Top Data Science Jobs in San Diego, CA

Lead AI initiatives at GM, developing comprehensive strategies aligned with business objectives and promoting best practices in a cross-functional environment.

Lead and scale the global AI Center of Excellence, overseeing the development and execution of AI solutions for cybersecurity challenges.

The Senior Agentic Product Manager will lead the strategy for Agentic Managed Detection and Response, focusing on innovation, requirements gathering, and metrics development across various domains.

The Partner Marketing Manager will develop and execute marketing programs with strategic partners, enhance partner relationships, and drive pipeline growth in the data and AI sectors.

The Principal Product Manager will lead the Underwriting team to improve credit risk models, manage vendor relationships, and analyze portfolio performance.

The Senior Product Manager will build and manage the Incentives Engine to drive user engagement, retention, and overall growth at Coinbase, emphasizing strategic incentives and cross-functional collaboration.

As an Associate Product Manager, you will gain hands-on experience managing products, launching features, and collaborating across teams. You'll be trained in product management, focus on customer needs, and help deliver innovative solutions that drive business impact.

Lead the AI Evaluations product framework at Dropbox, focusing on metrics, model performance, and user satisfaction for AI features. Collaborate with AI, data, and research teams to define success metrics and operationalize evaluation tools.

Lead Value Consultant responsible for executing value management strategy, enhancing customer value initiatives, and driving cross-functional collaboration for impactful outcomes.

The Product Lead for Retention is responsible for defining and executing strategies to improve seller retention, reduce churn, and enhance seller experiences, leveraging cross-functional collaboration and data-driven insights.

Lead product strategy for Merchant Performance Growth, build intelligence capabilities, and drive attribution efforts while collaborating across teams to enhance merchant relationship and revenue.

The VP of Engineering leads engineering strategy and execution, overseeing software, hardware, data science, and R&D, while fostering collaboration and innovation to deliver scalable solutions.

The Sales Engineer Intern will engage with the sales team, learn products, assist in technical demonstrations, and use analytical skills to present solutions to potential customers.

The Discovery Research Domain Expert will bridge scientific teams and IT, translating complex needs into actionable requirements while enhancing data usability for drug discovery.

The Director of Data Science will build and manage machine learning models, collaborate cross-functionally, and lead the ML strategy at Hungryroot.

The Sr. Data Scientist will analyze language-based clinical data to generate insights, support operations, and drive product innovations using AI technology in mental health care.

Manage and lead a team of Analysts, focusing on marketing measurement, optimizations, and utilizing machine learning to enhance campaign performance for clients.

Lead data partnerships by executing data acquisition strategies, negotiating agreements, and evaluating data quality in clinical and observational studies.

The VP of Product will define the strategy for Tala's lending ecosystem, enhance customer experiences, and lead product teams while achieving sustainable growth and financial inclusion.

Lead a team of Data and ML engineers, develop ML systems, collaborate on AI solutions, mentor staff, and operationalize ML processes.

The Director, Technical Data Product Owner, collaborates on product requirements, ensures data product delivery, and manages technical documentation and stakeholder communication, focusing on data management solutions in healthcare.

The Practice Manager leads Data Science, AI, and ML projects, managing teams, fostering growth, and ensuring customer success through technical guidance and strategic business planning.

The Senior Actuarial Assistant will lead moderate to complex analysis in risk insights, collaborate with product teams, and communicate results while managing projects in a fast-paced environment.

The Principal Solution Consultant ensures maximum value from solutions for clients, focusing on Net Dollar Retention through strategic stakeholder engagement, data analysis, and solution adoption.

Manage the full-cycle recruitment process for technical roles in data science and engineering, collaborating with hiring managers and optimizing recruitment strategies.