We provide a competitive total rewards package including a discretionary bonus and a variety of benefits including health insurance coverage, life and disability insurance, retirement savings plans, company paid holidays and unlimited paid time off (PTO), mental health and wellness resources, pet insurance, childcare resources, identity theft insurance, fertility assistance programs, and fitness reimbursement.
Posted 30+ days ago
Galileo Global EducationLyon, MS
FACULTY POSITION emlyon business school invites applications for a full-time faculty position in Data science, open at the Associate Professor level, to begin in September 2026. We are looking to recruit either: A candidate with a strong academic research profile, capable of publishing in top-tier journals and contributing to the school's international research visibility; or A candidate with a strong pedagogical profile, experienced in action learning, experiential education, and real-world project-based teaching; or A hybrid profile, demonstrating excellence in both dimensions. This position is part of emlyon's broader strategic ambition to combine academic excellence with impactful, hands-on learning that is deeply connected to the business world and societal challenges. YOUR ROLE AT EMLYON The selected candidate will join the Department (*) of ODAI and the QUANT Research Centre ( https://aim.em-lyon.com/quant/ ), contributing to: Cutting-edge research in their area of expertise; The development and delivery of innovative, action-based learning experiences, closely tied to the professional ecosystem (corporates, startups, NGOs, etc.). Teaching responsibilities include undergraduate (BBA), graduate (Programme Grande École), and master's level programs. Most courses will be taught on the Lyon campus, with possible sessions on other emlyon campuses in France or internationally. Teaching topics are focused on Applied mathematics and statistics, Data science approaches, tools and methods, including data visualization. CANDIDATE PROFILES - We Are Open to Different Strengths We are open to diverse academic trajectories, and encourage applications from candidates who correspond to one of the following: Research-Focused Profile Ph.D. in data science, statistics or a related discipline Proven publication record (or high potential) in top-tier journals (e.g., FT list) Ability to supervise doctoral students and collaborate on funded research projects Interest in pedagogical innovation and contribution to program development Teaching-Oriented Profile Experience in project-based pedagogy, live business cases, corporate challenges, or learning-by-doing models Strong connections with business or institutional partners Ability to design and coordinate courses with a high level of engagement and applied learning Willingness to contribute to the strategic positioning of action learning within the school Hybrid Profile Balanced expertise in both research and pedagogical innovation Ability to create synergies between research, teaching, and practice Interest in making academic knowledge actionable in the classroom and beyond Additional Requirements Desire to work in a collaborative, international environment Capacity for institutional service (program management, curriculum design, external representation) Fluency in English required; knowledge of French is a plus but not mandatory Willingness to relocate to Lyon or surrounding area (relocation support provided) The candidate will be expected to contribute to and will be regularly evaluated based on three areas of activities: (1) research performance, (2) teaching and student supervision, and (3) institutional service (e.g., administration, service in committees, representation of the school in the media and events). We strongly encourage people of all backgrounds (gender, ethnic background, nationality) to apply. Fluency and teaching experience in English is required. French skills are a plus. The selected candidate is expected to be based in Lyon or nearby area. emlyon has set-up a relocation policy to support the moving process. Salary and conditions are competitive and will be commensurate with qualifications and experience. THE SCHOOL Founded in 1872, emlyon business school is one of the oldest business schools in Europe. It belongs to the top 1% of business schools worldwide recognized by the triple accreditation: EQUIS, AACSB, and AMBA. emlyon business school welcomes 9,260 students from 130 nationalities across its four campuses in Lyon, Shanghai, Paris, and Mumbai. The School relies on a Faculty of 174 international professors and researchers, as well as a network of 220 academic partners, to deliver top-quality trainings recognized in the world's best rankings. It boasts a community of 48,000 alumni. As a Mission-driven company since 2021, emlyon business school cultivates the ability to drive change in resonance with the world by placing the hybridization of skills with social and environmental responsibility at the core of its training programs, supported by teaching methods that combine action and thinking. emlyon has endorsed the European Charter for researchers and is awarded HR excellence in research by the European Commission. The HR Strategy for Researchers (HRS4R) is available at the following link: https://em-lyon.com/en/faculty-and-research/hr-strategy-for-researchers THE ENVIRONMENT emlyon business school is at the center of a vibrant ecosystem of large universities with excellent research teams in engineering, computer science, natural sciences, social sciences, and the humanities (see: https://www.lyoncampus.com/en/welcome/lyon-a-city-of-innovation ) Lyon is the second largest city in France, with a long entrepreneurship tradition and a solid digital industry. Further information About emlyon business school: http://www.em-lyon.com/en/ THE APPLICATION SHOULD CONSIST OF: A cover letter including the motivation to join emlyon business school An up-to-date curriculum vitae A research statement A teaching statement (with teaching evaluations, where available) A list of papers under review or in progress Two references/names with contact information Possible questions about the position can be addressed to Professor Benoit Loeillet, Head of the ODAI department and chair of the recruitment committee at emlyon business school: loeillet@em-lyon.com All application materials should be submitted in English via this website page. The application materials will not be returned. RECRUITMENT PROCESS emlyon business school complies with the Open, Transparent and Merit-based Recruitment principles as stated in the European Code of Conduct for the recruitment of researchers. The selection committee is appointed by the Head of department and composed of three to eight professors, ensuring a balanced representation of gender, national origin, and professor grades. Pre-selection step: the selection committee reviews all the applications to short-list the candidates who meet the most criteria as described in the candidate's characteristics. Short-listed candidates are invited to a recruitment day (held by videoconference in most cases) with a) a job talk presentation b) one-on-one interviews with committee members. Each permanent professor attending the job talk completes an assessment grid, and the results are aggregated to identify the top one and top two applicants. Finalists are interviewed by the Dean for Faculty & Research and/or the Associate Dean for Research. The final decision is communicated by the Dean for Faculty & Research. SUBMISSION DEADLINE: 1st December 2025 emlyon reserves the right to consider applications submitted after the deadline. ------------------------------------------------------------------------------ (*) The ODAI (Operations, Data & AI) department is home of 17 researchers with diverse backgrounds and interests in decision making and data science, including AI. The ODAI department strives for high quality research, which is reflected in its publication record in top level journals. Close links with different types of organizations provide opportunities for research and engaged scholarship. The department develops and offers to many programs at the school courses that include (not exhaustively) Operations Management, decision aid-technics, data analysis, and applied AI related methods. Members often work conjointly on designing and updating the content and offered teaching approaches and experiences.
Posted 2 weeks ago
CalendlySan Francisco (Hybrid), CA
About the team & opportunity What's so great about working on Calendly's Engineering team? We make things possible for our customers through innovation. Why do we need you? Well, we are looking for a Head of Data Science & Machine Learning who will bring expertise around answering complex business questions with Data Science and operationalizing machine learning models with modern MLOps. You will report to the VP of Data & Infrastructure and will be responsible for leading Data Science / AI teams. A day in the life of a Director of Data Science & MLE Strategic Leadership: Develop and drive the Calendly's AI and data science strategy, ensuring alignment with overall business objectives and market needs AI/ML Innovation: Lead the research, development, and deployment of advanced machine learning models, generative AI solutions to address complex business challenges and enhance product offerings Team Leadership and Development: Build, manage, and mentor a multidisciplinary team of data scientists, machine learning engineers, and researchers, fostering a culture of innovation, collaboration, and continuous learning Cross-Functional Collaboration: Work closely with Product, Engineering, Design, Marketing, Sales, and Customer Success teams to integrate AI/ML initiatives across the organization and ensure seamless execution Project Oversight: Oversee the end-to-end lifecycle of AI/ML projects, from ideation and prototyping to production deployment and monitoring, ensuring timely delivery and measurable business impact AI Governance and Ethics: Establish and enforce best practices for ethical AI development, data governance, compliance, and risk management, ensuring transparency, fairness, and regulatory adherence Stakeholder Engagement: Engage with internal and external stakeholders to understand business requirements, validate AI-driven solutions, and communicate technical concepts to non-technical audiences Continuous Improvement: Stay abreast of emerging AI/ML technologies and industry trends, driving innovation and process improvements within the team and organization What do we need from you? Education: Advanced degree (Master's or PhD preferred) in Computer Science, Data Science, Statistics, Engineering, or a related quantitative field Experience: 10+ years of experience in AI, machine learning, or data science, including significant leadership or management roles Proven track record of delivering complex AI/ML solutions at scale and driving measurable business outcomes Technical Expertise: Deep knowledge of modern AI/ML algorithms, frameworks, and best practices (e.g., supervised/unsupervised learning, deep learning, NLP, computer vision) Strong programming skills in languages such as Python, R, or similar Experience with data engineering, analytics platforms, and cloud-based AI/ML infrastructure Leadership Skills: Demonstrated ability to build, lead, and mentor high-performing technical teams Strategic Thinking: Ability to develop and execute AI/ML strategies aligned with business goals and market demands Project Management: Strong project management skills, including resource allocation, timeline management, and budget oversight Communication: Excellent verbal and written communication skills, with the ability to influence and collaborate across all organizational levels and with external partners Ethics and Compliance: Commitment to ethical AI development, data privacy, and regulatory compliance Continuous Learning: Passion for staying current with AI/ML advancements and fostering a culture of ongoing professional development This role is pivotal and leverages AI and data science as core drivers of innovation, efficiency, and competitive advantage. What's in it for you? Ready to make a serious impact? Millions of people already rely on Calendly's products, and we're still in the midst of our growth curve - it's a fantastic time to join us. Everything you'll work on here will accelerate your career to the next level. If you want to learn, grow, and do the best work of your life alongside the best people you've ever worked with, then we hope you'll consider allowing Calendly to be a part of your professional journey. Our Hiring Process: We aim to provide an inclusive and equitable candidate experience to everyone who expresses interest in working at Calendly. To learn more about our hiring process, please visit our careers page at www.careers.calendly.com. Once selected for an opportunity, the recruiter assigned to the role will keep you informed every step of the way. Have questions? Let your recruiter know! Want to share your experience? We are passionately committed to improving and building on our process, and we consider feedback a gift. If you are an individual with a disability and would like to request a reasonable accommodation as part of the application or recruiting process, please contact us at recruiting@calendly.com. Calendly is registered as an employer in many, but not all, states. If you are located in Alaska, Alabama, Delaware, Hawaii, Idaho, Montana, North Dakota, South Dakota, Nebraska, Iowa, West Virginia, and Rhode Island, you will not be eligible for employment. Note that all individual roles will specify location eligibility. All candidates can find our Candidate Privacy Statement here Candidates residing in California may visit our Notice at Collection for California Candidates here: Notice at Collection The ranges listed below are the expected annual base salary for this role, subject to change. Calendly takes a number of factors into consideration when determining an employee's starting salary, including relevant experience, relevant skills sets, interview performance, location/metropolitan area, and internal pay equity. Base salary is just one component of Calendly's total rewards package. All full-time (30 hours/week) employees are also eligible for our Quarterly Corporate Bonus program (or Sales incentive), equity awards, and competitive benefits. Calendly uses the zip code of an employee's remote work location, or the onsite building location if hybrid, to determine which metropolitan pay range we use. Current geographic zones are as follows: Tier 1: San Francisco, CA, San Jose, CA, New York City, NY Tier 2: Chicago, IL, Austin, TX, Denver, CO, Boston, MA, Washington D.C., Philadelphia, PA, Portland, OR, Seattle, WA, Miami, FL, and all other cities in CA. Tier 3: All other locations not in Tier 1 or Tier 2 Note that this role is hiring in the the San Francisco Bay Area of CA. Candidates must be open to a hybrid work environment. Tier 1 Salary $285,600-$386,400 USD Tier 2 Salary $261,800-$354,200 USD Tier 3 Salary $238,000-$322,000 USD
Posted 1 week ago
Acclaim Technical ServicesAnnapolis Junction, MD
Acclaim Technical Services, founded in 2000, is a leading language, operations, and technology services company supporting a wide range of U.S. Federal agencies. We are an Employee Stock Ownership Plan (ESOP) company, which is uncommon within our business sector. We see this as a significant strength, and it shows: ATS is consistently ranked as a top workplace among DC area firms and continues to grow. Our Defense & Homeland Security Division, based in Hanover, MD is seeking multiple NCU Data Science Instructors with current TS/SCI with polygraph to deliver engaging, mission-aligned training for analysts operating in critical environments. The ideal candidate will translate complex concepts into accessible, meaningful instruction that empowers analysts to enhance their operational effectiveness and develop deeper competencies within their mission areas. Key Responsibilities: Deliver interactive training sessions aligned with evolving mission requirements. Facilitate learning that helps analysts reach new levels of insight and performance. Adapt instructional methods to suit diverse learner needs and skill levels. Provide hands-on tutoring to analysts in respective technical subject areas. This would include one-to-one training sessions, quarterly seminars and virtual training support to include resolving course content issues and student questions. Collaborate with subject matter experts and leadership to refine course content and training as needed. Maintain an up-to-date understanding of mission areas and evolving analyst skill sets. Required Qualifications: Teaching experience in relevant data science topics to include: visual data, Jupyter Notebooks, MS Excel formulas, Python, machine learning, data preparation, NetFlow, NLP, and Cyber Network Defense . Proven experience instructing or training professionals in mission-driven environments. Deep understanding of analytical tradecraft and intelligence or operations workflows. Exceptional communication and facilitation skills. A minimum of thirty-six (36) months relevant experience in the technical skill/area of expertise for which they are to provide training (Network Architectures of land-line, cellular, and satellite telephony systems, Cell phone operating systems, Satellite communication systems, Computer –to-computer network communication, Target Research, Tool fundamentals and other analyst tools, Geolocation Analysis, Social network Analysis, Network Characterization, Reporting Policies, Technical Reports, Data Science, etc.) . Adjunct Faculty certification is preferred. Current TS/SCI with polygraph clearance required. Pay Range: There are many 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 employee owners value the flexibility at ATS that allows them to balance quality work and their personal lives. We offer competitive compensation, career growth, benefits and learning and development opportunities. Our broad mix of exceptional benefits options is designed to support and protect employees and their families. At ATS, you will be eligible to participate in a comprehensive benefits package such as: healthcare, wellness, financial, retirement, family support, continuing education, and time off benefits. Learn more here Employee Resources . Equal Employment Opportunity / Affirmative Action ATS is committed to a program of equal employment opportunity without regard to race, color, ethnicity, national origin, ancestry, citizenship, sex, pregnancy, marital status, sexual orientation, age, religion/creed, hairstyles and hair textures, handicap/disability, genetic information/history, military/veteran status, or any other characteristic or condition protected by applicable law. We support the employment and advancement in employment of individuals with disabilities and of protected veterans, and we treat qualified individuals without discrimination on the basis of their physical or mental disability or veteran status. Powered by JazzHR
Posted 3 days ago
Acclaim Technical ServicesOahu, HI
Acclaim Technical Services, founded in 2000, is a leading language, operations, and technology services company supporting a wide range of U.S. Federal agencies. We are an Employee Stock Ownership Plan (ESOP) company, which is uncommon within our business sector. We see this as a significant strength, and it shows: ATS is consistently ranked as a top workplace among DC area firms and continues to grow. Our Defense & Homeland Security Division, based in Hanover, MD is seeking multiple NCU Data Science Instructors with current TS/SCI with polygraph to deliver engaging, mission-aligned training for analysts operating in critical environments. The ideal candidate will translate complex concepts into accessible, meaningful instruction that empowers analysts to enhance their operational effectiveness and develop deeper competencies within their mission areas. Key Responsibilities: Deliver interactive training sessions aligned with evolving mission requirements. Facilitate learning that helps analysts reach new levels of insight and performance. Adapt instructional methods to suit diverse learner needs and skill levels. Provide hands-on tutoring to analysts in respective technical subject areas. This would include one-to-one training sessions, quarterly seminars and virtual training support to include resolving course content issues and student questions. Collaborate with subject matter experts and leadership to refine course content and training as needed. Maintain an up-to-date understanding of mission areas and evolving analyst skill sets. Required Qualifications: Teaching experience in relevant data science topics to include: visual data, Jupyter Notebooks, MS Excel formulas, Python, machine learning, data preparation, NetFlow, NLP, and Cyber Network Defense . Proven experience instructing or training professionals in mission-driven environments. Deep understanding of analytical tradecraft and intelligence or operations workflows. Exceptional communication and facilitation skills. A minimum of thirty-six (36) months relevant experience in the technical skill/area of expertise for which they are to provide training (Network Architectures of land-line, cellular, and satellite telephony systems, Cell phone operating systems, Satellite communication systems, Computer –to-computer network communication, Target Research, Tool fundamentals and other analyst tools, Geolocation Analysis, Social network Analysis, Network Characterization, Reporting Policies, Technical Reports, Data Science, etc.) . Adjunct Faculty certification is preferred. Current TS/SCI with polygraph clearance required. Pay Range: There are many 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 employee owners value the flexibility at ATS that allows them to balance quality work and their personal lives. We offer competitive compensation, career growth, benefits and learning and development opportunities. Our broad mix of exceptional benefits options is designed to support and protect employees and their families. At ATS, you will be eligible to participate in a comprehensive benefits package such as: healthcare, wellness, financial, retirement, family support, continuing education, and time off benefits. Learn more here Employee Resources . Equal Employment Opportunity / Affirmative Action ATS is committed to a program of equal employment opportunity without regard to race, color, ethnicity, national origin, ancestry, citizenship, sex, pregnancy, marital status, sexual orientation, age, religion/creed, hairstyles and hair textures, handicap/disability, genetic information/history, military/veteran status, or any other characteristic or condition protected by applicable law. We support the employment and advancement in employment of individuals with disabilities and of protected veterans, and we treat qualified individuals without discrimination on the basis of their physical or mental disability or veteran status. Powered by JazzHR
Posted 3 days ago
R
RELX CompanyRaleigh, North Carolina
About our Team : LexisNexis Legal & Professional, serving customers in over 150 countries with 11,800 employees worldwide, is part of RELX, a global provider of information-based analytics and decision tools for professional and business customers. Our company is a leader in deploying AI and advanced technologies to improve productivity and transform the legal market. We prioritize using the best models from today's top creators for each legal use case. About LexisNexis Data Sciences: At LexisNexis, we're redefining legal intelligence through advanced AI. Our teams harness the power of large language models (LLMs) , retrieval-augmented generation (RAG) , and agentic systems to build tools that analyze, draft, and reason with legal text. Join us in building AI systems that help legal professionals move faster, think deeper, and operate with confidence. Role Overview: We are seeking a Senior Manager of Data Science to lead a high-impact team focused on building intelligent systems powered by LLMs and RAG architectures . This role centers on delivering AI agents that generate legal documents , interpret contracts , and autonomously execute multi-step tasks across complex legal workflows. You’ll drive the strategy, technical execution, and team growth necessary to build next-generation legal assistants—capable of grounded reasoning, contextual document drafting, and interaction with structured and unstructured data sources. Key Responsibilities: Vision & Strategy: Define the roadmap for applying LLMs and agentic AI to real-world legal drafting, summarization, and task automation challenges. Evangelize and embed AI-driven change across legal product platforms. Translate evolving generative AI capabilities into tangible customer value within the legal domain. Technical & Product Leadership: Architect systems that combine foundation models with RAG pipelines to draft contracts, memos, and pleadings grounded in enterprise knowledge. Guide the development of AI agents that perform multi-step reasoning, cite evidence, retrieve domain-specific content, and produce compliant outputs. Lead evaluation of model performance for generation, summarization, classification, and dialogue-based workflows with legal constraints in mind. Build scalable prompt engineering frameworks and manage fine-tuning or adaptation of models to legal datasets. Team & Operational Excellence: Mentor and grow a multidisciplinary team of LLM-focused Data Scientists and ML Engineers. Drive cross-functional collaboration with Legal SMEs, Data Engineers, Product Managers, and Design. Establish best practices for evaluation, observability, and responsible use of generative AI. Oversee development of infrastructure to support continuous delivery and monitoring of LLM systems in production environments. Core Qualifications: Experience Previous people management experience (3+ years) of teams building LLM-based applications , especially in domains requiring rigor and traceability like legal, finance, or compliance. Hands-on experience delivering systems using LangChain , LLM agent frameworks , vector databases , and prompt orchestration pipelines . Strong background in deploying retrieval-augmented generation (RAG) systems for grounded and auditable responses. Demonstrated success in taking LLM-powered applications from prototype to production. Technical Proficiency Proficient with Python and LLM tooling: LangChain, HuggingFace Transformers, OpenAI APIs, and prompt tuning techniques. Familiarity with vector databases (e.g., Solr, Elasticsearch, Qdrant, Weaviate), knowledge graphs, and hybrid retrieval architectures. Working knowledge of containerization (Docker, Kubernetes), CI/CD, and model serving tools (TorchServe, Triton, Ray Serve). Cloud infrastructure experience on AWS, Azure, or GCP. Preferred Background Graduate degree in Computer Science, AI, Machine Learning, or equivalent experience. 10 years of post-degree experience, with 4+ years in a data science or applied AI leadership role, with a focus on NLP/LLM systems. Prior experience in legal tech, legal AI, or document-intensive domains is highly desirable. Familiarity with ethical/legal considerations in deploying generative AI in professional settings. Work in a way that works for you : We promote a healthy work/life balance across the organization. We offer an appealing working prospect for our people. With numerous wellbeing initiatives, shared parental leave, study assistance and sabbaticals, we will help you meet your immediate responsibilities and your long-term goals. Working flexible hours - flexing the times when you work in the day to help you fit everything in and work when you are the most productive Working for you : We know that your wellbeing and happiness are key to a long and successful career. These are some of the benefits we are delighted to offer: Health Benefits: Comprehensive, multi-carrier program for medical, dental and vision benefits Retirement Benefits: 401(k) with match and an Employee Share Purchase Plan Wellbeing: Wellness platform with incentives, Headspace app subscription, Employee Assistance and Time-off Programs Short-and-Long Term Disability, Life and Accidental Death Insurance, Critical Illness, and Hospital Indemnity Family Benefits, including bonding and family care leaves, adoption, and surrogacy benefits Health Savings, Health Care, Dependent Care and Commuter Spending Accounts Up to two days of paid leave each to participate in Employee Resource Groups and to volunteer with your charity of choice About the Business : LexisNexis Legal & Professional® provides legal, regulatory, and business information and analytics that help customers increase their productivity, improve decision-making, achieve better outcomes, and advance the rule of law around the world. As a digital pioneer, the company was the first to bring legal and business information online with its Lexis® and Nexis® services. We are committed to providing a fair and accessible hiring process. If you have a disability or other need that requires accommodation or adjustment, please let us know by completing our Applicant Request Support Form or please contact 1-855-833-5120. Criminals may pose as recruiters asking for money or personal information. We never request money or banking details from job applicants. Learn more about spotting and avoiding scams here . Please read our Candidate Privacy Policy . We are an equal opportunity employer: qualified applicants are considered for and treated during employment without regard to race, color, creed, religion, sex, national origin, citizenship status, disability status, protected veteran status, age, marital status, sexual orientation, gender identity, genetic information, or any other characteristic protected by law. USA Job Seekers: EEO Know Your Rights .
Posted 3 days ago
VerizonBasking Ridge, New Jersey
When you join Verizon You want more out of a career. A place to share your ideas freely — even if they’re daring or different. Where the true you can learn, grow, and thrive. At Verizon, we power and empower how people live, work and play by connecting them to what brings them joy. We do what we love — driving innovation, creativity, and impact in the world. Our V Team is a community of people who anticipate, lead, and believe that listening is where learning begins. In crisis and in celebration, we come together — lifting our communities and building trust in how we show up, everywhere & always. Want in? Join the #VTeamLife. What you’ll be doing... We use digital data as the fuel to propel us beyond our competition. As a Data Science Senior Manager, you’ll lead projects that develop and perform complex analyses using Big Data technologies. You’ll be constantly on the lookout for new modeling techniques, evolving technologies, and emerging industry trends so that we can stay ahead of the game. Your work will help us meet our customers’ needs and make it even easier for them to do business with us. Responsibilities include: Performing analyses to find actionable insights. Developing systems, applications, and visual dashboards. Conducting and guiding others through system usage assessments. Ensuring data quality and promoting process improvement. Handling security threats, and growing the dependability and reliability of our network through tools and software. What we’re looking for... With an eye towards improving performance and predictability, you like the science of analytics. Developing resolutions to complex problems, using your sharp judgment to develop methods, techniques, and evaluation criteria allows you to deliver solutions that make a huge impact. You’re able to communicate technical information to non-technical audiences, and you take pride in your ability to share your considerable knowledge with your peers. You’ll need to have: Bachelor’s degree or four or more years of work experience. Six or more years of relevant experience required, demonstrated through one or a combination of work and/or military experience, or specialized training. Experience as a data scientist, analyst, or statistical modeler. Experience with visualization tools, like Tableau. Even better if you have one or more of the following: Degree in business intelligence and analytics, computer science, or mathematics. Master’s degree. Experience with Data Warehousing or Teradata SQL. Knowledge of distributive computing tools, like Hive or Spark. Experience with SiteCatalyst/Clickstream. Experience with programming languages, like Java, Python, or Scala. If Verizon and this role sound like a fit for you, we encourage you to apply even if you don’t meet every “even better” qualification listed above. Where you’ll be working In this hybrid role, you'll have a defined work location that includes work from home and a minimum eight assigned office days per month that will be set by your manager. Scheduled Weekly Hours 40 Equal Employment Opportunity Verizon is an equal opportunity employer. We evaluate qualified applicants without regard to veteran status, disability or other legally protected characteristics. Benefits and Compensation Our benefits are designed to help you move forward in your career, and in areas of your life outside of Verizon. From health and wellness benefit options including: medical, dental, vision, short and long term disability, basic life insurance, supplemental life insurance, AD&D insurance, identity theft protection, pet insurance and group home & auto insurance. We also offer a matched 401(k) savings plan, stock incentive programs, up to 8 company paid holidays per year and up to 6 personal days per year, parental leave, adoption assistance and tuition assistance, plus other incentives, we’ve got you covered with our award-winning total rewards package. Depending on the role, employees have the opportunity to receive compensation in the form of premium pay such as overtime, shift differential, holiday pay, allowances, etc. Newly hired employees receive up to 15 days of vacation per year, which grows with additional service. For part-timers, your coverage will vary as you may be eligible for some of these benefits depending on your individual circumstances. The salary will vary depending on your location and confirmed job-related skills and experience. This is an incentive based position with the potential to earn more. For part-time roles, your compensation will be adjusted to reflect your hours. The annual salary range for the location(s) listed on this job requisition based on a full-time schedule is: $120,500.00 - $231,000.00. The annual salary range for the New York location(s) listed on this job requisition based on a full-time schedule is: $132,500.00 - $231,000.00.
Posted 1 week ago
L
LinkFt Meade, Maryland
DS position on a team in C323 supporting a project that leverages advanced AI techniques, including natural language processing, computer vision, and machine learning. The project streamlines the analysis of engineering documents, performs comprehensive system decomposition, and identifies potential vulnerabilities. The framework provides a holistic approach to understanding, managing, mitigating cybersecurity risks, but integrating mission and system decomposition, software bill of materials analysis, and enriching vulnerability discovery capabilities.
Posted 3 weeks ago
PrizePicksAtlanta, Georgia
At PrizePicks, we are the fastest-growing sports company in North America, as recognized by Inc. 5000. As the leading platform for Daily Fantasy Sports, we cover a diverse range of sports leagues, including the NFL, NBA, and Esports titles like League of Legends and Counter-Strike. Our team of over 450 employees thrives in an inclusive culture that values individuals from diverse backgrounds, regardless of their level of sports fandom. Ready to reimagine the DFS industry together? What you’ll do: Own pricing and risk strategy for our fantasy markets, balancing competitiveness and profitability. Lead and grow a high-performing team of pricing analysts and data scientists. Oversee the development and deployment of pricing models across major sports and esports (NBA, NFL, CS2, etc). Partner cross-functionally with Product, Engineering, and BizOps to launch and optimize pricing initiatives. Guide experimentation around payout structures, hold targets, and win rate optimization to drive engagement and margin. Maintain and evolve frameworks for pricing accuracy, risk exposure monitoring, and market health. Ensure data integrity and modeling quality across all pricing efforts. What you have: 5+ years of experience in sports betting, fantasy, or related gaming industries, ideally with exposure to pricing, trading, or risk management. Strong technical foundation in data science, statistics, or software engineering. Demonstrated management experience — leading, mentoring, and scaling high-output teams. Proficiency in SQL and Python or R; experience with simulation-based modeling and statistical optimization techniques. Deep understanding of how sports and/or esports markets are structured and modeled. Proven track record of driving complex projects from ideation through launch in a fast-paced environment. Strong communicator who thrives at the intersection of data, product, and operations. Where you’ll live: While we prefer candidates based in Atlanta, we are open to qualified applicants from anywhere in the U.S. and are willing to consider remote candidates. #LI-Remote Working at PrizePicks: The typical salary range for this position is $145,000 to $195,000. At PrizePicks, we consider your role, level, and where you'll be working when determining our salary ranges. The compensation info you see on our job postings gives you an idea of the starting pay range for the position. Your actual pay within that range will depend on your specific work location, as well as your skills, experience, and education. Your recruiter will be happy to chat more about the specific pay range for your location and how we arrived at it during the hiring process. This application period will remain open for 30 days. We’re committed to finding the best candidate, so this date may be adjusted, and any changes will be reflected in this posting. Date Posted: 7/2/2025 Benefits you’ll receive: In addition to your great compensation package, full-time employees will be eligible for the following perks: Company-subsidized medical, dental, & vision plans 401(k) plan with company match Annual bonus Flexible PTO to encourage a healthy work/life balance (2 weeks STRONGLY encouraged!) Generous paid leave programs, including 16-week paid parental leave and disability benefits Workplace flexibility and modern work schedules focused on getting the job done, not hours clocked Company-wide in-person events and team outings Lifestyle enhancement program Company equipment provided (Windows & Mac options) Annual performance reviews with opportunities for growth and career development You must be authorized to work for any employer in the U.S. We are unable to sponsor or take over sponsorship of an employment Visa at this time. PrizePicks is an Equal Opportunity Employer. All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran or disability status.
Posted 30+ days ago
I
Invisible AgencyAustin, Texas
Are you a data science expert eager to shape the future of AI? Large‑scale language models are evolving from clever chatbots into powerful engines of analytical discovery. With high‑quality training data, tomorrow’s AI can democratize world‑class education, keep pace with emerging technologies, and streamline data-driven decision-making for professionals everywhere. That training data begins with you—we need your expertise to help power the next generation of AI. We’re looking for data science specialists who live and breathe machine learning, statistical modeling, data engineering, data visualization, natural language processing, time series analysis, deep learning, and algorithm development. You’ll challenge advanced language models on topics like supervised learning, unsupervised clustering, regression techniques, model evaluation metrics, feature engineering, anomaly detection, and real-world data pipelines—documenting every failure mode so we can harden model reasoning. On a typical day, you will converse with the model on project scenarios and theoretical data science questions, verify factual accuracy and logical soundness, capture reproducible error traces, and suggest improvements to our prompt engineering and evaluation metrics. A master’s or PhD in data science, computer science, statistics, or a closely related field is ideal; peer‑reviewed publications, industry projects, experience with cloud platforms, or open-source contributions signal fit. Clear, metacognitive communication—“showing your work”—is essential. Ready to turn your data science expertise into the knowledge base for tomorrow’s AI? Apply today and start teaching the model that will teach the world. We offer a pay range of $8-to- $65 per hour, with the exact rate determined after evaluating your experience, expertise, and geographic location. Final offer amounts may vary from the pay range listed above. As a contractor you’ll supply a secure computer and high‑speed internet; company‑sponsored benefits such as health insurance and PTO do not apply. Job title: Data Science Specialist – AI Trainer Employment type: Contract Workplace type: Remote Seniority level: Mid‑Senior Level
Posted 4 weeks ago
DraftKingsNew York, New York
We’re defining what it means to build and deliver the most extraordinary sports and entertainment experiences. Our global team is trailblazing new markets, developing cutting-edge products, and shaping the future of responsible gaming. Here, “impossible” isn’t part of our vocabulary. You’ll face some of the toughest but most rewarding challenges of your career. They’re worth it. Channeling your inner grit will accelerate your growth, help us win as a team, and create unforgettable moments for our customers. The Crown Is Yours Our Sports Modeling team comprises sports modeling experts and data science technologists, coming together to develop innovative products that deliver incremental value across our Sportsbook platform. As a Senior Data Scientist on the Sports Modeling team, you will develop models and data-driven solutions that enhance the Sportsbook experience for our users. In this role, you will work on implementing advanced sports models, refining data assets, and ensuring seamless integration into applications. What you’ll do as a Senior Data Scientist, Hockey Create statistical and machine learning models and integrate them into data science applications. Collect and engineer sports data assets to assist in model development. Implement the sports models and pricing engines in Python. Create automatic tests to ensure model and pricing engine accuracy. Collaborate closely with Trading, Product, Engineering, and QA teams to move projects from ideation to deployment. Test data flows and model integration in a larger business context. Coach and support more junior data scientists within the team . What you’ll bring Demonstrated passion for sports and a strong understanding of relevant leagues and their dynamics. A college degree in Statistics, Data Science, Mathematics, Computer Science, Engineering, or another related field. Proficiency in Python, with experience building statistical or machine learning models across various sports. Solid grasp of data science principles, statistical modeling techniques, and object-oriented programming concepts. Familiarity with tools and practices such as Kubernetes, Kafka, version control, and MLOps principles. Self-motivation and eagerness to expand knowledge and understanding of Sportsbook products and related technologies. Join Our Team We’re a publicly traded (NASDAQ: DKNG) technology company headquartered in Boston. As a regulated gaming company, you may be required to obtain a gaming license issued by the appropriate state agency as a condition of employment. Don’t worry, we’ll guide you through the process if this is relevant to your role. The US base salary range for this full-time position is 120,800.00 USD - 151,000.00 USD, plus bonus, equity, and benefits as applicable. Our ranges are determined by role, level, and location. The compensation information displayed on each job posting reflects the range for new hire pay rates for the position across all US locations. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific pay range and how that was determined during the hiring process. It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.
Posted 3 weeks ago
A
Head of Data Science 
Arrive Logistics Chicago, IL
Automate your job search with Sonara.
Submit 10x as many applications with less effort than one manual application.1
Reclaim your time by letting our AI handle the grunt work of job searching.
We continuously scan millions of openings to find your top matches.
Job Description
Who We Are
Arrive Logistics is a leading transportation and technology company in North America, with plans to continue to significantly grow year over year. Our success is a testament to our remarkable team and what we are building together. We’re committed to providing employees with a meaningful work experience and have established an award-winning culture that supports personal and career development in a fun, casual, and collaborative environment. There has never been a more exciting time to get on board, so read on to learn more and apply today!
Who We Want
We're seeking an experienced and visionary Head of Data Science to join our technology leadership team. This is a pivotal role where you'll not only refine our data science strategy and spearhead innovation but also play a critical role in shaping our overall data strategy, influencing the future of our data infrastructure, and enhancing our data visualization capabilities for scalable growth.
Arrive boasts an outstanding data foundation. The logistics industry is rich with market data, and we've built a proprietary platform for operations, instrumentation, and internal data collection. At Arrive, data-driven decisions, automation, and innovation are paramount. In this leadership role, you'll collaborate extensively with various teams across the technology group and the wider business.
What You’ll Do
- Develop and champion strategic data initiatives that directly align with quarterly and annual business objectives. You'll coordinate product and feature launches, foster the growth of your team, and serve as a senior leader within the Technology organization, articulating our holistic vision, strategy, and roadmap.
- Build upon and evolve Arrive's data science function and strategy, positioning us at the forefront of the industry.
- Collaborate closely with stakeholders across the organization to identify and solve complex business challenges, leveraging data to uncover and exploit new opportunities.
- Lead the creation of sophisticated data models that drive strategic initiatives and are seamlessly integrated into our products, delivering daily insights and automation to thousands of users.
- Continuously seek new and impactful ways to utilize Arrive's vast data assets for the benefit of our customers, always ensuring end-user privacy and security.
- Partner with the Engineering team to define and optimize our data infrastructure, and work with the Solutions group to enhance data visualization and utilization.
- Serve as an integral part of the technology leadership team, collaborating closely with Product Management and Engineering to drive integrated solutions.
- Strategize and create cutting-edge models and capabilities in areas such as supply chain forecasting, pricing, NLP for automation, and people forecasting, making our vision of "empowering the ambitious" through software and data a reality.
- Lead Arrive's entire data science function. This includes understanding the needs of various teams, establishing an optimal team structure, and designing end-to-end workflows to best serve those needs.
- Take ownership of developing, estimating, and executing a data science roadmap, consistently measuring and testing for quantitative success and continuous improvements.
- Build, lead, manage, and mentor a high-performing team of skilled data scientists, empowering them to proactively lead iteration cycles with stakeholders and advance according to the team's vision and business goals.
- Actively gauge fluctuations in the needs of relevant teams across Arrive and strategically hire new team members to scale the function effectively.
- Maintain highly effective communication and responsiveness within your team and with stakeholders across the company, adeptly managing a large volume of ongoing projects.
- Collaboratively partner with Arrive's internal teams, customers, carriers, and the broader freight logistics technology ecosystem to ensure seamless operations and foster strong relationships.
- Possess the ability to consider long-term sustainability in all data science decisions, with a keen eye for scalability and maintainability, while balancing future ideals with short and medium-term needs.
- Exhibit strong communication skills, effectively championing the best ideas and advocating for your beliefs with integrity and respect.
Qualifications
- 5+ years in data analytics and quantitative modeling as a hands-on technical contributor.
- 3-5 years of relevant industry experience is a MUST (freight brokerage, logistics, supply chain, B2B pricing.
- 5+ years of leadership/management experience, leading a team deeply embedded in multiple functions of the business.
- Excellent educational background in a quantitative field, such as Operations Research, Economics/Econometrics, Forecast/Planning, Data Science/Machine Learning.
- Proficiency in SQL, Python, R, Spark, and familiarity with code and programming concepts.
- Experience with big data architectures, data modeling, ETL, and building large-scale data processing pipelines.
- Knowledge of deep learning, optimization, casual interference, and Agile methodologies.
- Excellent ability to translate complex technical concepts to non-technical audiences and vice-versa.
- A strategic, hands-on leader who simplifies complex problems and balances long-term vision with short-term needs.
- Proactive, self-starting, collaborative, and driven to personally own and complete critical initiatives.
Supervisory Responsibility
- This position will supervise a team of Data Scientists within the Technology organization
The Perks of Working With Us
- Take advantage of excellent benefits, including medical, dental, vision, life, and disability coverage.
- Invest in your future with our matching 401(k) program.
- Build relationships and take part in learning opportunities through our Employee Resource Groups.
- Enjoy office wide engagement activities, team events, happy hours and more!
- Leave the suit and tie at home; our dress code is casual.
- Work in the heart of downtown Chicago, IL!
- There are CTA and L train stops walking distance from the office and you can store your bike safely inside of the building.
- Sweat it out at the LifeStart gym in our office building that includes brand new Peloton bikes, top-of-the-line equipment and personal training options.
- Maximize your wellness with free counseling sessions through our Employee Assistance Program
- Get paid to work with your friends through our Referral Program!
- Take time to manage your physical and mental health - we offer company paid holidays, paid vacation time and wellness days.
- Receive 100% paid parental leave when you become a new parent.
- Get relocation assistance! If you are not local to the area, we offer relocation packages.
The base salary range for this position is $200K - $300K, plus bonus and benefits. The range displayed on each job posting reflects the pay range for the position across all locations. Within the range, individual pay is determined based on work location, job-related skills, experience, relevant education or training.
Your Arrive Experience
When we say “award-winning culture,” we mean it. We’ve been recognized as a top workplace by Inc. Fast Company, Fortune, and earned Top Workplaces and Great Place to Work, to name a few. We intend on topping many more of those lists in the years to come, but we’re not in it for the trophies. We’re committed to culture because it keeps us connected to each other and invested in our shared success while having a blast along the way. Our employee-founded resource groups create communities within Arrive’s walls, including Women in Logistics, Emerging Professionals, Prisms, Black Logistics Group, Salute and Unidos.
Notice:
To ensure a safe and transparent interview process, we want to note that Arrive Logistics adheres to strict recruitment practices. Candidates undergo an interview process, and Arrive Logistics does not provide unsolicited job offers. If you have concerns about receiving a fraudulent offer, please contact talentacquisition@arrivelogistics.com for verification.
Automate your job search with Sonara.
Submit 10x as many applications with less effort than one manual application.