Auto-apply to these data science jobs

Data Analyst The Opportunity: As a data analyst, you love diving into data and turning it into meaningful insights. With the abundance of structured and unstructured data, you understand the importance of transforming complex data sets into useful information to solve challenges. As a data analyst at Booz Allen, you can use your skills and experience to support a mission and use data for good. As a client-facing data analyst on our DoD team, you’ll work closely with your clients to understand their questions and needs and then dig into their data-rich environments to find the pieces of their information puzzle. Not only will you provide a deep understanding of their data, but you’ll also advise your client on what the information means and how it can be used to make an impact. Work with us to drive large-scale business and process decisions through data insights. Join us. The world can’t wait. You Have: 2+ years of experience with data exploration, data cleaning, data analysis, data visualization, or data mining 2+ years of experience with communicating analysis in both written and verbal forms Experience with writing analytical and technical reports and developing data visualizations to deliver key insights Experience with a scripting language, including SQL, R, or Python, to extract data Experience with presenting analyses Knowledge of good data principles, including data cleaning, preprocessing, and wrangling Ability to clearly convey complex data insights to non-technical stakeholders and provide writing samples Ability to maintain accuracy while dealing with large data sets, including high attention to detail and quality Secret clearance Bachelor’s degree Nice If You Have: Experience with inferential statistics, including hypothesis testing, confidence intervals, and design of experiments Experience with DevOps principles and Agile methodologies such as Kanban and Scrum Experience with version control systems such as Git Knowledge of descriptive statistics, including measures of central tendency and dispersion Knowledge of probability distributions, both discrete and continuous Clearance: Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information ; Secret clearance is required. Compensation At Booz Allen, we celebrate your contributions, provide you with opportunities and choices, and support your total well-being. Our offerings include health, life, disability, financial, and retirement benefits, as well as paid leave, professional development, tuition assistance, work-life programs, and dependent care. Our recognition awards program acknowledges employees for exceptional performance and superior demonstration of our values. Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible to participate in Booz Allen’s benefit programs. Individuals that do not meet the threshold are only eligible for select offerings, not inclusive of health benefits. We encourage you to learn more about our total benefits by visiting the Resource page on our Careers site and reviewing Our Employee Benefits page. Salary at Booz Allen is determined by various factors, including but not limited to location, the individual’s particular combination of education, knowledge, skills, competencies, and experience, as well as contract-specific affordability and organizational requirements. The projected compensation range for this position is $61,900.00 to $141,000.00 (annualized USD). The estimate displayed represents the typical salary range for this position and is just one component of Booz Allen’s total compensation package for employees. This posting will close within 90 days from the Posting Date. Identity Statement As part of the application process, you are expected to be on camera during interviews and assessments. We reserve the right to take your picture to verify your identity and prevent fraud. Work Model Our people-first culture prioritizes the benefits of flexibility and collaboration, whether that happens in person or remotely. If this position is listed as remote or hybrid, you’ll periodically work from a Booz Allen or client site facility. If this position is listed as onsite, you’ll work with colleagues and clients in person, as needed for the specific role. Commitment to Non-Discrimination All qualified applicants will receive consideration for employment without regard to disability, status as a protected veteran or any other status protected by applicable federal, state, local, or international law.

NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It’s a unique legacy of innovation that’s fueled by great technology—and amazing people. Today, we’re tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what’s never been done before takes vision, innovation, and the world’s best talent. As an NVIDIAN, you’ll be immersed in a diverse, supportive environment where everyone is inspired to do their best work. Come join the team and see how you can make a lasting impact on the world. At NVIDIA, we are leading the way in technology, transforming industries with our innovative advancements in AI and accelerated computing. We are looking for an exceptionally skilled Technical Marketing Manager - Data Center Infrastructure Specialist to join our dynamic Accelerated Computing team in Santa Clara, CA. This is a unique opportunity to combine your technical expertise with marketing skills, guiding data-driven storytelling and crafting compelling technical marketing assets. If you are ambitious and excel in a collaborative setting, we invite you to contribute to shaping the future of AI factory design and deployment! What you'll be doing: Develop and implement data-driven marketing strategies to support product launches and ongoing campaigns. Build detailed data center models to showcase and share intricate data insights with collaborators. Educate internal teams and partners on challenges, opportunities, and market trends. Collaborate with cross-functional teams to ingest and present data on relevant topics. Work with our sales organization to develop effective sales collateral and tools. What we need to see: Bachelor's degree in Marketing, Computer Science, Statistics, or a related field (or equivalent experience). 5+ years of experience in technical marketing or a similar role with a strong focus on data analysis. Strong analytical and problem-solving skills with attention to detail. Excellent communication skills, both written and verbal, with the ability to present complex data in a clear and concise manner. Strong desire to learn, motivated to tackle complex problems, and the ability to make sophisticated trade-offs. Experience and awareness of the data center design and simulation tools and the associated vendors. In-depth knowledge of data center environments, power distribution, cooling (air and liquid), servers, and network equipment. Ways to stand out from the crowd: Experience with project management or design of new data centers. Simulation definition and execution experience for data center air and/or liquid cooling optimization. #LI-Hybrid The base salary range is 124,000 USD - 230,000 USD. Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. You will also be eligible for equity and benefits . NVIDIA accepts applications on an ongoing basis. NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

Why Great Gray? At Great Gray Group, we strive to set the bar for the retirement services industry. Our goal is to deliver advanced retirement solutions that combine our core fiduciary services with robust investment options, innovative technology, and dedicated client service. We focus on making choices clearer, transitions smoother, and the client experience more delightful. Complacency isn't in our vocabulary. Every day, we look for opportunities to better serve our clients, be an excellent business partner, and earn the trust of those who rely on us. The Role Great Gray is looking to add a Senior Data Engineer on our Data Science and AI team . As a Senior Data Engineer, you will play a crucial role in building and maintaining the data infrastructure that powers our Analytics Hub platform. You will design, build, and optimize data pipelines that ingest, transform, and deliver critical financial and operational data to support business reporting and analytics capabilities across the organization. Location This position will work from our Boston, MA office. Great Gray currently supports a hybrid work model with 4 days onsite, and 1 day remote. Visa sponsorship or transfer of an existing visa is not available for this position. Applicants must be authorized to work directly for any employer in the United States without visa sponsorship or transfer. Responsibilities · Design, build, and maintain scalable data pipelines using Databricks, Delta Lake, and other modern data technologies · Develop robust ETL processes to ingest data from multiple sources including custodians, financial systems, and operational applications · Implement the medallion architecture (bronze, silver, gold) for data processing and storage · Build and optimize data models for the data warehouse (MS SQL Server) to support analytics and reporting needs · Develop automated data quality checks and monitoring systems to ensure data integrity · Create and maintain API layers for integrating with internal and external systems · Implement Master Data Management (MDM) solutions for funds, plans, and other key entities · Build data services to support document management, client/advisor portal, and other integration needs · Collaborate with business stakeholders to understand data requirements and translate them into technical solutions · Work with the analytics team to optimize data structures for reporting and data visualization tools like Power BI · Mentor junior engineers and establish engineering best practices · Complete other related duties as assigned Qualifications & Experience · Bachelor's degree in Computer Science, Information Systems, or related field; Master's degree preferred · 5+ years of experience in data engineering roles with proven track record of building data platforms · Strong expertise in SQL and data modeling techniques · Experience with Databricks, Azure Data Factory, or similar modern data engineering tools · Proficiency in Python, PySpark, Scala, or similar programming languages for data processing · Experience with building and maintaining data warehouses and data lakes · Knowledge of dimensional modeling and data warehouse design principles · Experience with implementing data quality frameworks and processes · Familiarity with APIs and data integration patterns · Experience with cloud platforms, particularly Microsoft Azure · Understanding of financial or investment data structures preferred · Experience with Master Data Management concepts and implementation · Ability to thrive in a fast-paced, dynamic environment and manage multiple priorities effectively. · Comfortable navigating ambiguity. · Entrepreneurial mindset to bring best practice ideas to the team. · Exhibits our Great Gray attributes: Results-Driven, Innovative, Resilient, and Decisive. Benefits We have a comprehensive and competitive benefits package at Great Gray. Some of the highlights are: · Be an integral part of an early-stage, high-growth organization! · Hybrid work environment · Competitive compensation package including 401(k) with elective and non-elective match opportunities · Lifestyle spending allowance program · Medical, Dental, Vision Insurance · Employer-paid life and disability insurance · Generous paid time off program Company Background Great Gray is the leading independent provider of trustee and administrative services to Collective Investment Trusts (“CITs”), with over $200 billion in CIT assets under management, across more than 780 funds. We proudly work with 80 subadvisors, including leading firms such as AllianceBernstein, American Funds, BlackRock, Franklin Templeton, MetLife, Neuberger Berman, PGIM, PIMCO and Raymond James. CITs are more than just an investment vehicle. They represent a forward-thinking approach to retirement planning. These tax-exempt, pooled investment vehicles are offered to employer-sponsored retirement plans, like 401(k)s. CITs are comparable to mutual funds, but, because they are tailored for the institutional retirement market, they can offer distinct advantages, including efficient administration and cost-effectiveness. CITs have a history dating back over 90 years; but they have gained favor over the past decade, driven by innovations, and Great Gray has been at the forefront. Great Gray has consistently delivered year-over-year growth at an above market rate and is investing in the continued development of its core CIT business as well as complementary administrative services and technology solutions for the retirement market. Madison Dearborn Partners (“MDP”) purchased Great Gray from Wilmington Trust in April 2023. As a result, Great Gray is an independent company owned by funds affiliated with MDP. Investor Background MDP is a leading private equity investment firm based in Chicago. Since MDP's formation in 1992, the firm has raised aggregate capital of over $28 billion and has completed over 150 platform investments. MDP invests across five dedicated industry verticals, including basic industries; business and government software and services; financial and transaction services; health care; and telecom, media, and technology services. Equal Employment Opportunity Policy Great Gray, LLC is an Equal Opportunity Employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender perception or identity, national origin, age, marital status, protected veteran status, disability status or other non-merit factor.

Museum of Science, Boston www.mos.org Innovation and creativity come from the unique perspectives of a diverse staff. We value your perspective. Who We Are: The Museum of Science is dedicated to inspiring a lifelong love of science in everyone. We are committed to inclusivity, innovation, and education, serving diverse communities through our exhibits, programs, and outreach efforts. Why We Need You: As a Senior Data Engineer, you will be key in building and optimizing scalable data pipelines that power analytics and business intelligence. Reporting to the Head of Data and Analytics, you will collaborate with analytics engineers, data analysts, and business teams to design efficient data architectures, automate data flows, and ensure high-performance data processing—delivering iterative value in line with the Data Strategy. Your work will ensure data is reliable, accessible, and well-structured, enabling teams to drive insights and decision-making. If you thrive on optimizing data infrastructure, solving complex data challenges, and working with modern cloud technologies, this role is for you. What You'll Accomplish: Design & Maintain Scalable Data Infrastructure : Build, optimize, and maintain data pipelines using tools like Fivetran, Estuary, and dbt Cloud to ensure seamless ingestion, transformation, and storage in Snowflake. Implement best practices for data integrity, performance, and cost optimization. Enhance Data Quality & Governance : Establish data governance frameworks to ensure compliance with GDPR, CCPA, and internal security policies. Design robust ELT workflows using dbt Cloud to standardize and transform raw data into analytics-ready models. Deliver Actionable Insights : Work closely with data analysts and business teams to ensure reliable, well-structured datasets are available for decision-making. Optimize reporting and self-service analytics in Power BI to enable business users to derive insights effectively. Drive Cross-Functional Collaboration : Partner with analytics engineers, data analysts, and business stakeholders to design efficient data solutions. Automate deployments using CI/CD workflows and ensure a scalable, well-documented data architecture. Lead Technical Execution & Best Practices : Contribute to code reviews, technical design documentation, and architectural discussions. Provide mentorship for junior engineers and ensure best practices in data modelling, testing, and modular programming. Optimize Cloud-Based Data Ecosystem : Manage and enhance Snowflake, ensuring it supports performance and scalability needs. Integrate data from diverse sources using Fivetran and Estuary, leveraging event-driven architectures and pub/sub-design patterns where necessary. This is a Hybrid position, with the selected candidate working 2-3 days onsite at the Museum of Science in Boston, MA. What We’re Looking For: Proven Data Engineering Expertise: You have experience designing and managing scalable data pipelines in cloud-based environments as a Data Engineer or in a similar role. You are proficient in SQL and Python and have hands-on experience working with Snowflake, dbt Cloud, Fivetran, and Estuary to build and optimize ELT workflows. Cloud Data Architecture & Performance Optimization : You have a deep understanding of cloud platforms (AWS, Azure, or Google Cloud) and expertise in managing data warehouses like Snowflake. You are skilled in data partitioning, indexing, caching, and query optimization, ensuring efficient and scalable data solutions. Data Modelling, Transformation & Governance: You are experienced in data modelling and transformation using dbt Cloud, ensuring data is structured for analytics and reporting. You enforce data quality, security, and governance standards (GDPR, CCPA) to maintain compliance and reliability across data assets. Integration & Automation : You have experience integrating data sources using Fivetran or Estuary, enabling seamless structured and semi-structured data movement. You are comfortable working with CI/CD pipelines, infrastructure-as-code (Terraform, Pulumi), and automation workflows to improve reliability and efficiency. Business-Focused Analytics Enablement: You understand how data supports decision-making and have experience working with Power BI or similar BI tools to enable self-service analytics. You can structure data for reporting, ensuring stakeholders can easily access and interpret insights. Collaboration & Stakeholder Engagement: You have strong communication skills and can work cross-functionally with data analysts, engineers, and business teams. You are comfortable translating technical concepts into clear, actionable insights and guiding teams toward data-driven decision-making. Problem-Solving & Adaptability: You are a critical thinker with strong analytical and troubleshooting skills. You proactively identify inefficiencies, optimize workflows, and adapt to new challenges. You stay ahead of industry trends and continuously seek ways to improve data operations. How We Work-Our Values: Everyone: We are everyone’s museum. We pursue equity and celebrate every person for who they are. We foster an inclusive environment in which we value and respect diversity. Service: We serve our colleagues and community. We hold ourselves accountable to be a trustworthy public resource, and to support a sustainable, just and evidence-based future. Learning: We love learning. We are curious about the world and want to share our joy and wonder with others. We value open minds and recognize that everyone has more to explore, discover and create. Connection: We find strength in connections. We collaborate across communities, organizations and disciplines to make science relevant and accessible to all. Boldness: We dream big. We boldly push ourselves forward, pursuing new ideas and challenges. We experiment and learn from our failures as we seek to inspire purpose, spark imagination and encourage hope. Salary Range $104,000 - $130,000 USD The Museum of Science is fully committed to Equal Employment Opportunity and to attracting, retaining, developing and promoting the most qualified employees without regard to their race, gender, color, religion, sexual orientation, national origin, age, physical or mental disability, citizenship status, veteran status, or any other characteristic prohibited by federal, state or local law. We are dedicated to providing a work environment free from discrimination and harassment, and where employees are treated with respect and dignity.

Overview Black Canyon Consulting (BCC) is searching for a Data Engineer to support our work at the at the National Institutes of Health (NIH). This opportunity is full time at the NIH in Bethesda, MD and/or remote work. We attract the best people in the business with our competitive benefits package that includes medical, dental and vision coverage, 401k plan with employer contribution, paid holidays, vacation, and tuition reimbursement. If you enjoy being a part of a high performing, professional service and technology focused organization, please apply today! Educational Requirements B.S. in a STEM field (Engineering, Computer Science, Mathematics, Physics) Alternatively, equivalent industry experience in bioinformatics or a related field Required Skills: Experience running operations in a large and complex environment, preferably in data operations Relational databases, SQL Scripting in Bash, Python, or other shell scripting languages Experience with LINUX/UNIX Ability to troubleshoot an operational pipeline to identify highest priority problems and identify solutions Excellent interpersonal skills and the ability to work as part of a team Other Desired Experience/Expertise: Knowledge of existing workflow languages and frameworks Work experience with production-level bioinformatics databases and pipelines Familiarity with technical environments, complex databases, and process flows Experience with the NCBI Sequence Read Archive (SRA) or GenBank databases and tools like BLAST or other DNA sequence analysis software Cloud technologies like Kubernetes, Athena, and BigQuery Experience with XML schemas Familiarity with Jira and Confluence Experience with Agile processes, especially scrum Background in virology is a plus Bonus Skills Strong presentation skills

Block is one company built from many blocks, all united by the same purpose of economic empowerment. The blocks that form our foundational teams — People, Finance, Counsel, Hardware, Information Security, Platform Infrastructure Engineering, and more — provide support and guidance at the corporate level. They work across business groups and around the globe, spanning time zones and disciplines to develop inclusive People policies, forecast finances, give legal counsel, safeguard systems, nurture new initiatives, and more. Every challenge creates possibilities, and we need different perspectives to see them all. Bring yours to Block. The Role The Quantitative Finance Team is a dynamic group of machine learning modelers, data scientists, former strategy consultants, and data engineers. We leverage cutting-edge AI, graph analytics, and machine learning algorithms to solve complex business challenges for Cash App and the broader Block organization. We are seeking a Senior Data Scientist to support our ML Business Modeling team within the Quantitative Finance group. This role requires a strong sense of business strategy, data science expertise, as well as project and product management skills. A successful candidate will lead the development of business models, manage project timelines, and set up a strategic roadmap for model development for both Square and Cash App. A critical aspect of this role is collaborating with both engineering teams and business stakeholders to "bridge the gap", ensuring successful implementation and alignment with company goals. You Will Lead the development and implementation of advanced predictive models to support strategic business decisions. Manage project timelines and deliverables, ensuring the timely completion of data science initiatives. Prioritize model development efforts based on business impact and strategic objectives. Collaborate with engineering teams to build and maintain robust end-to-end data pipelines. Conduct early-stage analysis to inform model development, leveraging business intuition to suggest key drivers and features. Review model implementation to ensure alignment with business expectations. Interface with business stakeholders to gather requirements and ensure models meet business needs. Provide business guidance and mentorship to data scientists and machine learning engineers. Explore improvements to business analytics using LLMs and other productivity tools. You Have 5+ years of experience in finance, economic analysis, data science, consulting, or a related field, with a focus on applying analytic tools to business problems Proficiency in SQL and advanced analytics tools. Strong understanding of statistical and machine learning modeling concepts. Experience in project management, with the ability to manage multiple projects and deliverables simultaneously. Excellent communication skills, with the ability to convey complex technical concepts to both technical and non-technical stakeholders. Demonstrated ability to work collaboratively across teams and functions. Technologies We Use and Teach SQL Python (Streamlit, Sklearn, Prefect) GitHub Databricks We’re working to build a more inclusive economy where our customers have equal access to opportunity, and we strive to live by these same values in building our workplace. Block is a proud equal opportunity employer. We work hard to evaluate all employees and job applicants consistently, based solely on the core competencies required of the role at hand, and without regard to any legally protected class. We believe in being fair, and are committed to an inclusive interview experience, including providing reasonable accommodations to disabled applicants throughout the recruitment process. We encourage applicants to share any needed accommodations with their recruiter, who will treat these requests as confidentially as possible. Want to learn more about what we’re doing to build an inclusive workplace? Check out our Inclusion & Diversity page Every benefit we offer is designed with one goal: empowering you to do the best work of your career while building the life you want. Remote work, medical insurance, flexible time off, retirement savings plans, and modern family planning are just some of our offering. Check out our other benefits at Block. Block, Inc. (NYSE: XYZ) builds technology to increase access to the global economy. Each of our brands unlocks different aspects of the economy for more people. Square makes commerce and financial services accessible to sellers. Cash App is the easy way to spend, send, and store money. Afterpay is transforming the way customers manage their spending over time. TIDAL is a music platform that empowers artists to thrive as entrepreneurs. Bitkey is a simple self-custody wallet built for bitcoin. Proto is a suite of bitcoin mining products and services. Together, we’re helping build a financial system that is open to everyone.

Description A little about us: The Red Alpha Data Science practice grew out of Red Alpha's reputation in Software and System Engineering with our Department of Defense clients. As sometimes happens, customers who trust our expertise in adjacent areas asked Red Alpha to assist with some of their burgeoning Data Science problems. Culturally, it probably suffices to say that we take our work seriously, but not ourselves. Our leaders have spent time in the trenches and have cursed daylight savings time changes and trailing whitespace as many times as you have. We like to say that we spend 80% of our time cleaning the data...and 20% of our time complaining about cleaning the data. Joking aside, our voices matter, and it is easy to see how our decisions affect the Data Science practice and Red Alpha as a whole. We have a clear vision of where we are headed. Our team takes a pragmatic approach to Data Science, defining it loosely as the intersection of technical expertise, business acumen, and soft skills to solve business problems with data. We spend a lot of time trying to understand the problem before we set about building a solution, and we prefer lower tech useful solutions over shiny algorithms and dust on the shelf. Did we mention we’re pragmatic? We have a diverse set of skills across our team, and whether you are a traditional Data Scientist (whatever that means…), an Applied Research Mathematician, a Database Engineer, a Full Stack Developer, or something else in that neighborhood, if you have a knack for picking apart data to make sense of it, we would enjoy having a conversation with you. A day in the life: We're looking for a Principal Data Scientist to support a program which leverages Natural Language Processing for analysis. As part of a dynamic team of Data Scientists, Developers and Cloud Architects, you will have the opportunity to develop many prototypes, test proof-of-concepts, and have the unique freedom to bring forth your own original ideas in direct support and alignment of specific customer needs and enterprise tradecraft. Development will be performed in an Open-Source environment where you will have direct access to the commercial cloud, tools, libraries and other necessary resources for the software development process. As a Principal Data Scientist, you will be part of a fast-paced environment to support immediate mission needs. This exciting opportunity presents the challenging responsibility of developing critical applications and systems for end-to-end data engineering capabilities to include aggregation, analytics, summarization and visualization on both large structured and unstructured datasets. In this particular role, you will work closely with a variety of individuals while effectively advising, communicating and presenting your findings to multiple stakeholders in multiple disciplinary areas: Data Architecture: Become an expert in characterizing, identifying and cataloging disparate datasets across multiple networks, systems and repositories while leveraging analytic/statistics for discovery and insight. Data Engineering: Apply streaming and storage strategies for data-in-transit and data-at-rest respectively. Design and implement high-performance and efficient data catalogs and structures for maximal throughput and minimal overhead for queries and other types of interactions with large datasets. Data Science : Apply natural language processing and machine learning/AI advanced techniques to train and optimize models for automating analysis, processes and insight. Deploy these trained models and processes to work on production at scale while leveraging the amenities of a commercial cloud environment - e.g. automatic scaling of the deployment and runtime of prototypes and workflows to distributed clusters. Data Visualization: Create visualizations using custom-developed dashboards and/or industry standard commercial platforms to present actionable insights and interactive interfaces. What you bring to the table: Now on to the fun of formal requirements - we have to apologize in advance for the corporate-speak here, but just hold your breath for a few lines and everything will be okay. We are actively hiring data professionals for roles across a broad range of skill levels and projects. Our goal is to find the best fit for you so please note that if you apply to one of them and we see a fit elsewhere we will let you know. So do not worry about applying initially for every position you might be interested in. All of our data scientists need the following skills: Proficiency with a scripting language such as R or Python Experience with data science techniques and algorithms such as classification, clustering, random forests, deterministic forests (jk), hierarchical modeling, deep learning, Markov Chain Monte Carlo, and others. Note that you do not need to have all of these (we hope you enjoyed our random smattering of techniques…!) but you should be comfortable and capable with several of them and know some others not on this list. A B.S. Degree in Data Science, Mathematics, Computer Science or related field. For entry-level data scientists, 0-3 years of experience on Data Science projects. For mid-level data scientists, 3-6 years of experience on Data Science projects. For senior-level data scientists, at least 6 years of experience on Data Science projects with at least 3 years of experience managing teams. A TS/SCI with Polygraph security clearance. For this particular role, you will also need: 16+ years experience in a similar work environment using the described technologies below. Any combination of the following acceptable criteria will be considered for work experience equivalence: Professional work experience history; Relevant technical certifications; Undergraduate degree in Computer Science, Information Systems, Engineering, Business, or a related field in a technical/scientific discipline; Graduate degree in a related field or discipline; Doctorate in a related field or discipline. Python development with expertise in Python data packages: pandas, numpy, scipy, gensim, scikit-learn Experience with ML technologies - TensorFlow, PyTorch, Jupyter notebooks, etc. Programming experience with implementation of machine learning models on textual data and structured datasets Experience with working on data visualization technologies - Kibana, Bokeh, Leaflet/Folium, Tableau, Splunk, etc. Development experience in commercial cloud environments - Amazon Web Service, Azure, etc. Experience with ElasticSearch indexes, SQL data repositories - structured and unstructured Experience with data workflow frameworks - Apache NiFi Familiarity with industry best practices for Agile software development, automated testing, and continuous integration These are important skills to have, but not necessarily mandatory: AWS Cloud development and infrastructure management Master’s degree or higher education in Computer Science, Mathematics, Data Science, Statistics or a related field or discipline Demonstrated professional experience with computer networks, digital forensics and cybersecurity The total package: Our total compensation package was strategically designed with our members in mind with the intention to: r eward our members for their hard work and commitment to our customers' missions; allow members to share in Red Alpha's success as we continue to grow and expand our footprint; provide long-term career opportunities through stability and internal mobility; and provide the resources our members need to support themselves and their dependents in the form of a robust benefits package. Our total compensation package includes a competitive base salary and benefits such as health, life/ disability, 401k, paid time off, professional development, and generous bonus programs. Please visit our benefits tab for additional information. Salary Range: Disclosed pay ranges are a general guideline, and are not a guarantee of a final salary or compensation. Our approach in determining final salaries takes into consideration a number of factors such as education, certifications, total years of relevant professional experience, actual level of expertise, and the responsibilities of the role itself. Based on the outlined roles, responsibilities, and requirements, the projected pay range for this position is $190,000 - $250,000. Some of our additional perks and benefits include: Retire sooner than planned: Get closer to retirement with up to 10% in 401k contributions, immediately vested. Have a career AND a life: Enjoy up to 5 weeks of leave (25 days of personal time off) and 11 paid floating holidays. Stay at your best: As a member, we'll pay 100% of your premiums for comprehensive health, dental, and vision insurance. We'll also pay the majority of the premiums for your family. Let's not forge free access to a fully equipped state of the art gym! Keep current on new technologies and technological advancements : $5250 per year towards ongoing education, trainings, certifications, and maintaining professional memberships. Dress in style: Spend up to $300 per year on company branded merchandise featuring top quality brands such as Under Armour, Nike, Carhartt, YETI, etc. Enjoy the culture: Attend fun company events throughout the year such as our Oktoberfest, summer picnic, and annual holiday party! These are all in additon to your team events which may include happy hours, baseball games, snowboarding, RenFest, and more! Every day, our elite customers are pushing through "the grind" to defeat the enemy, even putting their lives on the line for our freedom. Rise to the occasion with us to deliver engineering excellence, to match their dedication to this nation. Join us as we bring digital transformation to the fight!

Company: Ultra Intelligence & Communications Command, Control, Intelligence & Encryption (C2I&E) Provide Decision Advantage to Mission Partners Around the World Join us in our mission to provide the world's military members with the latest, most customizable solutions and capabilities, enabling mission success anywhere around the globe. At Ultra Intelligence and Communications (I&C), we provide critical, tactical capabilities to enhance and accelerate decision-making in the most challenging environments. By joining us, you will experience unrivaled opportunities for growth and innovation and be a part of a dynamic and diverse team that pushes boundaries and drives meaningful change in intelligence and communications. Command, Control, Intelligence, and Encryption (C2I&E) By joining our Command, Control, Intelligence, and Encryption (C2I&E) business, you will be a member of a team dedicated to providing innovative solutions that streamline the preparation and execution of intricate, mission-critical operations. We focus on enhancing situational awareness, tactical command and control, and seamless video data exchange capabilities within a dynamic, multi-domain environment. Job Description We’re seeking a Senior Data Scientist to lead advanced data analysis and systems engineering initiatives. This role leverages techniques to solve real-world challenges, enhance system operations, and optimize sensor and other product configurations, enabling mission partners to make fast, data-driven decisions in complex environments. The position requires close collaboration with government stakeholders and offers the opportunity to drive innovation and make a meaningful impact on mission-critical systems. This hybrid position is available in Huntsville, AL or Austin, TX. Leads the design and deployment of advanced machine learning models and artificial intelligence solutions tailored to solve complex mission-critical challenges. Analyzes diverse data sources, including structured, unstructured, and semi-structured data, to extract valuable insights that drive strategic decisions. Mentors junior data scientists, providing guidance on technical problems and career development. Manages end-to-end data projects, from data ingestion and cleaning to model deployment and performance monitoring. Works closely with product and engineering teams to implement scalable, production-grade solutions. Identifies new data sources and methods to enrich the analytical capabilities of the organization. Delivers results and technical insights to senior leadership and stakeholders, effectively communicating complex ideas in accessible terms. Other duties as assigned. Required Skills & Qualifications: Minimum of 8 years of experience in data science, machine learning, or related fields. Active US Government Security Clearance at the Secret level at hire. Clearances are granted to US Citizens. Master’s degree in Data Science, Computer Science, Mathematics, or related STEM field (Ph.D. preferred). Proficiency in Python, R, and SQL, with a strong command of machine learning frameworks (e.g., TensorFlow, PyTorch). Extensive experience with cloud-based data solutions (e.g., AWS, Azure), Kubernetes, and big data tools (e.g., Hadoop, Spark). Desired Skills & Qualifications: Experience with real-time data processing, data engineering, and ETL pipelines. Familiarity with deep learning, reinforcement learning, or natural language processing (NLP). Demonstrated leadership experience, including managing data science teams and driving cross-functional projects. Strong understanding of data privacy and security considerations in data science applications. Experience with model interpretability, bias mitigation, and explainability tools. #IC #LI-Hybrid #LI-DA1 Notice Due to the nature of the programs we deliver for our customers, candidates may need to obtain the relevant security clearance or handle export-controlled material as defined by the role's requirements. Our Benefits Every employee is critical to our success, and as such, we offer a range of flexible employee benefits, including: Annual Bonus - Annual Bonus – Performance Related Competitive Paid Time Off (PTO) package plus 11 company holidays Early finish on Friday 401K w/ company match Medical/Dental/Vision Benefits Student Loan Assistance Program Array of voluntary benefit offerings Diversity, Equity & Inclusion Statement At Ultra I&C, we are an equal opportunity employer and value diversity and inclusivity. Underpinned by our values, behaviors, and policies, we want you to feel empowered to be the best version of yourself. We also believe that people from different backgrounds and cultures will increase our diversity of thinking, ensuring we successfully deliver to our customers. We, therefore, do not discriminate based on race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. We also support requests for flexible working arrangements wherever possible. If you have any issues with your application, please email us at careers@ultra-ic.com . Reasonable accommodation statement: if you need accommodation for any part of the application process, please email careers@ultra-ic.com . We abide by the requirements of 41 CFR 60-1.4(a), 60.300-.5 (a), and 60-741.5(a). These regulations prohibit discrimination against qualified individuals based on their status as protected veterans or individuals with disabilities and prohibit discrimination against all individuals based on their race, color, religion, sex, sexual orientation, gender identity, or national origin and for inquiring about, discussing, or disclosing compensation. Moreover, these regulations require that covered prime contractors and subcontractors take affirmative action to employ and advance in employment individuals without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or veteran status.

Who We Are EDO is the TV outcomes company. Our leading measurement platform connects convergent TV airings to the ad-driven consumer behaviors most predictive of future sales. EDO empowers the advertising industry to maximize media impact, optimize creative performance, and know the fair value of every impression — across linear and streaming for an increasingly programmatic world. By combining immediate engagement signals with world-class decision science and vertical AI, EDO equips industry leaders with syndicated, investment-grade data that aligns media to business results — with detailed competitive, category, and historical insights. Leading brands, agencies, networks, streamers, and studios trust EDO’s TV intelligence to know what works. EDO is headquartered in New York City and Los Angeles. We recognize the benefits of hybrid working, and want to create the best balance to ensure we can continue working together effectively. For our NY team, we have a hybrid work policy of three days in the office and two remote work days. To learn more about the work we do at EDO, please visit EDO Press . The Role As a Data Engineer at EDO, you will join a team of talented Data Engineers working closely with Data Scientists to build out our next generation Ad EnGage data pipeline. This pipeline measures and optimizes the effectiveness of advertising by combining and analyzing dozens of sources of advertising occurrence data, advertising outcome data, identity resolution data, and various other types of data. Our clients use these insights to make critical business decisions about their advertising strategy. You will work with large data sets (trillions of rows and hundreds of TB of data) using a modern tech stack centered on AWS, Airflow, DBT, and Snowflake. What We Are Looking For Production experience building complex data pipelines A self-driven individual who eagerly takes ownership of projects in a startup environment Good working knowledge of data warehousing platforms (such as Snowflake, Redshift, etc), cloud computing (such as AWS), and ETL/data pipeline technologies (such as Airflow, DBT) A minimum of 4 years of software engineering experience, including at least 2 years of data engineering experience Proficiency with SQL and a scripting language such as Python or Ruby A strong understanding of software engineering practices, principles, and fundamentals Able to balance engineering considerations with business considerations Previous industry experience working with TV or other advertising data is a plus Compensation and Benefits EDO offers a competitive compensation package. Components of compensation include: Mid-stage equity and competitive salary Flexible Time Off Medical, dental and vision coverage, deeply discounted by EDO 401(k) plan, FSA, HSA Commuter Benefits When in an office, employee meals, snacks, and more In compliance with New York and California Pay Transparency Law, the salary range for this position is $130,000 to $190,000. We note the salary information as a general guideline only, as actual compensation may vary from posting. We will consider various factors to determine the offer for this role, including the scope and responsibilities of the position, relevant work experience, key skills, training, and business considerations. EDO is an Equal Opportunity Employer. We do not discriminate based on race, color, ethnicity, ancestry, national origin, religion, sex, gender, gender identity, gender expression, sexual orientation, age, disability, veteran status, genetic information, marital status, or any legally protected status. All your information will be kept confidential according to EEO guidelines.

Why join CompuNet? CompuNet values its people more than any other asset—and realizes the contributions made by each employee are a reflection of their education, experience, certifications, expertise and passions. We strive to take care of each other, do the right thing and help our customers succeed. We work to build lasting relationships and are proud that our customers across many industries see us as a trusted advisor. Putting the customer at the center of every engagement, our mission is to design, test, deploy and support the right IT solutions for every customer. We offer a generous total compensation package for our employees, including competitive wages, medical, dental, vision, PTO, company-matching retirement plans, profit-sharing and more. Our engineers are the foundation of success for our customers and our business. We are seeking a Senior Solutions Engineer with a Data Center focus to join our team in Bismarck, North Dakota. This role will provide value for our clients in both pre-sales design and post-sales implementation. This role will perform the following responsibilities: Collaborate with the sales team to build a winning strategy for our clients. Perform necessary Pre-Sales technical functions to create systems designs. Build Bill of Materials (BoM), create illustrations and diagrams and provide Statements of Work (SoW). Relay technical information to both technical and non-technical staff. Post-Sales Implementation of systems designed. Produce post Implementation project documentation. Provide proficient end-user systems administration training (post implementation) of CompuNet installed solutions Develop strategic relationships with our key manufacturer Partner SE's. Key Expectations of this role: Listen to and address customer technical challenges and design the right solution that meets the customer business needs. Ability to communicate on a high level regarding multiple technologies. Relay technical information to both technical and non-technical staff. Maintain existing certifications and grow to new areas with certification. Participate in all team functions including calls, meetings, events, etc. Technologies that this role will encompass are below: Converged and Hyper-Converged (HCI) solutions Storage Block, File & Object Connectivity Fibre Channel iSCSI Virtualization Design, deploy and maintenance vSphere Hyper-V Virtual network connectivity Cloud (some understanding preferred but not required) Understanding of public & private clouds Azure AWS GCP Data Protection Veeam Cohesity Rubrik Backup and Restore (Not all are required) Disaster Recovery Business Continuity Microsoft Active Directory (not required but recommended to have some level of understanding) Baseline understanding of Microsoft Active Directory and Windows Server components like DHCP, DNS & PKI Networking (Basic Networking) Fundamentals required for connectivity between data center, hybrid and cloud components Who you are You’re a strong team player that is invested in helping your customers succeed and contributing to a great team. You have the following knowledge, skills, abilities and/or education: 8+ years of experience is a plus Demonstrated ability to work independently and bring order to ambiguous situations Ability to work on different projects in a simultaneous fashion (i.e. multiple customer projects in the same time period). Ability to relay technical information to both technical and non-technical staff. Exceptional problem solving and organizational skills. Excellent time management and independent work skills. Excellent verbal and written communication skills. Willing to travel 25-50% of the time depending on client needs Additional Information At CompuNet, we strive to do the right thing - that includes taking care of our employees. We offer a full and comprehensive compensation package to all our employees, including: Medical, Dental, Vision, Employee Assistance Program, and Flexible Spending Accounts Life and AD&D insurance, Disability coverage, Critical Illness and Accident Insurance Paid Time Off (PTO) and paid Holidays Company-matching 401(k) Profit Sharing Competitive salary The estimated base salary range for this position is $100,000 - $175,000 per year. Actual salary will depend on a variety of factors, including location and job-related qualifications such as knowledge, skills, experience, training, certifications, education, or performance. This position is eligible for variable compensation, such as commission, bonuses, and profit sharing, in addition to the base salary. Who we are CompuNet, Inc. is an engineering-led IT solution provider that offers consulting, design, and professional services. Our strength lies in our team of outcome-driven and relationship-focused professionals with a long history of designing IT solutions. Our team of highly skilled engineers take the lead in designing, developing, and implementing solutions that address complex business challenges. This team takes ownership for the entire project lifecycle, from discovery and design through deployment, training, and handoff. We are an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, national origin, disability status, protected veteran status or any other characteristic protected by law.

ICF is currently seeking a Data Access Project Manager as part of the leadership team for Program Support Services (PSS) for the Office of Child Support Enforcement (OCSE). As the Data Access Manager, you will apply your knowledge and experience in Title IV-D of the Social Security Act to support project execution on a national project in a federal consulting environment. The purpose of this project is to assist the OCSE in enabling state and tribal child support agencies to better comply with federal law and improve enforcement and service delivery through program and IT management, technical support, training/communications, and data access services. As the Data Access Manager, you will be the liaison between current and prospective users of FPLS data to facilitate all aspects of the data match process. The Data Access Manager connects users to FPLS data through reporting, legislative analysis, program outreach, technical assistance, and organizational support. Key Responsibilities: Manage and oversee the data access and data matching processes, ensuring compliance with all relevant agreements and regulations. Facilitate the data match process, provide information to requesting entities, perform follow-ups, and track all information related to matches. Collect and report performance data from each partner as stated in their matching agreement through the monthly Partner Performance Data Report. Provide training, technical assistance, and problem resolution for partners, ensuring all activities are captured in the Monthly Status Report. Track all Data Access agreements and documents using tools like Confluence to monitor all matching activities. Collaborate with internal teams to prepare security addenda, collect performance data from partners, and maintain Standard Operating Procedures and user guides for Data Access Child Support Portal users. Manage a team to support Data Access for all stakeholders Basic Qualifications: M.S. or B.S. Required For M.S. a minimum of 6 years’ relevant child support services and enforcement experience For B.S. a minimum of 8 years' relevant child support services and enforcement experience 3 to 5 years of experience with access of sensitive data; reporting; sharing across stakeholders including other federal programs and agencies, technical support; and critical project management skills. Minimum of 5 years in a leadership position Ability to travel up to 10% of the time Eligible to complete the HHS background verification process at the Public Trust clearance level Preferred Skills/Experience: Experience with OCSE data requirements and child support enforcement tools. Experience with federal data access and matching programs. In-depth knowledge of Title IV-D of the Social Security Act, which governs child support enforcement. Professional Skills: Strong project management skills with the ability to handle multiple tasks and deadlines. Excellent problem-solving and analytical skills. Ability to work collaboratively in a multiple contractor environment. Proficiency in using data management and collaboration tools such as Confluence and JIRA. Strong organizational skills with the ability to maintain detailed records and documentation. Ability to provide clear and concise training and technical assistance. Strong interpersonal skills with the ability to build and maintain relationships with partners and stakeholders. Ability to adapt to changing regulations and requirements. High level of integrity and commitment to maintaining data security and privacy. Proactive approach to identifying and mitigating risks. Knowledge of OCSE data requirements and child support enforcement tools. Proficiency in MS Office Applications (Word, PowerPoint, Outlook, Excel, Project) and MS SharePoint. #Indeed Working at ICF ICF is a global advisory and technology services provider, but we’re not your typical consultants. We combine unmatched expertise with cutting-edge technology to help clients solve their most complex challenges, navigate change, and shape the future. We can only solve the world's toughest challenges by building a workplace that allows everyone to thrive. We are an equal opportunity employer . Together, our employees are empowered to share their expertise and collaborate with others to achieve personal and professional goals. For more information, please read our EEO policy. Reasonable Accommodations are available, including, but not limited to, for disabled veterans, individuals with disabilities, and individuals with sincerely held religious beliefs, in all phases of the application and employment process. To request an accommodation, please email Candidateaccommodation@icf.com and we will be happy to assist . All information you provide will be kept confidential and will be used only to the extent to provide needed reasonable accommodations. Read more about workplace discrimination righ t s or our benefit offerings which are included in the Transparency in (Benefits) Coverage Act. Candidate AI Usage Policy At ICF, we are committed to ensuring a fair interview process for all candidates based on their own skills and knowledge. As part of this commitment, the use of artificial intelligence (AI) tools to generate or assist with responses during interviews (whether in-person or virtual) is not permitted . This policy is in place to maintain the integrity and authenticity of the interview process. However, we understand that some candidates may require accommodation that involves the use of AI. If such an accommodation is needed, candidates are instructed to contact us in advance at candidateaccommodation@icf.com . We are dedicated to providing the necessary support to ensure that all candidates have an equal opportunity to succeed. Pay Range - There are multiple factors that are considered in determining final pay for a position, including, but not limited to, relevant work experience, skills, certifications and competencies that align to the specified role, geographic location, education and certifications as well as contract provisions regarding labor categories that are specific to the position. The pay range for this position based on full-time employment is : $97,699.00 - $166,088.00 DC Client Office (DC88)

Join our IS team as a Data Integration Engineer, where you'll play a pivotal role in designing and implementing data integration solutions. You'll collaborate with cross-functional teams to ensure seamless data flow and integration across our software solution platforms. Your contribution will shape our enterprise data strategy, driving innovation and efficiency in data management processes. RESPONSIBILITIES: Develop and implement data processing workflows/pipelines to support solutions development and business intelligence needs. Ensure seamless flow of data across systems by developing scalable and effective data integration solutions. Develop and maintain data storage solutions, including Azure SQL Database, Azure Data Lake, and Azure Blob Storage. Implement data validation and cleansing procedures to ensure the highest level of data quality and integrity. Monitor and resolve problems with data platforms to guarantee consistency and availability of the data. Work together with cross-functional teams to understand the needs for data and create effective data workflows. Use big data technologies like Azure Data Lake, Synapse Analytics, and Data Factory to handle and analyze large volumes of data. REQUIRED TECHNICAL SKILLS: Proficiency in the following tools and technologies: Azure Data Factory, Azure SQL Database, Azure Blob Storage, Azure Data Lake Storage, Azure Synapse Analytics, Azure Databricks, Apache Spark, Apache Airflow, Azure Logic Apps, Azure DevOps, Power Automate, REST API. REQUIRED EDUCATION AND EXPERIENCE: Bachelor’s degree in computer science or information technology. Equivalent combination of education and experience will also be considered 8-10 years of hands-on experience developing software solutions REQUIRED INTERPERSONAL AND COMMUNICATION SKILLS: Maintain effective relationships with clients and internal customers (Attorneys, Litigation Support, IP Services, and other support staff). Ability to lead and build consensus among peers and staff. Understanding and ability to follow project management methodologies. Accurately manage and report all time worked on projects. Ability to prioritize and manage tasks effectively. Ability to work in a fast-paced, flexible environment. Ability to effectively communicate technical concepts with an audience. Must be able to perform essential duties of the position with time constraints, interruptions, and under stress. OTHER DESIRED TRAITS: Attention to detail. Professional, efficient, and business-like manner. Proactive and shows initiative. Flexible and willing to take on new and challenging tasks. Application Process: Interested candidates should submit their resume and cover letter in an application on our website. The expected annual salary for this position ranges from $120,000 – 175,000. The salary offered will be determined by a wide range of factors including but not limited to experience level, education/training, and relevant skills. #LI-Remote #LI-Remote

About Us At Kalderos, we are building unifying technologies that bring transparency, trust, and equity to the entire healthcare community with a focus on pharmaceutical pricing. Our success is measured when we can empower all of healthcare to focus more on improving the health of people. That success is driven by Kalderos’ greatest asset, our people. Our team thrives on the problems that we solve, is driven to innovate, and thrives on the feedback of their peers. Our team is passionate about what they do and we are looking for people to join our company and our mission. That’s where you come in! The Data Integration Associate is responsible for assisting with the design, development, execution and maintenance of data integration processes. The ideal candidate is a goal-oriented, focused individual who has exceptional communication skills with the ability to execute data management tasks in a timely manner. In a world where the speed of change is forever increasing, being successful in this position requires the ability to assess and process data. What You'll Do: Work closely with the information technology and business teams to understand data collection requirements and methods Collaborate with data management peers, analyzing data collected and streamline data load processes Ensure delivery targets and SLAs are met Communicate issues/delays proactively to management to avoid delays in collecting and/or processing data Execute and/or develop processes for data validation/QC Resolve and/or communicate data issues to management for guidance/resolution Develop Cloud Services Data Pipeline jobs for loading data Promote data through staging environments What You'll Bring: BS in related field and/or at least 1 year experience in the role analyzing and processing data High level of proficiency with Microsoft Office Suite (Excel, Word) and/or Google for Business Applications Experience with Salesforce, Jira, etc. or other similar business applications Working knowledge of T-SQL (strongly preferred) Basic Programming : Familiarity with scripting languages (Python, Snowflake) or a willingness to learn quickly. Python: Widely used for data automation, scripting, and building data pipelines due to its versatility. SQL: Essential for querying, manipulating, and managing data within relational databases. Data Manipulation : Understanding of basic data manipulation techniques and tools (SQL and/or spreadsheets). Scripting : Beginner capability to read and write scripts (often in Python) for automating repetitive tasks, data extraction, or loading processes. Data Transformation : Skill in converting data from one format or structure to another, often to meet specific requirements for analysis or processing. Communication : Clear and Concise Communication: Ability to explain technical concepts and automation processes in simple terms to both technical and non-technical stakeholders. Active Listening: Attentively listening to understand data requirements, feedback, and potential issues in the automation process. Written Communication: Creating clear and comprehensive documentation for data pipelines, scripts, and processes to ensure maintainability and knowledge transfer. Collaboration: Teamwork: Working effectively with data scientists, data engineers, and other team members to achieve common goals. Cross-Functional Collaboration: Interacting with different departments (e.g., business, marketing) to gather requirements and ensure automation solutions meet their needs. Conflict Resolution: Addressing and resolving disagreements or challenges that may arise during the automation process. Problem-Solving and Critical Thinking: Analytical Skills: Analyzing complex data problems, identifying root causes, and developing effective solutions. Creative Thinking: Coming up with innovative approaches to automate data processes and improve efficiency. Troubleshooting: Identifying and resolving errors or issues in data pipelines and scripts. Adaptability and Learning Agility: Openness to Feedback: Willingness to receive and act upon feedback to improve automation solutions. Adapting to Change: Embracing new tools, technologies, or processes as needed to meet evolving business requirements. Customer Focus: Understanding the needs of end-users and ensuring that automation solutions deliver value and meet their expectations. Expected Hourly Rate: $30-$37/hr This is a temporary, hybrid role based out of Chicago, IL, Minneapolis, MN, or Boston, MA. We are anticipating approximately 40 hours/week for 3 months, with the potential to extend or convert to a permanent role. ____________________________________________________________________________________________ What It’s Like Working Here We thrive on collaboration, because we believe that all voices matter and we can only put our best work into the world when we work together to solve problems. We empower each other and believe in ensuring all voices are heard. We know the importance of feedback in individual and organizational growth and development, which is why we've embedded it into our practice and culture. We’re curious and go deep. Our slack channel is filled throughout the day with insightful articles, discussions around our industry, healthcare, and our book club is always bursting with questions. To learn more: https://www.kalderos.com/company/culture We know that job postings can be intimidating, and research shows that while men apply to jobs when they meet an average of 60% of the criteria, women and other marginalized folks tend to only apply when they check every box. We encourage you to apply if you think you may be a fit and give us both a chance to find out! Kalderos is proud to be an equal opportunity workplace. We are committed to equal opportunity regardless of race, color, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, or veteran status. Privacy notice for California job applicants . Kalderos participates in E-Verify.

Amentum is seeking a highly skilled and motivated Human Capital Data Analyst to support a critical National Security program. The ideal candidate will have extensive experience analyzing workforce data, building data visualizations, and providing analytic support for various human capital initiatives. This position requires a deep understanding of data analysis tools, the ability to communicate findings clearly, and a strong background in workforce analytics. Responsibilities: Analyze workforce data, including metrics related to hiring, retention, attrition, and organizational mobility, to identify trends and labor projections. Build and modify data visualization dashboards, reports, and other analytical products to meet client needs. Assist in the development and maintenance of position description libraries to standardize role information across the organization. Administer and manage relational databases, ensuring data integrity and accessibility. Normalize, standardize, and integrate disparate raw data sets for consistent analysis. Support survey design and execution across 18 Intelligence Community (IC) agencies. Provide data analytic support for surveys, data calls, and other human capital efforts, ensuring accurate and timely insights. Manage HR data and conduct thorough analysis to support workforce planning and decision-making processes. Required: BA/BS degree and 8+ years of relevant experience, or MA/MS degree and 6+ years of experience, or no degree with 9+ years of experience. TS/SCI with Polygraph clearance is required. Prior experience in data analysis within the Intelligence Community (IC). Strong ability to communicate technical or analytical findings in an easily understandable format through graphic, written, and verbal means. Proficiency in Tableau is required, with experience building data visualizations and dashboards. Proficient in MS Office tools, including Excel, Tableau, Python, and SQL. Preferred: Familiarity with additional tools such as Cognos, VBA, R, SPSS, SAS, Lime Survey, Personal Operations Portal system, PD Library, and Lawson. Experience in workforce analytics and workforce planning, particularly in the context of human capital management and strategy. Amentum is proud to be an Equal Opportunity Employer. Our hiring practices provide equal opportunity for employment without regard to race, sex, sexual orientation, pregnancy (including pregnancy, childbirth, breastfeeding, or medical conditions related to pregnancy, childbirth, or breastfeeding), age, ancestry, United States military or veteran status, color, religion, creed, marital or domestic partner status, medical condition, genetic information, national origin, citizenship status, low-income status, or mental or physical disability so long as the essential functions of the job can be performed with or without reasonable accommodation, or any other protected category under federal, state, or local law. Learn more about your rights under Federal EEO laws and supplemental language at EEO including Disability/Protected Veterans and Labor Laws Posters .

Description Target Digital Network Analyst Clearance: TS/SCI/FS Poly Location: Utah Altamira Technologies has a long and successful history providing innovative solutions throughout the U.S. National Security community. Headquartered in McLean, Virginia, Altamira serves the defense, intelligence and homeland security communities worldwide by focusing on creating innovative solutions leveraging common standards in architecture, data and security. Altamira believes that our people and the culture of our company differentiate us from other companies. Altamira is searching for a Target Digital Network Analyst (TDNA) in Saratoga Springs, UT. Qualifications: Active TS/SCI with polygraph Specific labor category determined by years of experience + educational degrees: Relevant experience requires aspects of Intelligence Analysis (e.g., target development, social network analysis, metadata analysis, knowledge of customer tool sets and databases). In some cases, foreign language proficiency may also be used to satisfy experience requirements. Education Degree in Computer Science. Degree in related fields (e.g., Engineering, Mathematics) may be considered relevant if programs contain a concentration of courses in the following foundational CS areas: algorithms, computer architecture (not network architecture) programming methodologies and languages, data structures, logic and computation, and advanced mathematics (for example, calculus, discrete mathematics) Information Technology (IT) and Information Security (IS) degrees may be considered relevant if the programs contain the amount and type of coursework equivalent to a Computer Science (CS) major. Altamira is an Equal Opportunity/Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or protected veteran status. We focus on recruiting talented, self-motivated employees that find a way to get things done. Join our team of experts as we engineer national security!

Data Scientist At FMC, the Data Science, Engineering and Analytics team powers innovative solutions across the enterprise, with roots in our industry-leading precision agriculture initiatives. While we continue delivering novel insights that help farmers and customers protect their crops against various pest pressures, our team has expanded to develop comprehensive data solutions throughout FMC's operations. As the only global agricultural sciences company focused exclusively on crop protection, FMC leverages our data expertise to deliver best-in-class agronomic advice and optimize business processes across the organization. Our team builds and maintains a diverse portfolio of applications and services, adopting the mindset, agility, and processes of a technology company while drawing on our 100+ years of experience in agriculture. This role is located at our corporate headquarters in Philadelphia, PA. Responsibilities: Build data science solutions to solve complex problems and fuel growth initiatives Work with stakeholders to find workable solutions to our business problems on data. This will require the ability to translate the problems stated in business terms into quantitative approaches, leading to projects starting small and aspiring to grow big if preliminary results are promising. Develop data pipelines (Airflow and Databricks) for automation, scalability, extensibility, and transparency Convey sophisticated machine learning and modeling solutions with intuitive visualizations and effective communications Participate in discussions to make the right scientific or technical trade-offs to meet long-term strategic and short-term tactical business needs Qualifications: MS/Ph.D. in computer science, machine learning, statistics, economics, applied mathematics, Physics, agronomy/climatology, or other scientific or computational disciplines 4+ years of industry experience building advanced analytics models and machine learning products across one or more areas of Predictive/Prescriptive Analytics, Natural Language Processing, Time Series Forecasting, Computer Vision, and Image Processing Applied experience of various machine learning techniques (e.g., Neural Networks, Tree based learning, Clustering etc.) Hands-on experience working on large data sets with expertise in data mining, predictive modeling, statistical analysis Experience with distributed systems such as Hadoop/MapReduce, Spark, etc. and modeling on cloud platforms (AWS/Azure/GCP) Fluency with at least one of the modern distributed ML frameworks such as TensorFlow, PyTorch , Keras , H2O etc. Demonstrated expertise in SQL and one or more languages commonly used in data analytics (Python, R, Scala etc.). Python/R/Scala proficiency is strongly preferred Experience with packages such as NumPy, SciPy, pandas, scikit-learn, dplyr etc. Passionate about data driven story telling using visualization tools like Tableau, Power BI. Demonstrated experience building and deploying production ready machine learning models Comfortable with multi-tasking in a fast paced and fun environment Preferred Qualifications: Hands on experience working with large data sets (Spark, Hadoop, Hive, Redshift, etc.) Experience articulating business questions and using mathematical techniques to arrive at an answer using available data Additional experience in one or more core analytic methods, such as predictive modeling customer segmentation/clustering, voice of customer applications, personalization, image recognition, supply chain optimization etc. Good understanding of data privacy, GDPR and best practices around data encryption Working knowledge of DevOps model, automated workflows, associated CI/CD components and containers (git, Jenkins, Docker, Kubernetes etc.) Well-versed in articulating business questions and using mathematical techniques to arrive at an answer using available data Project management experience managing vendors and system integrators to lead data engagements and drive adoption Experience analyzing geospatial information and applying geostatistical techniques to remote sensing data

Cardiosense is a rapidly growing, venture-backed medical AI company that is redefining how we detect, monitor, and manage heart disease. We're developing novel wearable sensors and advanced machine learning algorithms that translate raw physiological signals into clinically actionable, digital biomarkers used to detect early signs of cardiac worsening, guide personalized therapy, and improve patient outcomes. Our team brings together experts in data science, biosignal analysis, and medicine united by a common mission to identify and combat preventable cardiac disease. Cardiosense's solutions are built on over a decade of clinical research and we continue to collaborate with the world's leading academic institutions to introduce the next generation of cardiac monitoring and disease management. We are seeking a highly experienced Senior Data Scientist to lead complex projects, mentor junior team members, and develop cutting-edge machine learning models and analytics tools. The ideal candidate will have a proven track record of solving high-impact business problems using data-driven methodologies and be passionate about advancing our organization's data capabilities. KEY RESPONSIBILITIES Data Strategy Collaborate with cross-functional teams to identify opportunities for leveraging company data to drive business solutions. Collaborate with clinical teams and external vendors to facilitate data collection. Model Development & Deployment Design, develop, and deploy scalable machine learning models and advanced analytics. Apply digital signal processing techniques to physiological waveforms (PPG, ECG, SCG, etc.) and build novel machine learning algorithms for hemodynamic assessment. Optimize existing algorithms and pipelines to improve efficiency and performance. Own the end-to-end lifecycle of models, from research and prototyping to production and monitoring. Advanced Analytics Perform exploratory data analysis to extract actionable insights. Develop predictive, prescriptive, and descriptive analytics to inform decision-making. Work with structured and unstructured data to uncover trends and patterns. Data Infrastructure & Tools Partner with data engineering teams to ensure the availability of robust data pipelines. Recommend and implement data tools, frameworks, and platforms to enhance workflows. Stakeholder Engagement Communicate complex findings and recommendations to technical and non-technical stakeholders. Translate business objectives into data science tasks and projects. QUALIFICATIONS Education Master's or Ph.D. in Data Science, Computer Science, Statistics, Mathematics, or related field. Experience 3 + years of professional experience in data science or machine learning roles. Demonstrated experience leading data science projects or teams. Technical Skills Expertise in programming languages such as Python, R, or Scala. Strong proficiency in machine learning frameworks (TensorFlow, PyTorch, Scikit-learn). Experience with big data tools (e.g., Spark, Hadoop) and cloud platforms (AWS, Azure, GCP). Soft Skills Strong analytical thinking and problem-solving abilities. Excellent communication and presentation skills. Proven ability to influence cross-functional teams and stakeholders PREFERRED QUALIFICATIONS Industry experience in healthcare or medical device environment. Familiarity with MLOps and automated pipelines. $108,000 - $165,000 a year Compensation and Benefits: Individual compensation is based on a variety of factors, including skills, qualifications, experience, and geographic location. Additional bonuses and equity may also be available where applicableWe also offer a comprehensive and competitive benefits package, which includes: -Health, dental, and vision insurance -Health Savings Account (HSA) or Flexible Spending Account (FSA) options -Commuter benefits -401(k) retirement plan Cardiosense is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, ethnicity, religion, disability status, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status.

Integra is a boutique economic consulting and forensic analytics firm that works with government agencies and private entities to identify financial fraud. Integra is hiring quantitatively-skilled students/graduates with data science, data analytics, or software development experience who are interested in translating their academic interests into the real-world applications. Our team leverages a variety of data science/analytics techniques to extract meaningful insights from large datasets. As an intern you will develop tools used to collect large data sets, automate data pipelines, and perform cloud-based analytics. You will additionally gain experience at all stages of the data lifecycle in a professional environment. Responsibilities Design, develop, and maintain existing tools/scripts for retrieving, ingesting, and processing data in a cloud environment Build data pipelines and transform data to support usage in econometric analysis Work with our team to identify needs, design and implement solutions, and test results Apply appropriate data mining, analytics, or NLP techniques to verify integrity of and glean information from large datasets Document processes and present results to our team Required Qualifications Currently enrolled in a PhD or Master's degree program in Data Science, Data Analytics, Computer Science, Software Engineering, Applied Math, or other quantitative fields Experience scripting/programming in Python (3.1x) Experience designing, implementing, or interfacing with SQL databases Experience with data cleaning and preparation Experience interfacing with REST APIs Basic knowledge of cloud computing / storage technologies Knowledge of statistical methods and machine learning techniques Preferred Qualifications Strong background in SQL and Python as applied to data science, analysis, engineering, or warehousing tasks Experience with cloud based data warehousing tools (e.g., Google BigQuery, AlloyDB, CloudSQL, Amazon Redshift / Aurora, Azure Data Warehouse/Synapse, Snowflake) Experience using Github for version control At least one Python based project available for our team to review Applicants 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.

US, Nevada The SHOW comes alive at MGM Resorts International Have you ever wondered what it would be like to work in a place full of excitement, diversity, and entertainment? Are you enthusiastic about being a team player in one of the most fascinating industries in the world? At MGM Resorts, we seek individuals like YOU to create unique and show-stopping experiences for our guests. THE JOB: The Senior Manager of Data Insights will serve as a strategic and hands-on leader responsible for advancing data quality and delivering actionable insights across the organization. This individual will lead and develop a high-performing team of business analysts, implement rigorous data governance and quality standards, and collaborate cross-functionally to ensure the accuracy, reliability, and accessibility of key data assets that drive business decisions. THE DAY-TO-DAY: Build, mentor, and lead a high-performing team of business analysts, fostering professional growth and collaboration. Develop and deliver training on data quality best practices, promoting a culture of excellence and continuous improvement. Partner closely with engineering and business stakeholders to align on data priorities and ensure the consistent delivery of high-quality, business-ready data solutions. Drive enterprise-wide data quality initiatives, including data profiling, cleansing, validation, and ongoing monitoring. Conduct regular data audits, present actionable insights, and lead cross-functional remediation efforts to resolve data quality issues. Design, implement, and uphold standardized data quality frameworks and procedures that support scalable, reliable, and consistent data operations. Assess, recommend, and implement advanced data quality tools and technologies to enhance the accuracy, completeness, and reliability of organizational data assets. THE IDEAL CANDIDATE: Bachelor's degree in Business, Computer Science, Statistics, Mathematics, or related field 4+ years of experience in data/team management, analytics, or related field (6+ years preferred) Strong knowledge of data warehousing, modeling, mining techniques, and analytics Proficiency in SQL, Python, or R; experience with Power BI Excellent communication and interpersonal skills; ability to work in fast-paced environments Industry experience in hospitality or gaming is a plus Lead and mentor a high-performing team of business analysts Design and deliver training on data quality best practices Collaborate with stakeholders to align on data needs and ensure high-quality solutions Drive data quality initiatives (profiling, cleansing, validation, monitoring) Ensure compliance with data standards and regulatory requirements Manage data quality metrics and monitoring tools Collaborate with IT and data teams on governance and data quality tools Conduct audits, report findings, and lead remediation efforts Maintain documentation of data quality procedures Provide ongoing training and mentorship on data quality practices THE PERKS & BENEFITS: Wellness incentive programs to help you stay healthy physically and mentally Access to company hotel, food and beverage, retail, and entertainment discounts as well as discounts with company partners on things like travel, electronics, online shopping, and more Free meals in our employee dining room Free parking Health & Income Protection benefits (for eligible employees) Professional and personal development through programs and networking opportunities as well as volunteer opportunities in the community VIEW JOB DESCRIPTION: https://mgmresorts.marketpayjobs.com/ShowJob.aspx?EntityID=2&jobcode=12537 Are you ready to JOIN THE SHOW ? Apply today!