Top Data Science Jobs in Sacramento, CA
The Senior Data Scientist, Data Products role involves leveraging data to enhance product creation and strategy through collaboration, automated systems, quality metrics, and ad-hoc analysis. Responsibilities include creating insights and applying the latest technology trends while leading projects independently.
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As a Senior Data Scientist at Pie, you will develop best-in-class AI/ML solutions for commercial insurance, focusing on pricing, underwriting, and claims models. Collaborating with multiple teams, you'll enhance data-driven decision-making, conduct model diagnostics, and support deployment and automation of scalable ML pipelines that meet real business challenges.
As a Senior Revenue Operations Analyst, you will oversee sales process planning and optimization, ensuring data accuracy in Salesforce and improving revenue operations. Key responsibilities include opportunity management, data analysis, and reporting, collaborating with sales and IT teams to enhance processes and outcomes.
The Analytical Scientist will develop biological assays for characterizing viral and bacterial antigens or biopharmaceuticals, conduct laboratory experiments, provide analytical support, and assist in regulatory filings. Responsibilities include method development, validation, data documentation, and interfacing with various technical disciplines.
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The Senior Data Scientist will leverage advanced analytics and machine learning to drive growth and enhance customer experience for Gap Inc's brands. Responsibilities include creating predictive models, guiding audience targeting strategies, and collaborating with various teams to ensure data quality and implement data-driven strategies.
The Lead Data Scientist will build and mentor a team, define the technical vision, design advanced search algorithms, develop machine learning models to personalize user experiences, conduct data analysis, and collaborate with product teams to turn business needs into data projects.
The Senior Research Scientist will oversee and conduct systematic literature reviews and quantitative evidence synthesis studies, develop client-ready deliverables, manage project components, ensure timely delivery, and mentor junior staff while contributing to proposals and presentations.
The Data Annotation Specialist will review and label video data to support machine learning projects, maintain organized records, and ensure data quality standards. This part-time role offers flexible hours while contributing to improving products for dog owners.
As a Staff Software Engineer on the Marketing Data Science team, you will lead R&D for data science products, collaborate with engineering and product teams, support stakeholders, and educate colleagues on data science applications in marketing and advertising.
As a Staff Data Scientist in Marketing Data Science, you will lead R&D on data science products, collaborate with engineering and product teams, provide technical support to stakeholders, and educate others on data science applications in marketing and advertising.
The Data Scientist is responsible for applying data science principles and methods to solve complex problems and deliver actionable insights. Key responsibilities include using statistical and algorithmic techniques, managing R&D processes, and communicating insights to stakeholders. The role emphasizes collaboration, autonomy, and innovation in crafting data-driven solutions.
Top Companies in Sacramento, CA Hiring Data + Analytics Roles
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