Top Data & Analytics Jobs in Washington DC,

Assist on federal government affairs initiatives, research and monitor Congressional activities, prepare reports on policy impacts, assist in PAC strategy implementation, compliance activities, budget tracking, and represent company at events.

Lead and grow a team of data scientists, partner with senior leaders, drive transformative initiatives, build analytics strategy, provide transparency of roadmap, and deliver high-quality outcomes using data science and ML.

The Circuits Support Analyst position at Motorola Solutions involves providing technical and administrative support for the Radio Team and EIS circuit team of a sensitive Federal customer. Responsibilities include coordinating operations for voice, data circuits, and POTS lines, utilizing IT systems for ticket management, and overseeing transitions to new contracts and circuits.

Experienced Data Engineer responsible for designing, building, and maintaining data pipelines and infrastructure to support data science and machine learning initiatives. Collaborates with data scientists and business stakeholders to engineer features for advanced analytical models. Develops robust data pipelines, ensures data quality, and supports development environments while adhering to data governance standards. Mentors and guides junior data engineers.

As a Staff Machine Learning Engineer on the Bidding Policy team at Liftoff, you will work on building state-of-the-art ML models to make accurate bidding decisions in millions of auctions per second. You will have end-to-end ownership of designing and implementing reliable, scalable, and cost-efficient systems.

Join Parsons as a Principal Quantitative Analyst to work with Finance managers, Program teams, and Government Accounting experts. Responsibilities include business partnering, financial modeling, data analysis, and communication with various stakeholders. Desired skills include extensive experience in financial analysis and modeling. Bachelor's degree in Accounting, Business, Finance, Math, or Economics required.

The Analyst II, Credit Risk at Affirm is responsible for leveraging data analytics to optimize credit underwriting, managing risk, and improving profitability. The role involves working cross-functionally with various teams to develop effective credit risk strategies and support new product launches. The ideal candidate should have 2-4 years of experience in data analysis, proficiency in SQL and Python, and a curiosity to learn and innovate.