Top Data Science Jobs in Washington DC,
As a Lead Data Scientist, you will identify opportunities for applying data science and machine learning techniques to enhance marketing, products, and processes. Collaborating with various teams, you'll drive projects related to marketing optimization and customer data analysis, while mentoring the data science team.
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The Senior Credit Analyst will develop pricing models for sustainable growth, create customer risk profiles, perform credit risk analysis, and collaborate with cross-functional teams to guide lending strategies and insights. They will also track key performance indicators and support model development with the Data Science team.
As a Senior Credit Analyst at Step, you will build pricing models, implement data tracking for KPIs, collaborate on lending strategies, and create customer risk profiles, all while working closely with Data Science to optimize profitability through credit policies and analysis.
As a Staff Data Scientist at Bitsight, you will develop and implement statistical methodologies for analyzing cyber risk and loss, collaborating with various teams. Responsibilities include enhancing data pipelines, creating automated testing frameworks, managing codebases, and producing technical content, while focusing on operationalizing statistical models.
As a Data Scientist at Gauntlet, you will conduct research to improve the safety and efficiency of DeFi protocols through data analysis and mechanism design. You will manage client engagements, produce public-facing research, and create visual dashboards to effectively communicate insights derived from complex datasets.
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The Data Scientist will lead the growth of data science capabilities, drive statistical modeling, optimize user classification systems, create lead scoring models, and collaborate with engineers and product managers to turn insights into automated services.
As a Senior Causal Inference Data Scientist at Discord, you will provide statistical expertise in the rebuilding of the experimentation platform, collaborate with engineering and product teams to enhance experimentation reliability, and educate cross-functional teams on causal inference methodologies. You will also lead causal inference research and empower the wider Data Science team.
As a Data Scientist II, you will analyze large healthcare datasets, build and optimize machine learning models, and develop algorithms for workflow optimization. You'll collaborate with engineers and product managers, communicate insights through visualizations, and contribute to innovative solutions that enhance operational intelligence in healthcare revenue cycle management.
The Applied Scientist will leverage advancements in AI/ML, particularly Large Language Models and Computer Vision, to enhance legal and financial tech solutions. Key responsibilities include finetuning and deploying state-of-the-art models, building ETL pipelines, and collaborating with cross-functional teams to improve AI quality in production systems.
The Senior Data Scientist will lead data analysis and machine learning efforts to extract insights from complex datasets, drive product enhancements, and influence strategic decision-making. Responsibilities include statistical modeling, data mastery, and mentorship within a cross-functional team to deliver machine learning solutions.
Top Companies in Washington DC, Hiring Data + Analytics Roles
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