Top Data Science Jobs in Washington DC
Build and enhance data products that inform pricing strategy and reinforce the value proposition of mental health programs.
Senior Staff Bioinformatics Scientist role at GRAIL, specializing in cancer detection, disease biology characterization, and improving patient outcomes through innovative research projects. Responsible for leading team projects, providing technical leadership, collaborating across teams, and mentoring junior members.
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Looking for a Data Scientist to join the Risk Data Science and Analytics Team at Square. Responsibilities include improving risk controls, advising senior stakeholders, and building processes to detect high-risk activity. Key tasks involve diagnosing problems, designing experiments, developing data pipelines, and collaborating with cross-functional teams to drive data-driven solutions. Qualifications include a BS/BA in a related quantitative/technical field, 8+ years of experience, proficiency in SQL, Python, Looker, and strong statistics and machine learning knowledge.
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Senior Data Scientist role at Capital One's AI Training Team involving partnering with cross-functional teams, leveraging technologies to analyze large volumes of data, and translating technical work into business goals.
A Principal Data Science and Machine Learning Engineer responsible for developing production machine learning algorithms and recommendation systems, building data pipelines, and collaborating with Product Managers and UX Designers. Must have extensive experience in building production machine learning systems and expertise in Python, TensorFlow, Tableau, MySQL, SQL.
Join Square as a Senior Data Scientist in the Payment Risk team. Enhance risk controls, manage metrics, and advise stakeholders on risk controls. Lead fraud prevention efforts and develop machine learning solutions. Partner with various teams to influence product roadmaps and procedures. Requires 8+ years of experience in statistics, mathematics, or related field, proficiency in SQL, Python, and Looker, and strong knowledge in statistics and machine learning.
Responsible for developing innovative and practical Generative AI applications for Tempus product line. Collaborate cross-functionally with other teams to understand needs and requirements. Conduct research and exploration of generative AI techniques, with a specific emphasis on healthcare applications. Design and implement generative AI models tailored for healthcare scenarios. Collaborate with domain experts, clinicians, and researchers to validate and refine the models' outputs.
As an Associate Data Science Engineer at PrizePicks, you will be responsible for developing and maintaining streaming data and MLOps infrastructures to enable real-time priced markets within the product. You will collaborate with various teams to ensure data reliability, model output quality, and scalability.
Hiring Data Scientists to bring predictive modeling to the clinical development ecosystem. Responsibilities include building model pipelines, scaling algorithms, enhancing ML Engineering platforms, and implementing ML Ops. Must be familiar with Python and machine learning techniques.
Seeking a Data Scientist with a product mindset to collaborate with cross-functional teams in designing and implementing innovative products and features using data science techniques. Responsibilities include algorithm development, testing, and measurement of impact.
Top Companies in Washington DC Hiring Data + Analytics Roles
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