Top Data Science Jobs in Sacramento, CA

Lead Data Scientist will optimize partnerships and agent channels through research and machine learning, collaborating with cross-functional teams and mentoring junior data scientists.

The Senior Data Scientist will design measurement frameworks, optimize marketing strategies, improve data-driven brand strategies, and lead data science initiatives for marketing impact.

As a Lead Data Scientist at Root, you will develop causal models, build simulation tools, monitor performance, and collaborate across teams to drive business impact.

As a Principal Data Scientist, you will lead statistical and machine learning initiatives, influence modeling strategies, and drive impactful research for the insurance industry while collaborating across functions.

As a Lead Data Scientist in Marketing Research, you'll design and execute performance marketing strategies, using predictive models and statistical techniques to improve campaign efficiency and drive growth.

The Senior Data Scientist will develop and apply data science models to optimize Reddit's advertising platform, analyze large datasets, and mentor junior scientists.

The Senior Data Scientist will build data infrastructure, implement BI tools, and provide data-driven insights to enhance Product, Sales, and Customer Success operations.

The Principal Data Scientist will lead marketing measurement strategies, develop attribution models, optimize existing systems, and mentor team members to enhance data science capabilities.

The Sr. Data Scientist analyzes complex datasets, builds predictive models, creates data pipelines, and collaborates across teams to support strategic decision-making.

As a Senior Data Scientist, you will build data science solutions for A.I. products, lead technical efforts, and support cybersecurity missions.

As a Staff AI Research Scientist, you'll lead high-impact research on data quality frameworks for LLMs, design systems to improve data integrity, and mentor junior team members while collaborating across functions.

The Senior Data Scientist will support marketing intelligence products, improve model accuracy, explain statistical concepts, and collaborate with teams to translate customer needs into technical requirements.

Seeking a Principal Data Scientist to guide AI innovation and develop responsible, interpretable AI systems to improve healthcare outcomes. Lead collaboration with teams to integrate AI into business systems, ensuring compliance and effectiveness in healthcare applications.

Lead the design and implementation of AI-driven search algorithms and models. Collaborate with teams to optimize search performance and personalize user experiences. Mentor junior staff and stay updated on latest AI advancements.

As a Senior Data Scientist at Ensemble, you will develop advanced AI and machine learning models, focusing on generative AI and predictive analytics to improve healthcare outcomes.

The Senior Data Scientist will lead analyses and projects to drive strategic insights, mentor junior staff, and utilize AI tools for data-driven decisions.

As a Principal Data Scientist, you will analyze complex data, create measurement techniques, collaborate with teams, and develop models to enhance Zillow Rentals' marketplace performance.

The Principal Data Scientist will analyze complex datasets, collaborate with stakeholders, mentor junior team members, and communicate insights effectively.

Lead the development and deployment of machine learning and generative AI models to enhance customer onboarding processes, utilizing data science techniques and cloud infrastructure.

The Senior Data Scientist will conduct analyses, develop data science solutions, collaborate cross-functionally, and communicate insights to enhance decision-making at MSIG USA.

This role involves leading data science initiatives, conducting research, and collaborating with teams to enhance data-driven decision-making at Otto Aviation.

As a Senior Machine Learning Engineer, you'll build and deploy ML models for risk and fraud detection, leading technical efforts and collaborating cross-functionally.

Lead a team of data scientists to drive user growth through insights and strategic initiatives, collaborating with cross-functional partners.

Design and deploy data processing pipelines, analyze data to extract insights, and develop software systems for data management and privacy.