Senior data scientist jobs in District of Columbia

Who We're Looking For (Position Overview:) Spry Methods is seeking a Senior Scientist to support national security initiatives by delivering actionable data-driven insights. You will collaborate directly with investigators and analysts to understand complex data challenges, apply advanced analytical methods, and deliver results that impact critical missions.What Your Day-To-Day Looks Like (Position Responsibilities): Possesses and applies a comprehensive knowledge across key tasks and high impact assignments. Plans and leads major technology assignments. Evaluates performance results and recommends major changes affecting short-term project growth and success. Functions as a technical expert across multiple project assignments. May supervise others. Collaborate with non-technical, national security investigators and analysts to understand their data science needs, suggest solutions, and complete the work in a timely manner. Lead and/or design machine learning (ML), statistical analysis, and data analysis tasks. Leverage existing and/or conduct custom Extract Transform Load (ETL) work to aggregate data from multiple repositories and condition the data to provide novel insights. Interpret data, identify features and model variables, assess the quality of model outputs, generate alternatives, and conduct remediation. Find and design new approaches to handling, analyzing, and using large volumes of data and/or data sets, and explore fundamental issues with data handling, search, and retention. Design new software code to improve data search processes, and design, test, and validate the quality of data and data processes. Automate routine workflows and data analysis steps to assist with workflow automation. Report results of analyses and provide actionable recommendations. What You Need to Succeed (Minimum Requirements): TS/SCI Clearance Eight (8) years of relevant experience with a BS in Data Science, Mathematics, Information Science, Statistics, Engineering, Business Analytics, or related degree OR Four (4) years of relevant experience with an MS degree in Data Science, Engineering, Mathematics, or related degree. High proficiency in Python and a deep understanding of data science tools and methodologies. Proven ability to independently lead complex analytical tasks and mentor junior team members. Ideally, You Also Have (Preferred Qualifications): Preferred Experience: Experience supporting national security or law enforcement missions. Familiarity with big data platforms and tools (e.g., Hadoop, Spark, Elasticsearch). Knowledge of data governance, security, and data quality standards in secure environments. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job Description Vivo HealthStaff is recruiting for a Data Scientist with TS/SCI Clearance in the Washington, DC/Northern Virginia area. This is a full-time position supporting a federal government-focused technology company. Regular travel to client sites and secure facilities is expected. About the Role: Our client is an advanced analytics company supporting both government and commercial sectors. Their AI platform enables users to transform complex data into powerful visualizations and predictive models using no-code tools. The platform is currently deployed across federal agencies and major enterprise organizations. We are seeking a skilled and motivated Data Scientist to support mission-critical analytics and AI/ML deployments. Responsibilities: Utilize the company's AI platform to develop and deploy production-ready solutions. Own the full lifecycle of AI solution development from ideation to implementation. Work with customer data and big data frameworks (e.g., Databricks) to design effective workflows. Collaborate with cross-functional teams to deliver impactful, explainable AI models. Qualifications: Active TS/SCI security clearance required. Must be based in or near Washington, DC/Northern Virginia with access to SCIFs. Bachelor's degree in Computer Science or a related field. 3+ years of experience with Python and Python data stack (pandas, numpy, sklearn, TensorFlow, PyTorch, etc.). 1+ year of experience deploying machine learning models in production environments. 1-2 years of experience with SQL/NoSQL databases (e.g., Elasticsearch, graph databases). Experience with Git, Docker, and/or Kubernetes. Strong sense of ownership, accountability, and communication skills. Preferred Skills: Experience leading projects from within a SCIF environment. Background in cyber analytics, PCAP/network monitoring, or vulnerability analysis. Familiarity with distributed systems such as Spark, Dask, Snowpark, or Kafka. Experience with workflow/task orchestration tools (e.g., Celery, Airflow, Prefect) and web frameworks (e.g., Flask, Django). To Apply: Please submit your CV for immediate consideration. Only candidates with an active TS/SCI clearance and U.S. work authorization will be considered.

Job Description This dynamic project supports the FBI in strengthening its mission-critical operations through the delivery of integrated technical, operational, and analytical services. The focus is on enhancing the FBI's enterprise systems by maintaining secure cloud environments such as AWS and Azure, while enabling advanced data capabilities through scalable ETL pipelines and the migration of custom-developed tools into enterprise platforms. In parallel, the team engages in forward-leaning research on emerging technologies including artificial intelligence, machine learning, IoT, and mobile messaging applications to inform next-generation solutions. As part of its operational mission, the project provides direct case support and real-time data analysis for high-profile events managed by the 24/7 operations center. Responsibilities: Plans and leads major technology assignments. Evaluates performance results and recommends major changes affecting short-term project growth and success. Functions as a technical expert across multiple project assignments. Collaborates with nontechnical, national security investigators and analysts to understand their data science needs, suggest solutions, and complete the work in a timely manner. Leads and/or design machine learning (ML), statistical analysis, and data analysis tasks. Leverages existing and/or conduct custom Extract Transform Load (ETL) work to aggregate data from multiple repositories and condition the data to provide novel insights. Interprets data, identify features and model variables, assess the quality of model outputs, generate alternatives, and conduct remediation. Finds and designs new approaches to handling, analyzing, and using large volumes of data and/or data sets, and explore fundamental issues with data handling, search, and retention. Designs new software code to improve data search processes, and design, test, and validate the quality of data and data processes. Automates routine workflows and data analysis steps to assist with workflow automation. Reports results of analyses and provide actionable recommendations. Required Qualifications: Minimum Eight (8) years of relevant experience with a BS in Data Science, Mathematics, Information Science, Statistics, Engineering, Business Analytics, or related degree; OR Four (4) years of relevant experience with an MS degree in Data Science, Engineering, Mathematics, or related degree. Required Experience: Demonstrate high level of proficiency in all functional responsibilities and expert knowledge of data science and/or data analytics with: High proficiency in Python

Job Description Data Scientist (Senior) TS/SCI REQUIRED Support NSG strategies through the creation of automated collection models, dynamic analytic models, workflow automations, and any other automation processes and products as assigned. Refine, enhance and improve the operational performance of any automated solution through the evaluation of performance data, regular customer interaction, and a standardized maintenance cycle. Apply data science and visual programming tradecraft to support and streamline analysis tasks as identified by stakeholders and the Government. Enhance technical solutions to problems related to IC intelligence integration, automated collections, tipping and cueing, information sharing, and visualization. Conduct extensive collections and analytic modeling, data processing, Required Skills. Proficiency in common geospatial software applications and tools, such as visual programming (JEMA, FADE/MIST, ECO/ETAS), Python, SQL, Git, GIMS, AWS Sagemaker, AWS Cloud, ESRI ArcGIS, statistics (descriptive, Bayesian), Markov-Chain modelling, TensorFlow, Linear Algebra, R, SAS, NLP.

Job Description Senior Data Scientist (TS/SCI) Ninja Analytics is looking for a Senior Data Scientist to help lead the development and delivery of high-quality predictive modelling solutions. Successful applicants will serve as recognized subject matter experts in the application of quantitative methods, machine learning algorithms, and predictive models to address complex national and homeland security challenges. They will help our team to leverage large structured and unstructured datasets to develop and operationalize models, tools, and applications that drive optimized decision making. Project tasks include data collection, mining, data and text analytics, clustering analysis, pattern recognition and extraction, automated classification and categorization, and entity resolution to implement and enhance automated risk assessment. The products we develop provide actionable insight with real and immediate impact on the safety and security of the United States, its citizens, visitors, and economy. The strongest applicants will offer multiple years of experience in highly dynamic, threat/risk driven operating environments. They will also have a proven track record of delivering production ready decision support tools and applications employed in the field and by mission-support entities. Applicants will have a demonstrated capacity to work closely and collaboratively with mission stakeholders; respond to emergent, mission-driven changes in priorities and expected outcomes; and apply new and emerging tools and techniques. Within three - six months of joining the project, data scientists will be expected to: Perform hands-on analysis and modeling involving the creation of intervention hypotheses and experiments, assessment of data needs and available sources, determination of optimal analytical approaches, performance of exploratory data analysis, and feature generation (e.g., identification, derivation, aggregation). Collaborate with mission stakeholders to define, frame, and scope mission challenges where big data interventions may offer important mitigations and develop robust project plans with key milestones, detailed deliverables, robust work tracking protocols, and risk mitigation strategies. Demonstrate proficiency in extracting, cleaning, and transforming CBP transactional and mission data associated within an identified problem space to build predictive models as well as develop appropriate supporting documentation. Leverage knowledge of a variety of statistical and machine learning techniques and methods to define and develop programming algorithms; train, evaluate, and deploy predictive analytics models that directly inform mission decisions. Execute projects including those intended to identify patterns and/or anomalies in large datasets; perform automated text/data classification and categorization as well as entity recognition, resolution and extraction; and named entity matching. Brief project management, technical design, and outcomes to both technical and non-technical audiences including senior government stakeholders throughout the model development/ project lifecycle through written as well as in-person reporting. Qualifications Education: Bachelor's Degree (required), Master's or Ph.D. degree (preferred) in operations research, industrial engineering, mathematics, statistics, computer science/engineering, or other related technical fields with equivalent practical experience. Required Qualifications 12+ years of related experience Experience in developing machine learning models and applying advanced analytics solutions to solve complex business problems Experience with programming languages including: R, Python, Scala, Java. Proficiency with SQL programming Experience constructing and executing queries to extract data in support of EDA and model development Proficiency with statistical software packages including: SAS, SPSS Modeler, R, WEKA, or equivalent Experience with pattern recognition and extraction, automated classification, and categorization Experience with entity resolution (e.g., record linking, named-entity matching, deduplication/ disambiguation) Experience with unsupervised and supervised machine learning techniques and methods Experience performing data mining, analysis, and training set construction Desired Qualifications Proficiency with Unsupervised Machine Learning methods including Cluster Analysis (e.g., K-means, K-nearest Neighbor, Hierarchical, Deep Belief Networks, Principal Component Analysis), Segmentation, etc. Proficiency with Supervised Machine Learning methods including Decision Trees, Support Vector Machines, Logistic Regression, Random/Rotation Forests, Categorization/Classification, Neural Nets, Bayesian Networks, etc. Experience with pattern recognition and extraction, automated classification, and categorization Experience with entity resolution (e.g., record linking, named-entity matching, deduplication/ disambiguation) Experience with visualization tools and techniques (e.g., Periscope, Business Objects, D3, ggplot, Tableau, SAS Visual Analytics, PowerBI) Experience with big data technologies (e.g., Hadoop, HIVE, HDFS, HBase, MapReduce, Spark, Kafka, Sqoop) Security Clearance: Selected applicants must be a US Citizen and able to obtain and maintain a Top Secret Security Clearance

This dynamic project supports the FBI in strengthening its mission-critical operations through the delivery of integrated technical, operational, and analytical services. The focus is on enhancing the FBI's enterprise systems by maintaining secure cloud environments such as AWS and Azure, while enabling advanced data capabilities through scalable ETL pipelines and the migration of custom-developed tools into enterprise platforms. In parallel, the team engages in forward-leaning research on emerging technologies including artificial intelligence, machine learning, IoT, and mobile messaging applications to inform next-generation solutions. As part of its operational mission, the project provides direct case support and real-time data analysis for high-profile events managed by the 24/7 operations center. Responsibilities: Plans and leads major technology assignments. Evaluates performance results and recommends major changes affecting short-term project growth and success. Functions as a technical expert across multiple project assignments. Collaborates with nontechnical, national security investigators and analysts to understand their data science needs, suggest solutions, and complete the work in a timely manner. Leads and/or design machine learning (ML), statistical analysis, and data analysis tasks. Leverages existing and/or conduct custom Extract Transform Load (ETL) work to aggregate data from multiple repositories and condition the data to provide novel insights. Interprets data, identify features and model variables, assess the quality of model outputs, generate alternatives, and conduct remediation. Finds and designs new approaches to handling, analyzing, and using large volumes of data and/or data sets, and explore fundamental issues with data handling, search, and retention. Designs new software code to improve data search processes, and design, test, and validate the quality of data and data processes. Automates routine workflows and data analysis steps to assist with workflow automation. Reports results of analyses and provide actionable recommendations. Required Qualifications: Minimum Eight (8) years of relevant experience with a BS in Data Science, Mathematics, Information Science, Statistics, Engineering, Business Analytics, or related degree; OR Four (4) years of relevant experience with an MS degree in Data Science, Engineering, Mathematics, or related degree. Required Experience: Demonstrate high level of proficiency in all functional responsibilities and expert knowledge of data science and/or data analytics with: High proficiency in Python

DecisiveInstincts LLC is a JV (joint-venture) between ActioNet and Akamai Technologies. We are looking for a seasoned Senior Data Scientist. The focus is on enhancing the FBI's enterprise systems by maintaining secure cloud environments such as AWS and Azure, while enabling advanced data capabilities through scalable ETL pipelines and the migration of custom-developed tools into enterprise platforms. In parallel, the team engages in forward-leaning research on emerging technologies including artificial intelligence, machine learning, IoT, and mobile messaging applications to inform next-generation solutions. As part of its operational mission, the project provides direct case support and real-time data analysis for high-profile events managed by the 24/7 operations center. Location: Washington, DC (On-site) Salary Range: 180K-255K Clearance: Top Secret TS/SCI - with CI Poly Eligibility Estimated Start Date: October 2025 Responsibilities: Plans and leads major technology assignments. Evaluates performance results and recommends major changes affecting short-term project growth and success. Functions as a technical expert across multiple project assignments. Collaborates with nontechnical, national security investigators and analysts to understand their data science needs, suggest solutions, and complete the work in a timely manner. Leads and/or design machine learning (ML), statistical analysis, and data analysis tasks. Leverages existing and/or conduct custom Extract Transform Load (ETL) work to aggregate data from multiple repositories and condition the data to provide novel insights. Interprets data, identify features and model variables, assess the quality of model outputs, generate alternatives, and conduct remediation. Finds and designs new approaches to handling, analyzing, and using large volumes of data and/or data sets, and explore fundamental issues with data handling, search, and retention. Designs new software code to improve data search processes, and design, test, and validate the quality of data and data processes. Automates routine workflows and data analysis steps to assist with workflow automation. Reports results of analyses and provide actionable recommendations. Required Qualifications: Minimum Eight (8) years of relevant experience with a BS in Data Science, Mathematics, Information Science, Statistics, Engineering, Business Analytics, or related degree; OR Four (4) years of relevant experience with an MS degree in Data Science, Engineering, Mathematics, or related degree. Required Experience: Demonstrate high level of proficiency in all functional responsibilities and expert knowledge of data science and/or data analytics with: High proficiency in Python ActioNet is a CMMI-DEV Level 4, CMMI-SVC Level 4, ISO 20000, ISO 27001, ISO 9001, HDI-certified, woman-owned IT Solutions Provider with strong qualifications and expertise in Agile Software Engineering, Cloud Solutions, Cyber Security, and IT Managed Services. With 25+ years of stellar past performance, ActioNet is the premier Trusted Innogrator! Core Capabilities: Advanced and Managed IT Services Agile Software Development DevSecOps Cybersecurity Health IT C4ISR & SIGINT Data Center Engineering & Operations Engineering & Installation Why ActioNet? ActioNet is honored to be recognized as a Top Workplace for the twelfth consecutive year (2014-2025), a testament to our unwavering commitment to excellence and innovation. With an impressive 98% customer retention rate, we are driven by the inspiring missions of those we serve. Our dedicated teams are empowered to deliver exceptional results that safeguard the nation's security, enhance public health, and promote overall well-being-because at ActioNet, mission success is personal. At ActioNet, our Passion for Quality is at the heart of everything we do: Commitment to Employees: We are committed to making ActioNet a great place to work and continue to invest in our ActioNeters. Commitment to Customers: We are committed to our customers by driving and sustaining Service Delivery Excellence. Commitment to Community: We are committed to giving back to our community, helping others, and making the world a better place for our next generation. What's in It For You? As an ActioNeter, you get to be part of an exceptional team and a corporate culture that nurtures mutual success for our customers, employees, and communities. We give you the tools to be successful; all you need to do is bring your best ideas, your energy, and a desire to develop your skills, experience, and career. Are you ready to make a difference? ActioNet is an equal-opportunity employer and values diversity at our company. We do not discriminate based on race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. Full-Time Employees are eligible to participate in our ActioNet's Benefits Program: Medical Insurance Vision Insurance Dental Insurance Life and AD&D Insurance 401(k) Savings Plan Education and Professional Training Flexible Spending Accounts (FSA) Employee Referral and Merit Recognition Programs Employee Assistance and Identity Theft Protection Paid Holidays: 11 per year Paid Time Off (PTO) Disability Insurance

Why Join CINQCARE? CINQCARE is a provider-led, community-based health and care partner dedicated to improving the health and well-being of those who need care the most, with a deep commitment to high-needs, urban and rural communities. Our local physicians, nurses, and caregivers work together to serve people and the communities they live in, beyond just treating symptoms. We remove barriers by delivering personalized care as close to home as possible, often in-home, because we know a deep understanding of our patient's race, culture, and environment is critical to delivering improved health outcomes. By empowering patients, providers, and caregivers with the support they need, we strive to make health and care a reality-not a burden-every single day. Join us in creating a better way to care. Position Overview CINQCARE is redefining how health and care are delivered, starting where trust begins: the community. The Senior Healthcare Data Scientist will be a key member of the Analytics & AI team, responsible for designing and delivering advanced machine learning and analytics solutions that directly inform CINQCARE's personalized care programs and outreach. This role blends technical expertise with strategic impact - developing predictive models, managing full model lifecycles, and translating data into actionable insights that guide engagement, care delivery, and organizational decision-making. The Senior Healthcare Data Scientist will also drive innovation by testing emerging techniques and ensuring all solutions meet CINQCARE's standards for equity, fairness, and health impact. Key Responsibilities Design, curate, and maintain analytical datasets by integrating EHRs, claims, engagement data (e.g., Salesforce Health Cloud), third-party SDOH sources, and commercial data (e.g., Neustar, Acxiom). Build, evaluate, and manage predictive models (classification, regression, NLP, time series, survival analysis, agentic modeling) to stratify risk, improve targeting, and predict engagement. Manage the full model lifecycle - from development through deployment, monitoring, retraining, and drift detection - ensuring production reliability. Apply fairness, bias mitigation, and explainability frameworks to ensure models are equitable and trustworthy. Use What-If scenario modeling and simulations to support clinical and business decision-making. Integrate engagement data into continuous feedback loops that refine model performance and responsiveness. Translate complex analyses into clear, compelling stories and insights for clinicians, engagement teams, executives, and community leaders. Develop dashboards, reports, and self-service analytics tools for use across CINQCARE teams. Partner with engineering teams for scalable deployment using modern MLOps practices. Collaborate cross-functionally with clinicians, engagement specialists, and leadership to ensure data science aligns with CINQCARE's purpose and performance priorities. Research, test, and apply emerging methods (e.g., generative AI, causal inference, federated learning) relevant to community-based care and health equity. Required Qualifications Master's or PhD in Data Science, Statistics, Computer Science, Economics, or related quantitative field; Bachelor's with significant applied experience considered. Minimum 7 years of applied data science experience, ideally in healthcare, public health, insurance, or digital health. Demonstrated ability to design, deploy, and manage predictive models in production. Strong expertise in Python, SQL, and ML frameworks (scikit-learn, XGBoost, TensorFlow, PyTorch). Experience with NLP, time series modeling, and advanced MLOps practices. Familiarity with cloud platforms (Azure preferred; AWS/GCP acceptable). Proficiency with visualization tools (Tableau, Power BI, Plotly, Dash). Exceptional communication and data storytelling skills for technical and non-technical stakeholders. Purpose-driven mindset with demonstrated ownership, accountability, and ability to thrive in collaborative, cross-functional teams. Our Benefits At CINQCARE, we care for our team like we care for our patients-holistically. We offer flexible, comprehensive benefits so you can thrive while delivering top-notch care. Medical Plans: Two comprehensive options offered to Team members. 401K: 4% employer match for your future. Dental & Vision: Flexible plans with in-network savings. Paid Time Off: Generous PTO, holidays, and wellness time. Extras: Pet insurance, commuter benefits, mileage reimbursement, CME for providers, and company-provided phones for field staff. The working environment and physical requirements of the job include: In-office work is performed indoors in a traditional office setting with conditioned air, artificial light, and an open workspace. In this position you will need an to communicate with customers, vendors, management, and other co-workers in person and over devices, sometimes with people who are agitated. Regular use of the telephone and e-mail for communication is essential. Sitting for extended periods is common. Must be able to receive ordinary information and to prepare or inspect documents. Lifting of up to 10 lbs. occasionally may be required. Good manual dexterity for the use of common office equipment such as computer terminals, calculator, copiers, and FAX machines. Good reasoning ability is important. Able to understand and utilize management reports, memos, and other documents to conduct business. Equal Opportunity & Reasonable Accommodation Statement CINQCARE is an Equal Opportunity Employer committed to creating an inclusive environment for all employees. We provide equal employment opportunities to all individuals regardless of race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, or any other protected characteristic under applicable law. If you require a reasonable accommodation during the application or employment process, please indicate this in your application or speak with your recruiter during the hiring process. Disclaimer This job description is intended to describe the general nature and level of work being performed. It is not intended to be an exhaustive list of all responsibilities, duties, and skills required. Management reserves the right to modify, add, or remove duties as necessary.

Senior Data Analyst Req ID 002-25 v1.0 HazeGrayCyber, LLC is focused on delivering Cyber Security and Zero Trust Solutions to the US National Defense community and our allies and partners. This position will provide Information and Task Management Support to MCICOM, G-9, and the Marine Corps. Location: Performance will take place at both the Government's facility and the contractor's facility. Travel will be required to conduct on-site IA tasks at Marine Corps Regions/Installations Responsibilities: Uses analytical tools and techniques to extract meaningful insights from data. Identifies relevant data sources, performs data cleansing/analysis, develops data models, uses data visualization software to present findings. Specifically-working in partnership with a Senior Operations Research Analyst and Senior Data Analyst. Collect and normalize data, analyze, and present results of enterprise to individual real property assets or MCICOM Marine Corps programs within the installations portfolios and functions, and provide programmatic, cost, budget, schedule, and technical requirements utilizing descriptive methods, tools, and supporting visualizations. Use analytic tools to combine, analyze, and interpret very large and complex datasets to perform exploratory analyses and develop data-informed organizational solutions. Design, develop, enhance, and support new and existing dashboards and visualizations using the following tools, but not limited to PowerPoint, Tableau, Python, or R to support planning, programming, budget, and execution decisions. Conduct predictive analysis and refine/update models to forecast future infrastructure and installation services requirements and resources to support the Marine Corps Future Force, tenant requirements, and families. Use of operations research techniques and methods, machine learning models, and other predictive analytics tools to identify trends, patterns, and potential future outcomes. Refine the predictive infrastructure model that focuses on lifecycle management including incorporating known funding levels, known facility investment plans (supportive of military construction (both new mission/footprint and recapitalization), restoration and modernization, sustainment, and demolition requirements) and incorporating the Marine Corps' Facility Investment Strategy (FIS). Provide recommendations of optimal investment strategies to support the infrastructure and installation services portfolios. This analysis will include optimization models implementing known or projected investment goals, scenario planning, and the integration of various budgets, real property, and input data (to include but not limited to inflation, metrics, and factors) to support actionable investment recommendations over the Future Years Defense Program (FYDP). Deploy descriptive, predictive and prescriptive infrastructure model into government environment and develop training materials and train government personnel at the Regions/ Installations for use. The following steps outline a Full Enterprise, Readiness Model that meets Full Operational Capability (FOC) to include using advanced analytic software or leverage a Large Language Model (LLM). Build prescriptive infrastructure model in the Government (OSD Advana) Cloud Environment Required Education and Experience 10+ years of experience and BA/BS degree in data science, computer science, engineering, mathematics, operations research or another technical field of study or 5+ years of experience and MA/MS degree in data science, computer science, engineering, mathematics, operations research or another technical field of study Desired Education and Experience 20+ years of specialized experience and a BA/MS degree in data science, computer science, engineering, mathematics, operations research or another technical field of study PhD Desired Desired Certifications Certified Analytics Professional SAS Certified Data Scientist/SAS Certified Professional: AI and Machine Learning/SAS Certified Analytics Professional IBM Data Science Professional Certificate Or other comparable certification programs through Universities or the commercial sector Security US Citizenship Required Ability to obtain and maintain a Government Secret Security Clearance Overseas Performance Requirements Overseas performance and/or travel may be required in Japan, Korea, and/or Guam. NOTE: SPOT requirements will require the use of SPOT for approving SOFA status. HazeGrayCyber, LLC is an Equal Opportunity Employer with a strong commitment to supporting and retaining a diverse and talented workforce. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, or protected veteran status and will not be discriminated against on the basis of disability. HazeGrayCyber, LLC offers competitive compensation and benefits as well as great long-term career opportunities. For more information or to apply, visit our website at ****************************

**This role is based remotely but if you live within a 50-mile radius of an office [Atlanta, Austin, Detroit, Warren, or Mountain View], you are expected to report to that location three times a week, at minimum** . **The Role** The Senior Data Scientist is an internal expert on methodology and practice of marketing analytics. This individual has deep technical expertise in Media Mix Modeling (MMM), with hands-on experience developing custom econometrics and statistical models that quantify media impacts and optimize market investment. The Data Scientist has expertise in the economics of media channels (e.g., Linear/Addressable TV, Online Display, Paid Search, Social), measurement of ROAS lift, coordination of media tactics (sequencing/ frequency caps), and insourcing of off-the-shelf MMM solutions. This person will work closely with GM brand stakeholders to ensure business acceptance of proposed methods, objective performance evaluation, and effective media activation that drives sales. This person will be responsible for developing Media Mix Models, drawing insights, and creating scalable products that identify channel and tactic level high return on investment. Fully qualified individual contributor who has knowledge and understanding of all aspects of a function and exercises independent discretion and judgment on significant matters based on professional knowledge. Level most professionals can expect to achieve in their career. EXPERTISE + Recognized as a fully qualified, experienced professional. Has complete knowledge and full understanding of own area and broad knowledge of related areas. + Takes broad challenges and, through independent professionally developed analysis, identifies and analyses options, and breaks them down into initiatives capable of implementation. Identifies opportunities and proposes solutions to improve internal processes, services, and structures to support functional strategies. + Uses advanced analytical and problem-solving techniques to resolve a wide range of non-standard problems. + Works independently; receives minimal guidance. Acts as a resource for colleagues with less experience. COMPLEXITY + Identifies and devises solutions based on limited information and precedent. Uses evaluation and judgement to solve problems that are new to the organization and require a deep level of experience and strategic thought to create a solution. + Enhances relationships and networks with senior internal/external partners who are not familiar with subject matter and often require persuasion. Uses data and analysis to demonstrate the value of a project, anticipating, and addressing objections and or concerns. + Often effects change in broader functional area without direct exercise of command, using persuasion in situations where reaching agreement may be hindered by differing opinions, past practices, or experiences. SCOPE AND IMPACT + Challenges and problems are of a diverse scope with multiple moving parts, where developing a plan and viewing the whole picture is a significant challenge itself. Work is done independently and is reviewed at critical points. + Owns the development and delivery of solutions, driving cross team and group efforts. Leads by example, taking responsibility for their own actions, acknowledging mistakes, and holding themselves accountable for achieving goals. Addresses and evaluates a diverse range of issues using innovative methods and proposing alternative approaches. + Serves as a mentor to more junior level employees, providing coaching and guidance on difficult issues. + Has significant operational impact across their function. **What You'll Do** + Work on a cross-functional team to propose and implement high-impact, data-driven solutions to address business challenges across a variety of business units + Apply advanced data-driven modeling techniques to inform decision making and solve complex business problems: + Create breakthrough solutions, performing exploratory and targeted data analyses + Undertake preprocessing of structured and unstructured data + Monitor and sustain model effectiveness + Present complex information using data visualization techniques + Work with diverse technical teams and provide data and analytical oversight to ensure project deliverables fulfill business needs and timing + Identify long-term technical innovations while continuously improving execution efficiency + Possessing contextual business knowledge and functional domain expertise in the advertising and media space, showing a proven ability of using data, analytics, and insights to add revenue and business-impacting value in this via audience selection and behavioral engagement. + Deep knowledge of marketing media modeling techniques, including MMM, MTA, unified attribution, ROAS level testing, and various industry measurement media platforms. + Exhibiting a perspective of constrained curiosity, asking why, and suggesting experimentation to drive incremental impact. + Exhibiting the ability to tell a succinct, data-driven story in any forum and tailor delivery to a wide range of stakeholder levels, from analyst to senior executive. + Ensuring a superior level of delivery quality at all levels of their organization through the creation of internal structures and extensible frameworks to manage accountability and develop staff. **Your Skills & Abilities (Required Qualifications)** + Minimum five years of experience developing, deploying, and monitoring performance of media mix or related models + Proficient writing Python/R (modeling) and SQL/Spark (data), working with PYMC, StatsModels, Spark/ML, sklearn, numpy and related packages + Desired expertise media mix modeling (MMM), multi-touch attribution (MTA), consumer choice (multinomial logit), time-series forecasting, hierarchical bayes, panel-data methods (fixed/random effects), censored/truncated regressions, selection models, non-random treatment effects, item response theory, latent class regression + Prior experience with paid, earned, and owned media + Ability to prioritize and manage multiple tasks and projects at once without sacrificing quality **What Can Give You a Competitive Advantage (Preferred Qualifications)** + Advanced degree (M.A./Ph.D. preferred) in Marketing Data Science, Econometrics, Operations Research, Psychometrics, Finance, (Bio) Statistics, or another quantitative field This job is not eligible for relocation benefits. Any relocation costs would be the responsibility of the selected candidate. Compensation: + The expected base compensation for this role is: $130,800 - $211,200. Actual base compensation within the identified range will vary based on factors relevant to the position. + **Bonus Potential:** An incentive pay program offers payouts based on company performance, job level, and individual performance. + **Benefits** : GM offers a variety of health and wellbeing benefit programs. Benefit options include medical, dental, vision, Health Savings Account, Flexible Spending Accounts, retirement savings plan, sickness and accident benefits, life insurance, paid vacation & holidays, tuition assistance programs, employee assistance program, GM vehicle discounts and more. GM DOES NOT PROVIDE IMMIGRATION-RELATED SPONSORSHIP FOR THIS ROLE. DO NOT APPLY FOR THIS ROLE IF YOU WILL NEED GM IMMIGRATION SPONSORSHIP NOW OR IN THE FUTURE. THIS INCLUDES DIRECT COMPANY SPONSORSHIP, ENTRY OF GM AS THE IMMIGRATION EMPLOYER OF RECORD ON A GOVERNMENT FORM, AND ANY WORK AUTHORIZATION REQUIRING A WRITTEN SUBMISSION OR OTHER IMMIGRATION SUPPORT FROM THE COMPANY (e.g., H-1B, OPT, STEM OPT, CPT, TN, J-1, etc.) \#LI-CC1 **About GM** Our vision is a world with Zero Crashes, Zero Emissions and Zero Congestion and we embrace the responsibility to lead the change that will make our world better, safer and more equitable for all. **Why Join Us** We believe we all must make a choice every day - individually and collectively - to drive meaningful change through our words, our deeds and our culture. Every day, we want every employee to feel they belong to one General Motors team. **Benefits Overview** From day one, we're looking out for your well-being-at work and at home-so you can focus on realizing your ambitions. Learn how GM supports a rewarding career that rewards you personally by visiting Total Rewards resources (************************************************************* . **Non-Discrimination and Equal Employment Opportunities (U.S.)** General Motors is committed to being a workplace that is not only free of unlawful discrimination, but one that genuinely fosters inclusion and belonging. We strongly believe that providing an inclusive workplace creates an environment in which our employees can thrive and develop better products for our customers. All employment decisions are made on a non-discriminatory basis without regard to sex, race, color, national origin, citizenship status, religion, age, disability, pregnancy or maternity status, sexual orientation, gender identity, status as a veteran or protected veteran, or any other similarly protected status in accordance with federal, state and local laws. We encourage interested candidates to review the key responsibilities and qualifications for each role and apply for any positions that match their skills and capabilities. Applicants in the recruitment process may be required, where applicable, to successfully complete a role-related assessment(s) and/or a pre-employment screening prior to beginning employment. To learn more, visit How we Hire (********************************************* . **Accommodations** General Motors offers opportunities to all job seekers including individuals with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment, email (Careers.Accommodations@GM.com) us or call us at ************. In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying. We are leading the change to make our world better, safer and more equitable for all through our actions and how we behave. Learn more about: **Our Company (************************************************** **Our Culture** **How we hire (************************************************ Our diverse team of employees bring their collective passion for engineering, technology and design to deliver on our vision of a world with Zero Crashes, Zero Emissions and Zero Congestion. We are looking for adventure-seekers and imaginative thought leaders to help us transform mobility. Explore our global locations (******************************************** We are determined to lead change for the world through technology, ingenuity and harnessing the creativity of our diverse team. Join us to help lead the change that will make our world better, safer and more equitable for all by becoming a member of GM's Talent Community (beamery.com) (*********************************************** . As a part of our Talent Community, you will receive updates about GM, open roles, career insights and more. Please note that filling out the form below will not add you to our Talent Community automatically; you will need to use the link above. If you are seeking to apply to a specific role, we encourage you to click "Apply Now" on the job posting of interest. The policy of General Motors is to extend opportunities to qualified applicants and employees on an equal basis regardless of an individual's age, race, color, sex, religion, national origin, disability, sexual orientation, gender identity/expression or veteran status. Additionally, General Motors is committed to being an Equal Employment Opportunity Employer and offers opportunities to all job seekers including individuals with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment, email us at Careers.Accommodations@GM.com .In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying.

Job DescriptionDescription: Job Title: Senior Data and Wildfire Scientist Terms: Full Time 37.5 Hours Per Week Reports to: Director of Climate Finance About Us: The American Forest Foundation (AFF) unlocks the power of family forests as a climate solution while helping thousands of landowners care for their land and improve forest health. Through its Family Forest Carbon Program, AFF expands access to the voluntary carbon market for family forest owners from all walks of life while producing high quality forest carbon credits to help companies reach their net zero goals. The organization's strategic direction seeks to enable family forests to capture and store one billion tonnes of carbon by 2050. We do not do this alone. AFF works across a broad coalition of conservation partners, corporations, and policymakers to equip family forest owners with financial and technical support to implement sustainable forest management practices on their lands and activate their forests as a critical tool in the fight against climate change. AFF is in a mode of complex problem solving and rapid iteration. All teams at AFF are working to discover solutions to the planet's most pressing climate issues through developing and iterating viable and scalable models for impact. AFF is driven by values of our shared purpose, measurable and verifiable results, and learning for continuous improvement to tackle big conservation challenges. About the Role: The Senior Data and Wildfire Scientist will play a central role in strengthening the scientific and methodological foundations of AFF's programs, particularly the Fire Adapted Forests avoided emissions methodology and the Family Forest Carbon Program (FFCP). This position leverages expertise in data informatics, advanced statistical analysis, and remote sensing to build digital monitoring, reporting, and verification (dMRV) systems that ensure scientific credibility, market alignment, and scalability. The Senior Scientist's will also support AFF's work to better quantify ecosystem co-benefits - including biodiversity, water, and resilience outcomes - alongside carbon benefits, providing holistic and credible accounting of conservation impact. This role is within the Innovation Team of AFF and sits at the intersection of exploratory, data-driving approaches that help AFF achieve interdisciplinary science, methodology, and applied program delivery, helping to ensure AFF remains a leader in family forest climate solutions. Requirements: Responsibilities: Provide leadership for technical and science-based development of new carbon practices, project types, and quantification of co-benefits (including biodiversity, water, and community resilience) to expand AFF's methodologies and program offerings. Lead the development and implementation of risk quantification and mitigation strategies aligned with AFF's climate strategy, with a particular focus on market mechanisms to address wildfire risk and avoided emissions. Design and refine digital monitoring, reporting, and verification (dMRV) frameworks that integrate remote sensing, GIS, informatics, and field data across AFF's practice areas. Analyze large datasets using advanced statistical and geospatial tools to monitor carbon stocks, wildfire emissions avoidance, and ecological change over time. Conduct high-level research on forest carbon dynamics, including sequestration, avoided emissions, and forest health, with direct application to FFCP methodologies. Collaborate with AFF's wildfire, carbon, and science teams to ensure scientific rigor in methodological applications and monitoring frameworks. Support field teams in data collection protocols and provide QA/QC to ensure accuracy and consistency. Prepare grant proposals, scientific papers, reports, and technical documentation to support funding and share outcomes. Engage with external stakeholders - including researchers, standard-setting bodies, and market actors - to represent AFF and advance innovation in carbon accounting and dMRV. Candidate Requirements: Ph.D. or equivalent experience in forest ecology, data science, remote sensing, or related field. Demonstrated expertise in: Remote sensing and GIS applications (satellite, aerial, LiDAR). Advanced statistical analysis, informatics, and/or machine learning. Forest carbon dynamics, wildfire risk modeling, and ecological monitoring. Proven track record in methodological development for carbon accounting or environmental monitoring. Familiarity with carbon markets, ecosystem monitoring, and MRV/dMRV systems. Strong record of scientific publication and ability to communicate results to technical and non-technical audiences. Ability to collaborate effectively across interdisciplinary teams and with external partners. Core Competencies: Agility - Thriving in volatile, uncertain, complex and ambiguous environments by anticipating and responding to changes with swift, focused and flexible actions. Collaborating with Others - Working together with others in a cooperative and supportive manner to achieve shared goals. Ensuring Accountability - Holding yourself and others to high standards of accountability, creating an infrastructure and transparent organization culture that supports and measures personal and organizational responsibility and accountability. Problem Solving - Identifying problems and the solutions to them. Your contributions and leadership will be appreciated. Our staff is passionate, dedicated and good at what they do, and will be deeply grateful for your efforts to create and preserve an environment that is both fun and fair. Job Function Competencies: Scientific Rigor - Ability to design and implement methods that withstand peer and market scrutiny. Data-Driven Analysis - Skilled at managing large, complex datasets and generating actionable insights. Innovation - Applies creative approaches to methodological development and co-benefit quantification. Communication - Able to translate technical outputs into accessible insights for funders, landowners, and partners. What's attractive to the right candidate?: You have the unique and exciting opportunity to work with amazing colleagues, partners and landowners to help connect forest landowners with technical and financial assistance to better steward their land and achieve vital landscape-scale conservation impacts. Your contributions and leadership will be appreciated. Our staff is passionate, dedicated and good at what they do, and will be deeply grateful for your efforts to create and preserve an environment that is both fun and fair. We offer a flexible work environment that respects your life outside of work. Salary is commensurate with experience. AFF offers a comprehensive and competitive benefits package. Contact us to apply We know there are great candidates who may not check all these boxes, and we also know you might bring important skills that we haven't considered. If that applies to you, don't hesitate to apply and tell us about yourself. **************************************************** We are committed to creating a diverse work environment and proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, veteran status or any other basis protected by law.

Who We Are Marketbridge is a growth consulting and marketing firm dedicated to helping modern leaders accelerate performance with no signal loss from strategy through execution. We combine management consultancy with marketing agency expertise, all backed by marketing science, creative problem-solving, and technological know-how. Our integrated approach brings together teams, technology, data, strategies, processes, and plans to fuel sustainable revenue growth and build deeper, more resonant customer relationships. We partner with some of the world's largest and most ambitious brands, providing innovative solutions that drive commercial agility and long-term success. Who We're Looking For Marketbridge is looking for a Data Scientist to support program strategy and execution to help clients improve their marketing and sales outcomes. The Data Scientist will be part of a project team and play a key role in helping our clients measure marketing's effectiveness and optimize marketing mix to drive results. You will quickly work with clients to solve some of their most pressing problems, leveraging a variety of tools and methods including quantitative analysis, model development, and market research. Responsibilities Model Development: Investigate, suggest, and attempt new model builds including Marketing Mix Models (MMM) and Multi-Touch Attribution (MTA) Project and Client Management: Communicate with clients regarding data outputs, create technical slides for project deliverables, and flag roadblocks that may impede on-time delivery Internal Collaboration: Participate in brainstorms and troubleshooting, partner with Lead Data Scientist and Project Manager to outline modeling approach and data sources, and support and mentor junior Analysts Qualifications This position is for those with significant analytics experience who are looking for an opportunity to use data, research, and best practices to help improve clients' sales and marketing strategies while increasing the responsibility and autonomy over their workstreams. We are looking for someone who: Has 2+ years of experience in data-driven consulting, market research, and data science Has a background in highly quantitative hard sciences (advanced math, computer science, or economics) or highly quantitative social sciences Is comfortable using big or small data environments to answer questions and then develop an overall story about what the analysis means Can integrate stimulus, response, and control data from a variety of sources including agencies, internal systems, and technology platforms Has experience in econometric techniques, including panel data, ridge regression, and multiple functional forms as well as machine learning techniques Demonstrates strong coding skills in R and/or Python, including data munging Is adept at creating reproducible deliverables (Rmarkdown, notebooks, etc.) Has experience with version control (git, github, etc.) and modern data storage (MapReduce, Spark) Note: This position requires the ability to work in the United States without visa sponsorship. MarketBridge is an Equal Opportunity Employer. The ideal candidate will: Can balance multiple projects at one time, under tight deadlines Has excellent written and oral communication, presentation, and analytical skills Is extremely conscientious, with a strong attention to detail and excellent organizational skills Be proactive and start projects with little prodding Our Culture At Marketbridge, we pride ourselves on fostering an entrepreneurial culture filled with intellectually curious, high-spirited individuals committed to making a tangible impact each day. We value our people as our greatest asset, offering a workplace where high performers are acknowledged and rewarded. Working here means joining a team of the brightest minds in the industry, in an environment that champions professional growth and development through a mix of personal initiatives and company-supported learning. We believe in empowering our employees to own their career paths, supported by management guidance and organizational resources. We are proud to have been named one of The Washington Post's 2024 Top Workplaces in the Washington, D.C. area! We provide a benefits experience centered around wellness. It is important to us that every Marketbridger feels cared for and valued. Industry competitive compensation and performance-based bonuses Generous paid time off including vacation, holidays, sick leave, maternity/paternity leave, and Friday Summer hours A wide array of healthcare options including medical, dental, and vision coverage 401(k) savings plan with company match Marketbridge-led Social Committee Referral bonus program Mentor program for new hires This role is a hybrid role based out of our Bethesda, MD office. The salary range for this role is $100,000-$125,000 with an eligible annual bonus of up to 15%.

Washington, DC (Hybrid) About the Role: We are looking for a highly motivated Data Scientist with a strong background in applied machine learning and AI to join our growing team. In this role, you will be a key contributor to the development of core AI/ML solutions that power our platform. You will collaborate closely with product and engineering teams, applying state-of-the-art techniques to solve complex challenges, advance our use of large language models (LLMs), and ensure scalable, production-ready solutions. Key Responsibilities: * Leverage 5+ years of experience in data science to design, implement, and optimize machine learning models and pipelines. * Develop, fine-tune, and evaluate large language models (LLMs) for a variety of applications, ensuring accuracy, performance, and robustness. * Collaborate with engineering and product teams to integrate AI/ML solutions into our platform in a scalable and maintainable way. * Conduct applied research, staying current on advances in LLMs, generative AI, and data science methodologies, and translate them into practical solutions. * Build end-to-end workflows, from data exploration and feature engineering to training, validation, deployment, and monitoring in production. * Apply modern containerization and orchestration techniques (e.g., Docker, Kubernetes) to support reproducible experimentation and deployment. * Work with cloud platforms (e.g., Databricks, AWS, GCP, Azure) to manage data pipelines, large-scale training jobs, and distributed systems. * Collaborate across teams to ensure our AI capabilities align with platform goals and business needs. Qualifications: * 5+ years of experience as a Data Scientist or Machine Learning Engineer, with proven success in deploying models to production. * Hands-on experience with large language models (LLMs); fine-tuning experience strongly preferred. * Strong background in Python and ML frameworks such as PyTorch or TensorFlow. * Proficiency in containerization and orchestration technologies (Docker, Kubernetes). * Experience with cloud platforms and ML ecosystems (Databricks, AWS, GCP, Azure). * Familiarity with MLOps best practices, including model deployment, monitoring, and CI/CD for ML. * Strong analytical and problem-solving skills, with the ability to translate research into production-ready solutions. * Excellent communication and collaboration skills, with the ability to work effectively across product, engineering, and leadership teams. * A proactive, self-starter mindset with a passion for applied research and innovation.

Clearance Level Required: Requires a Top Secret (TS/SCI) Clearance with a Polygraph. The Mission: Square Peg Technologies is looking for data scientists who enjoy leveraging large sets of data to tell stories. In this role, you will apply modern machine and deep learning approaches to import, clean, transform and model data that supports our nation's core intelligence decision-makers. You will be responsible for designing or presenting conclusions gained from analyzing data using statistical tools like Tableau, Python, R and others. Basic Qualifications Work as the lead data strategist, identifying and integrating new datasets that can be leveraged through our product capabilities and work closely with the engineering team to strategize and execute the development of data products Execute analytical experiments methodically to help solve various problems and make a true impact across various domains and industries Research and devise innovative statistical models for data analysis Communicate findings to all stakeholders Enable smarter business processes-and implement analytics for meaningful insights Identify relevant data sources and sets to mine for client business needs, and collect large structured and unstructured datasets and variables Devise and utilize algorithms and models to mine big data stores, perform data and error analysis to improve models, and clean and validate data for uniformity and accuracy Analyze data for trends and patterns, and Interpret data with a clear objective in mind Implement analytical models into production by collaborating with software developers and machine learning engineers. Preferred Qualifications Bachelor's degree in statistics, applied mathematics, or related discipline 2+ years experience in data science Proficiency in data mining, mathematics, and statistical analysis Advanced pattern recognition and predictive modeling experience Experience with Excel, PowerPoint, Tableau, SQL, and programming languages (i.e., Java/Python, SAS) Master's degree in stats, applied math, or related discipline Square Peg Technologies Company Information Square Peg Technologies is a boutique technology consulting firm that specializes in data solutions using the latest technologies in analytics, data science, data engineering, and data management. Our mission is to develop and integrate cutting-edge technology solutions that inspire our customers to push the fields of science and technology forward. Here at Square Peg, you will not get lost in a crowd. We value each person's contribution, celebrate wins together, and invest in the personal and professional development of our employees. Along with a strong positive culture that allows employees to thrive and grow, we also offer top-notch benefits including a large amount of vacation, annual bonuses, 401k matching, paid training, and 100% health care coverage. At Square Peg Tech, we aim to be at the forefront of technology and innovation. Our ideal candidate must be forward-leaning and eager to engage with customers, academia, and industry leaders on the future applications of AI/ML, as well as best practices in advanced analytics. With a firm footprint in the Intelligence Community, Square Peg Tech is looking to expand its capabilities into the Department of Defense, NASA, and other prominent government agencies.

Virtualitics, Inc. is an advanced analytics company that helps enterprises and governments make smarter business decisions, faster with ready-to-use AI that can be understood-by analysts and business leaders alike. Our AI platform allows organizations to rapidly process complex data into powerful multi-dimensional graph visualizations, and predict future business outcomes with clear, explainable no-code AI modeling. Virtualitics puts AI into use across the enterprise with enhanced analytics that's easily integrated into the flow of work. Our patented technology is based on over 11 years of research at the California Institute of Technology and NASA Jet Propulsion Laboratory. The platform has been deployed across Department of Defense agencies, Federal Civilian agencies, and Fortune 500 companies. We're proud to have been recently named as one of the Air Force's "big bets" on emerging technology and Built In's top companies to work for in 2022! Our fast-growing team is looking for a skilled, motivated and reliable Data Scientist TS/SCI to help grow our company. What you'll do Use the capabilities of the Virtualitics AI Platform to deploy production solutions for our customers. Work with customer data and own the development of an AI solution from ideation to production Leverage integrations with big data frameworks (e.g. Databricks) as needed to develop solutions for customers. Your qualifications Must have an active TS/SCI security clearance and be willing to work from an SCIF. Must be located in or near Washington DC/Northern Virginia to be able to access relevant SCIFs. Regular travel anticipated to client sites/military bases. Degree in Computer Science. 3+ years of experience writing production-ready code in Python. 3+ years of experience with Python Data Stack: pandas, numpy, sklearn, TensorFlow, PyTorch, matplotlib, etc. 1 year of experience deploying a machine learning model in a production environment. 1-2 years of experience with SQL/NoSQL or other database systems (elasticsearch, graph databases, etc.). 3 years of experience with Git (or an alternative version control tool). 1 year of Experience with Docker and/or Kubernetes. A strong sense of ownership and accountability. Excellent written and verbal communication skills in English Pluses Demonstrated experience in leading the development efforts for a project from a SCIF. Experience with Cyber Analytics, PCAP and network monitoring, CVEs and Cyber Vulnerabilities, etc. 1 year of experience integrating applications with at least one of Spark, Dask, Snowpark or Kafka. 1 year of experience with technologies like task schedulers (e.g. Celery, Airflow, Prefect, etc.) and web-app development stacks (e.g. Flask/Django) You will be required to obtain and maintain an interim and/or final security clearance. Failure to obtain and maintain the required level of clearance may result in the withdrawal of a job offer or removal. What We Offer You We are a team of ambitious individuals who are passionate about creating a revolutionary software company. At Virtualitics, you will have a significant career development opportunity and a chance to contribute to one of the fastest-growing startups in Southern California. Our benefits include highly competitive pay, equity, fully paid health, vision, and dental insurance for you + your dependents, and unlimited PTO. Virtualitics is committed to building a company where every individual can bring their full impact and reach their fullest potential. Our mission is to build a diverse and inclusive environment where talented people of all cultures, ages, perspectives, opinions, education, backgrounds, races, gender identity, religions, orientations, abilities, and beliefs can grow and thrive with Virtualitics.

**_What Data Science contributes to Cardinal Health_** The Data & Analytics Function oversees the analytics life-cycle in order to identify, analyze and present relevant insights that drive business decisions and anticipate opportunities to achieve a competitive advantage. This function manages analytic data platforms, the access, design and implementation of reporting/business intelligence solutions, and the application of advanced quantitative modeling. Data Science applies base, scientific methodologies from various disciplines, techniques and tools that extracts knowledge and insight from data to solve complex business problems on large data sets, integrating multiple systems. At Cardinal Health's Artificial Intelligence Center of Excellence (AI CoE), we are pushing the boundaries of healthcare with cutting-edge Data Science and Artificial Intelligence (AI). Our mission is to leverage the power of data to create innovative solutions that improve patient outcomes, streamline operations, and enhance the overall healthcare experience. We are seeking a highly motivated and experienced Senior Data Scientist to join our team as a thought leader and architect of our AI strategy. You will play a critical role in fulfilling our vision through delivery of impactful solutions that drive real-world change. **_Responsibilities_** + Lead the Development of Innovative AI solutions: Be responsible for designing, implementing, and scaling sophisticated AI solutions that address key business challenges within the healthcare industry by leveraging your expertise in areas such as Machine Learning, Generative AI, and RAG Technologies. + Develop advanced ML models for forecasting, classification, risk prediction, and other critical applications. + Explore and leverage the latest Generative AI (GenAI) technologies, including Large Language Models (LLMs), for applications like summarization, generation, classification and extraction. + Build robust Retrieval Augmented Generation (RAG) systems to integrate LLMs with vast repositories of healthcare and business data, ensuring accurate and relevant outputs. + Shape Our AI Strategy: Work closely with key stakeholders across the organization to understand their needs and translate them into actionable AI-driven or AI-powered solutions. + Act as a champion for AI within Cardinal Health, influencing the direction of our technology roadmap and ensuring alignment with our overall business objectives. + Guide and mentor a team of Data Scientists and ML Engineers by providing technical guidance, mentorship, and support to a team of skilled and geographically distributed data scientists, while fostering a collaborative and innovative environment that encourages continuous learning and growth. + Embrace a AI-Driven Culture: foster a culture of data-driven decision-making, promoting the use of AI insights to drive business outcomes and improve customer experience and patient care. **_Qualifications_** + 8-12 years of experience with a minimum of 4 years of experience in data science, with a strong track record of success in developing and deploying complex AI/ML solutions, preferred + Bachelor's degree in related field, or equivalent work experience, preferred + GenAI Proficiency: Deep understanding of Generative AI concepts, including LLMs, RAG technologies, embedding models, prompting techniques, and vector databases, along with evaluating retrievals from RAGs and GenAI models without ground truth + Experience working with building production ready Generative AI Applications involving RAGs, LLM, vector databases and embeddings model. + Extensive knowledge of healthcare data, including clinical data, patient demographics, and claims data. Understanding of HIPAA and other relevant regulations, preferred. + Experience working with cloud platforms like Google Cloud Platform (GCP) for data processing, model training, evaluation, monitoring, deployment and support preferred. + Proven ability to lead data science projects, mentor colleagues, and effectively communicate complex technical concepts to both technical and non-technical audiences preferred. + Proficiency in Python, statistical programming languages, machine learning libraries (Scikit-learn, TensorFlow, PyTorch), cloud platforms, and data engineering tools preferred. + Experience in Cloud Functions, VertexAI, MLFlow, Storage Buckets, IAM Principles and Service Accounts preferred. + Experience in building end-to-end ML pipelines, from data ingestion and feature engineering to model training, deployment, and scaling preferred. + Experience in building and implementing CI/CD pipelines for ML models and other solutions, ensuring seamless integration and deployment in production environments preferred. + Familiarity with RESTful API design and implementation, including building robust APIs to integrate your ML models and GenAI solutions with existing systems preferred. + Working understanding of software engineering patterns, solutions architecture, information architecture, and security architecture with an emphasis on ML/GenAI implementations preferred. + Experience working in Agile development environments, including Scrum or Kanban, and a strong understanding of Agile principles and practices preferred. + Familiarity with DevSecOps principles and practices, incorporating coding standards and security considerations into all stages of the development lifecycle preferred. **_What is expected of you and others at this level_** + Applies advanced knowledge and understanding of concepts, principles, and technical capabilities to manage a wide variety of projects + Participates in the development of policies and procedures to achieve specific goals + Recommends new practices, processes, metrics, or models + Works on or may lead complex projects of large scope + Projects may have significant and long-term impact + Provides solutions which may set precedent + Independently determines method for completion of new projects + Receives guidance on overall project objectives + Acts as a mentor to less experienced colleagues **Anticipated salary range:** $121,600 - $173,700 **Bonus eligible:** Yes **Benefits:** Cardinal Health offers a wide variety of benefits and programs to support health and well-being. + Medical, dental and vision coverage + Paid time off plan + Health savings account (HSA) + 401k savings plan + Access to wages before pay day with my FlexPay + Flexible spending accounts (FSAs) + Short- and long-term disability coverage + Work-Life resources + Paid parental leave + Healthy lifestyle programs **Application window anticipated to close:** 11/05/2025 *if interested in opportunity, please submit application as soon as possible. The salary range listed is an estimate. Pay at Cardinal Health is determined by multiple factors including, but not limited to, a candidate's geographical location, relevant education, experience and skills and an evaluation of internal pay equity. _Candidates who are back-to-work, people with disabilities, without a college degree, and Veterans are encouraged to apply._ _Cardinal Health supports an inclusive workplace that values diversity of thought, experience and background. We celebrate the power of our differences to create better solutions for our customers by ensuring employees can be their authentic selves each day. Cardinal Health is an Equal_ _Opportunity/Affirmative_ _Action employer. All qualified applicants will receive consideration for employment without regard to race, religion, color, national origin, ancestry, age, physical or mental disability, sex, sexual orientation, gender identity/expression, pregnancy, veteran status, marital status, creed, status with regard to public assistance, genetic status or any other status protected by federal, state or local law._ _To read and review this privacy notice click_ here (***************************************************************************************************************************

QxBranch delivers predictive analytics solutions leveraging the emerging potential of Quantum Computing. To make high-stakes, complex business decisions, you must have confidence in the underlying insights and predictions. But how sure can you be when those predictions are based on a proverbial “black box”? That's why QxBranch Predictive Analytics solutions feature transparent data science, providing confidence in each prediction. To build Predictive Analytics solutions that endure, you must respond to changes in business concepts, market needs, and the underpinning technologies that deliver insights. QxBranch uses modern, adaptable data analytics tooling that can address your needs today, and is a leader in Quantum Computing software and applications that will enhance your solutions tomorrow. QxBranch is headquartered in Washington, DC, with offices in London, UK and Adelaide, Australia. Our clients include insurance, investment banks, pharmaceutical, and oil and gas organizations. Job Description QxBranch is seeking a talented data scientist with a background in machine learning and taking data science solutions through to production. The successful applicant will be invited to join our welcoming, diverse team in Washington DC and work on innovative solutions to diverse problems. The role will require you to interact with clients and collaborate with QxBranch's passionate team of data scientists and systems engineers, shaping data analytics solutions to meet client needs. Responsibilities: Prototype, develop, and deploy complex analytics models for client systems Organize, manage, and curate large and complex datasets Work in an internationally distributed team, with schedule flexibility Deliver high quality technical outcomes while adhering to cost and schedule constraints Continue technical and professional development to ensure QxBranch technology remains on the cutting edge Qualifications Education and Experience: Proficiency in Python and common machine learning packages such as scikit-learn, NLTK, and Theano Competence in all portions of the data analytics pipeline, including ingest, cleaning, feature extraction, modeling, statistical validation, and visualization / reporting Competence in software development practices including writing maintainable code, unit testing, version control, cloud-based development and performance profiling and tuning Bachelor of Science or higher in engineering, science, or mathematics, with specializations related to computer science preferred Minimum of 4 to 6 years relevant experience, including internships, part-time positions, and graduate level education Desired Skills: Expertise in one or more of: natural language processing, probabilistic modeling, time series analysis, anomaly detection, deep learning, behavioral analysis, causal analysis Strong data visualization and data "storytelling" skills Analytics experience in finance, insurance, and/or cyber security Proficiency in other analytics technologies, such as R, SQL, CUDA, Hadoop, and Spark Experience with Dataiku's Data Science Studio Additional Information QxBranch is committed to ensuring that all of its US employees are legally eligible to be employed in the United States and refrains from discriminating against individuals on the basis of national origin or citizenship. Within three (3) days of being hired, QxBranch requires each employee submit a Form I-9 and utilizes E-Verify to confirm employment eligibility.

Clearance Level Required: Requires a Top Secret (TS/SCI) Clearance with a Polygraph. The Mission: Square Peg Technologies is looking for data scientists who enjoy leveraging large sets of data to tell stories. In this role, you will apply modern machine and deep learning approaches to import, clean, transform and model data that supports our nation's core intelligence decision-makers. You will be responsible for designing or presenting conclusions gained from analyzing data using statistical tools like Tableau, Python, R and others. Basic Qualifications Work as the lead data strategist, identifying and integrating new datasets that can be leveraged through our product capabilities and work closely with the engineering team to strategize and execute the development of data products Execute analytical experiments methodically to help solve various problems and make a true impact across various domains and industries Research and devise innovative statistical models for data analysis Communicate findings to all stakeholders Enable smarter business processes-and implement analytics for meaningful insights Identify relevant data sources and sets to mine for client business needs, and collect large structured and unstructured datasets and variables Devise and utilize algorithms and models to mine big data stores, perform data and error analysis to improve models, and clean and validate data for uniformity and accuracy Analyze data for trends and patterns, and Interpret data with a clear objective in mind Implement analytical models into production by collaborating with software developers and machine learning engineers. Preferred Qualifications Bachelor's degree in statistics, applied mathematics, or related discipline 2+ years experience in data science Proficiency in data mining, mathematics, and statistical analysis Advanced pattern recognition and predictive modeling experience Experience with Excel, PowerPoint, Tableau, SQL, and programming languages (i.e., Java/Python, SAS) Master's degree in stats, applied math, or related discipline Square Peg Technologies Company Information Square Peg Technologies is a boutique technology consulting firm that specializes in data solutions using the latest technologies in analytics, data science, data engineering, and data management. Our mission is to develop and integrate cutting-edge technology solutions that inspire our customers to push the fields of science and technology forward. Here at Square Peg, you will not get lost in a crowd. We value each person's contribution, celebrate wins together, and invest in the personal and professional development of our employees. Along with a strong positive culture that allows employees to thrive and grow, we also offer top-notch benefits including a large amount of vacation, annual bonuses, 401k matching, paid training, and 100% health care coverage. At Square Peg Tech, we aim to be at the forefront of technology and innovation. Our ideal candidate must be forward-leaning and eager to engage with customers, academia, and industry leaders on the future applications of AI/ML, as well as best practices in advanced analytics. With a firm footprint in the Intelligence Community, Square Peg Tech is looking to expand its capabilities into the Department of Defense, NASA, and other prominent government agencies.

At Navista, our mission is to empower community oncology practices to deliver patient-centered cancer care. Navista, a Cardinal Health company, is an oncology practice alliance co-created with oncologists and practice leaders that offers advanced support services and technology to help practices remain independent and thrive. True to our name, our experienced team is passionate about helping oncology practices navigate the future. We are seeking an innovative and highly skilled **Senior Data Scientist** with specialized expertise in Generative AI (GenAI), Large Language Models (LLMs), and Agentic Systems to join the Navista - Data & Advanced Analytics team supporting the growth of our Navista Application Suite and the Integrated Oncology Network (IoN). In this critical role, you will be at the forefront of designing, developing, and deploying advanced AI solutions that leverage the power of generative models and intelligent agents to transform our products and operations. You will be responsible for pushing the boundaries of what's possible, from foundational research to production-ready applications, working with diverse datasets and complex problem spaces, particularly within the oncology domain. The ideal candidate will possess a deep theoretical understanding and practical experience in building, fine-tuning, and deploying LLMs, as well as architecting and implementing agentic frameworks. You will play a key role in shaping our AI strategy, mentoring junior team members, and collaborating with cross-functional engineering and product teams to bring groundbreaking AI capabilities to life, including developing predictive models from complex, often unstructured, oncology data. **_Responsibilities_** + **Research & Development:** Lead the research, design, and development of novel Generative AI models and algorithms, including but not limited to LLMs, diffusion models, GANs, and VAEs, to address complex business challenges. + **LLM Expertise:** Architect, fine-tune, and deploy Large Language Models for various applications such as natural language understanding, generation, summarization, question-answering, and code generation, with a focus on extracting insights from unstructured clinical and research data. + **Agentic Systems Design:** Design and implement intelligent agentic systems capable of autonomous decision-making, planning, reasoning, and interaction within complex environments, leveraging LLMs as core components. + **Predictive Modeling:** Develop and deploy advanced predictive models and capabilities using both structured and unstructured data, particularly within the oncology space, to forecast outcomes, identify trends, and support clinical or commercial decision-making. + **Prompt Engineering & Optimization:** Develop advanced prompt engineering strategies and techniques to maximize the performance and reliability of LLM-based applications. + **Data Strategy for GenAI:** Work with data engineers to define and implement data collection, preprocessing, and augmentation strategies specifically tailored for training and fine-tuning generative models and LLMs, including techniques for handling and enriching unstructured oncology data (e.g., clinical notes, pathology reports). + **Model Evaluation & Deployment:** Develop robust evaluation metrics and methodologies for generative models, agentic systems, and predictive models. Oversee the deployment, monitoring, and continuous improvement of these models in production environments. + **Collaboration & Leadership:** Collaborate closely with machine learning engineers, software engineers, and product managers to integrate AI solutions into our products. Provide technical leadership and mentorship to junior data scientists. + **Innovation & Thought Leadership:** Stay abreast of the latest advancements in GenAI, LLMs, and agentic AI research. Proactively identify new opportunities and technologies that can enhance our capabilities and competitive advantage. + **Ethical AI:** Ensure the responsible and ethical development and deployment of AI systems, addressing potential biases, fairness, and transparency concerns. **_Qualifications_** + 8-12 years of experience as a Data Scientist or Machine Learning Engineer, with a significant focus on deep learning and natural language processing, preferred + Bachelor's degree in related field, or equivalent work experience, preferred + Proven hands-on experience with Generative AI models (e.g., Transformers, GANs, VAEs, Diffusion Models) and their applications. + Extensive experience working with Large Language Models (LLMs), including fine-tuning, prompt engineering, RAG (Retrieval Augmented Generation), and understanding various architectures (e.g., GPT, Llama, BERT, T5). + Demonstrated experience in designing, building, and deploying agentic systems or multi-agent systems, including concepts like planning, reasoning, and tool use. + Strong experience working with unstructured data, particularly in the oncology domain (e.g., clinical notes, pathology reports, genomic data, imaging reports), and extracting meaningful features for analysis. + Demonstrated ability to create and deploy predictive capabilities and models from complex datasets, including those with unstructured components. + Proficiency in Python and deep learning frameworks such as PyTorch or TensorFlow. + Experience with relevant libraries and tools (e.g., Hugging Face Transformers, LangChain, LlamaIndex). + Strong understanding of machine learning fundamentals, statistical modeling, and experimental design. + Experience with at least one cloud platforms ( GCP, Azure) for training and deploying large-scale AI models. + Excellent problem-solving skills, with the ability to tackle complex, ambiguous problems and drive solutions. + Strong communication and presentation skills, capable of explaining comp + Experience in the healthcare or life sciences industry, specifically with oncology data and research, highly preferred + Experience with MLOps practices for deploying and managing large-scale AI models, highly preferred + Familiarity with distributed computing frameworks (e.g., Spark, Dask), highly preferred + Experience contributing to open-source AI projects, highly preferred **_What is expected of you and others at this level_** + Applies advanced knowledge and understanding of concepts, principles, and technical capabilities to manage a wide variety of projects + Participates in the development of policies and procedures to achieve specific goals + Recommends new practices, processes, metrics, or models + Works on or may lead complex projects of large scope + Projects may have significant and long-term impact + Provides solutions which may set precedent + Independently determines method for completion of new projects + Receives guidance on overall project objectives + Acts as a mentor to less experienced colleagues **Anticipated salary range:** $123,400 - $176,300 **Bonus eligible:** Yes **Benefits:** Cardinal Health offers a wide variety of benefits and programs to support health and well-being. + Medical, dental and vision coverage + Paid time off plan + Health savings account (HSA) + 401k savings plan + Access to wages before pay day with my FlexPay + Flexible spending accounts (FSAs) + Short- and long-term disability coverage + Work-Life resources + Paid parental leave + Healthy lifestyle programs **Application window anticipated to close:** 02/15/2026 *if interested in opportunity, please submit application as soon as possible. The salary range listed is an estimate. Pay at Cardinal Health is determined by multiple factors including, but not limited to, a candidate's geographical location, relevant education, experience and skills and an evaluation of internal pay equity. \#LI-Remote _Candidates who are back-to-work, people with disabilities, without a college degree, and Veterans are encouraged to apply._ _Cardinal Health supports an inclusive workplace that values diversity of thought, experience and background. We celebrate the power of our differences to create better solutions for our customers by ensuring employees can be their authentic selves each day. Cardinal Health is an Equal_ _Opportunity/Affirmative_ _Action employer. All qualified applicants will receive consideration for employment without regard to race, religion, color, national origin, ancestry, age, physical or mental disability, sex, sexual orientation, gender identity/expression, pregnancy, veteran status, marital status, creed, status with regard to public assistance, genetic status or any other status protected by federal, state or local law._ _To read and review this privacy notice click_ here (***************************************************************************************************************************