Top Data Science Jobs in San Francisco Bay Area
The Senior Data Scientist at Sensor Tower will leverage digital advertising knowledge to drive strategies that improve the accuracy and offerings for their Digital Marketing insights solution. Responsibilities include developing data modeling algorithms, consulting on AI usage, and acting as a subject matter expert in digital advertising.
Conduct advanced research and modeling to solve strategic HR challenges and improve the employee experience. Design and execute research studies, analyze survey data, present findings to stakeholders, and provide actionable research insights to senior leaders.
As a Senior Data Scientist at Square Banking, you will partner with various teams to shape and execute strategies that expand credit eligibility, enhance loan gross profit, and improve user experience on a global scale. Responsibilities include influencing product roadmaps, leading A/B testing for loans growth and optimization, and designing business metrics for success.
Build and enhance AI models for Gusto's customers. Develop natural-language interface and improve LLM models. Collaborate with infrastructure teams and research novel AI techniques. Minimum 6 years of software engineering experience.
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Lead Data Scientist role at Thumbtack, responsible for quantitative research, experiment design, and key metric analysis to support product teams in making data-driven decisions. Collaborate with cross-functional partners, mentor team members, and contribute to data culture within the company.
Individual contributor position as a Senior Manager, Data Science in the Emerging ML team at Capital One. Responsibilities include building machine learning models, partnering with business teams, and writing software for data analysis. Ideal candidate is curious, creative, technically proficient, and statistically-minded.
The Principal Data Scientist will lead the AI Foundations team in developing and implementing AI/ML solutions for Capital One's mobile app, collaborating with cross-functional teams to deliver personalized customer experiences.
As a Senior Data Scientist at Square Banking, you will partner with cross functional stakeholders to shape and execute strategies for expanding credit eligibility, enhancing loan profit, and improving user experience globally. Responsibilities include influencing product roadmap, leading A/B testing, identifying lending product profiles, and owning business metrics for success.
Seeking a Director of Data Science to lead a team in leveraging data for business decisions, specifically in marketing. Responsibilities include developing predictive models, analyzing marketing performance, and driving data-informed strategies for growth and monetization. Must have a deep understanding of consumer lifecycle analysis and SaaS operations.
Join the People Science & Analytics team at Roblox to deliver insights, drive decisions, and support organizational design and culture using qualitative and quantitative data. Partner with internal teams, analyze large datasets, diagnose operational breakdowns, and provide ad hoc reporting. Requires an MBA or MS in relevant field, advanced data reporting skills, SQL experience, statistical analysis knowledge, and project leadership experience.
Conduct comprehensive analyses of marketing campaign performance, design and execute experiments, develop predictive models, collaborate with cross-functional teams, and optimize user acquisition strategies through data-driven solutions.
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Lead data scientist role responsible for driving strategic vision, growing the team, and developing a world-class data science and machine learning organization. Partner with executive leaders to leverage data science as a strategic differentiator and solve critical company challenges. Required qualifications include 5+ years of hands-on data science experience, strong business acumen, and academic/research foundations.
Seeking a dynamic and experienced Senior Data Scientist to join the Process Scaling team at Asana. Responsible for strategic analysis, key metrics ownership, leading experimentation efforts, applying causal inference methods, and integrating AI and machine learning models into the product. Collaborates with cross-functional teams and contributes to the broader organization's success.
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