Top Data Science Jobs in Sacramento, CA

The Data Scientist will analyze large datasets, support data validation, collaborate on feature engineering, and assist in predictive modeling to improve forecasts.

The Data Scientist will develop predictive models, analyze geophysical data, and collaborate with geoscientists to enhance exploration programs, focusing on mineral deposits.

Client-facing data scientist supporting clinical data transfer, ETL, validation, analysis, and Power BI dashboards. Build R scripts, assist data harmonization, support internal tools and basic web interfaces while working with cross-functional teams on clinical trial data.

The Data Scientist will build and operate models to improve logistics operations, focus on driver behavior, and analyze data for better delivery efficiency.

The role involves leading data science initiatives to drive business outcomes, mentoring junior scientists, performing analyses for decision-making, and using advanced technologies for optimization and causal analyses.

As a Data Scientist, you will enhance business strategies through data science methods, focusing on Experimentation, Causal Inference, and improving member experience. You will collaborate with various teams to execute roadmaps and present research insights.

The Staff Data Scientist will lead revenue forecasting efforts, develop models in Python, and communicate insights to senior leadership while mentoring other data scientists.

The Staff Data Scientist leads revenue forecasting and reporting, develops and maintains models, and communicates insights to senior leadership.

As the Staff Data Scientist, you will lead the data science function, driving strategy, mentoring peers, and shaping product direction through advanced analytics and experimentation.

The Data Scientist will work with the team to build and optimize models, interpret data, and support product development using massive data sets for advertising effectiveness.

As a Computer Vision Data Scientist, you will create and optimize AI solutions in regulated environments, collaborating with teams to deploy machine learning models and improve outcomes across healthcare settings.

The Data Scientist L6 leads the technical strategy for Netflix's Games Portfolio Team, focusing on forecasting, metrics ecosystems, audience insights, and model development while mentoring team members and ensuring production-grade data products.

Seeking a Data Scientist with 8-10 years of data science experience, including 2-4 years in manufacturing. Requires skills in building scalable data pipelines, ML model deployment, and strong communication with stakeholders.

As a Senior Data Scientist, you will analyze data, build models, and collaborate with teams to enhance credit evaluation using machine learning.

This role involves partnering with sales to design data-driven solutions, engaging with customers, and supporting pre-sales engagements.

The Senior Data Scientist designs and implements systems for manufacturing analytics, develops optimization models in Python, builds data pipelines, and collaborates with stakeholders to enhance decision-making frameworks.

The Principal Data Scientist will optimize marketing investments through advanced decision support systems, collaborating with multiple business stakeholders, and leading the development of analytics frameworks.

The Data Scientist collaborates with stakeholders to develop machine learning applications, analyze data, and enhance team operations, improving processes with data-driven insights.

The Data Scientist supports customer use of the Epistemix platform through data integration, modeling, and visualization, improving decision-making and customer satisfaction.

As a Data Scientist, you will identify opportunities using data to shape product decisions, develop metrics, and influence strategic partnerships across teams.

The Senior Data Scientist will develop metrics for system availability and reliability, analyze performance, and collaborate across teams to enhance Netflix's infrastructure.

The Data Scientist II will develop statistical models and algorithms for insurance interventions, improving customer lifetime value and enhancing conversion/retention using machine learning techniques.

The Marketing Data Scientist will analyze data, onboard clients, develop data pipelines in R, and propose improvements to enhance efficiency.

Develop, validate, and deploy supervised and unsupervised machine learning models; transform and analyze large structured and unstructured datasets using Python, SQL and BI tools; apply OCR and NLP techniques; maintain source control and MLOps processes; present findings via dashboards and reports to technical and nontechnical stakeholders.

The Data Scientist will design and deploy AI solutions, optimize models, and mentor teams while collaborating across departments. Key responsibilities include data analysis, model building, and integrating AI advancements.