Top Software Data Science Jobs

As a Senior Data Scientist, you'll lead projects leveraging data to enhance healthcare outcomes, mentor team members, and align data efforts with business goals.

The Data Scientist will analyze geospatial data, communicate insights, collaborate with teams, and enhance data processes to support national security missions.

Lead product analytics for Handshake's recruiting marketplace: define metrics, own analytics strategy, run experiments, evaluate ML models, perform cohort and funnel analyses, build dashboards, and partner with product, engineering, and analytics engineering to drive data-informed growth and pricing decisions.

Lead design and execution of geo holdouts and incrementality tests, build DMA-level LTV models and geo-tiered bidding, define objective functions and decision rules for automated bidding, set experiment power and success criteria, and support paid and organic growth teams.

The Senior Data Engineer will own the data strategy, managing sourcing, structuring, and optimizing multimodal data to enhance AI models and products.

Seeking a Data Scientist with an active TS/SCI clearance to support government contracts with expertise in data analytics and automation.

The role involves leading the development of Data Science and AI curriculum, mentoring junior developers, and ensuring high-quality content aligned with educational objectives.

Lead data science efforts for the Program Management Office: optimize and secure SQL databases, build and manage ETL pipelines, create BI dashboards in Tableau/Power BI, automate processes with Python and Airflow, use GitLab in Agile workflows, and perform statistical analysis and data mining to surface trends and insights.

Lead and grow an applied/data science team to define vision, develop ML and causal inference solutions, establish experimentation and measurement best practices, translate business problems into scalable models, partner with Product and Engineering to productionize models, and influence executive strategy with data-driven insights.

The Data Scientist will develop and deploy ML models, analyze data, optimize AI pipelines, and collaborate with teams to deliver AI solutions. Responsibilities include model fine-tuning, data extraction, and staying updated on AI trends.