Overview: BigBear.ai is seeking a Data Scientist to conduct data analytics, data engineering, data mining, exploratory analysis, predictive analysis, and statistical analysis using scientific techniques to correlate data into graphical, written, visual, and verbal narrative products to enable more informed analytic decisions. What we'd like you to have:
Washington, Washington, DC13 days ago
Overview: BigBear.ai is seeking a Senior Data Scientist to conduct data analytics, data engineering, data mining, exploratory analysis, predictive analysis, and statistical analysis using scientific techniques to correlate data into graphical, written, visual, and verbal narrative products to enable more informed analytic decisions. The successful candidate should be skilled in data visualization and use of graphical applications, including Microsoft Office (Power BI) and Tableau; major data science languages, such as R and Python; managing and merging of disparate data sources, preferably through R, Python, or SQL; statistical analysis; and data mining algorithms.
This role owns complex, ambiguous problems from discovery to production deployment, drive technical excellence across the team, and mentor data scientists while partnering with engineering, product, and clinical leaders to deliver measurable outcomes for Medicare Advantage members. Architect end-to-end AI/ML solutions for complex healthcare challenges (35%): Design and deliver production-grade machine learning systems for high-stakes applications including risk stratification, clinical decision support, autonomous chart review, and fraud detection.
li>Relevant professional certifications are preferred, but not required, and may include Certified Fraud Examiner (CFE), Certified Public Accountant (CPA), Certified Internal Auditor (CIA), Certified Information Systems Auditor (CISA), Certified in Financial Forensics (CFF), or recognized analytics and business intelligence platform certifications. - Support audit and oversight teams by performing data acquisition, cleaning, normalization, profiling, exploratory analysis, statistical testing, risk scoring, control testing support, exception reporting, dashboard development, and preparation of analytic documentation suitable for inclusion in audit workpapers and reports.
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. Work with cloud platforms (e.g., Databricks, AWS, GCP, Azure) to manage data pipelines, large-scale training jobs, and distributed systems.
p>Yext (NYSE: YEXT) is the leading brand visibility platform, built for a world where discovery and engagement happen everywhere across AI search, traditional search, social media, websites, and direct communications. Past experience with agentic programming tools such as Claude Code, Codex, AMP, Cursor, or Google Antigravity; familiarity with working in a Console environment and using version control systems like Github.
li>1) personal information such as name, address, contact information;2) education;3) detailed work experience related to this position as described in the major duties including work schedule, hours worked per week, dates of employment; title, series, grade (if applicable); 4) all supervisors' phone numbers and if they may be contacted; and 5) starting and ending dates of employment (month and year); 6) salary; 7) information about honors, awards, and special accomplishments.
TQ 2: Demonstrated executive-level expertise in architecting enterprise data platforms, leading cloud modernization initiatives, and directing large-scale data-engineering ecosystems that enable and strengthen regulatory and scientific decision-making across the organization.
Washington, District of Columbia8 days ago
cFocus Software seeks a Python (Mission) Data Scientist to join our program supporting the Defense Intelligence Agency (DIA). Master's degree in Data Science, Statistics, Mathematics, or related field with 4-12+ years of experience in data science.
Washington, DC30+ days ago
Benefits: At Makpar Corporation we understand that we all need to balance work and life - that is why we have a great benefits package, excellent training and career development opportunities, flexible work schedules along with a generous compensation package. This role requires expertise in AI/ML development, Python, and advanced analytics to guide teams and deliver enterprise-level analytics solutions.
For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. Partner with engineering, People Operations, Legal, Privacy, Security, and People Systems teams to recommend and evaluate mitigations such as data improvements, model changes, threshold adjustments, workflow redesign, monitoring controls, and additional human oversight.
Dc, Washington21 days ago
This role requires the ability to frame complex problems, select appropriate modeling approaches, implement and validate models, and communicate results in accessible terms to non-technical audiences. We have a career opportunity for a Machine Learning / Data Scientist to develop advanced analytical models and experiments that enhance decision-making, improve forecasting, and uncover insights across mission and support activities.
Washington, DC30+ days ago
The Data Scientist will work closely with the Director - Credit Analytics and key stakeholders in the Credit, Finance, and Enterprise Risk Management departments, as well as Farmer Mac's Business Lines to evaluate the performance of existing credit models and develop new models for Farmer Mac's agricultural real estate and corporate loan portfolios. The Data Scientist - Credit Analytics will be an integral part of the Credit Analytics team, reporting directly to the Director - Credit Analytics, and working closely with the Credit team and key stakeholders in Finance, Enterprise Risk Management, and the Business Line.
cFocus Software seeks a Python (Mission) Data Scientist to join our program supporting the Defense Intelligence Agency (DIA). Master's degree in Data Science, Statistics, Mathematics, or related field with 4-12+ years of experience in data science.
What you need to have Must possess a TS/SCI clearance with a CI poly (or ability to obtain) Bachelor's degree in data science, data engineering, mathematics, or another related field Minimum of 3 years of experience conducting analysis using data science or engineering (an additional 4 years of experience may be substituted for the above education requirements) Deep understanding and experience using Python and/or R Prior experience with large data, multi-INT analytics, machine learning, and automated predictive analytics. What wed like you to have Current CI poly Master's degree in data science, data engineering, mathematics, or another related field At least 8 years of experience conducting analysis using data science or engineering, with at least a portion of experience within the last 2 years Experience working on creating products for Object Based Intelligence purposes Experience within the DoW and/or US Intelligence Community.
Washington, DC30+ days ago
This role will lead the development and implementation of advanced data science algorithms, machine learning models, and sophisticated data visualizations to solve complex analytic challenges for the mission, with a particular focus on improving data comprehension and driving data-driven decision-making processes. Responsibilities:Lead efforts to process large structured and unstructured datasets, developing and operationalizing data models, advanced analytic tools, and applications that optimize decision-making and enhance analytic throughput.