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:
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>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.
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.
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.
You are not shy about taking on new work you may not have done before while eagerly building machine learning models to support the new digital testing platform or eagerly providing executive leadership critical insights to make strategic decisions. Our tight-knit, self-organized team of Data Scientists and Machine Learning Engineers collaborates closely and uses creative problem solving to tackle difficult challenges for many of the organizations strategic initiatives.
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.
In financial crimes risk management, Quantifind's solution uniquely combines internal financial institution data with public domain data to assess risk in the context of Know Your Customer (KYC), Customer Due Diligence (CDD), Fraud Risk Management, and Anti-Money Laundering (AML) processes. Legacy technologies demand increasingly more human resources as the operations expand; Quantifind's solution offers a way to cut through the inefficiency and enhance effectiveness through Machine Learning driven solutions that resolve for both accuracy and relevance.
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.