Top Data Science Jobs in San Francisco Bay Area, CA
The Director of Data Science at Snap Inc will lead a team of data scientists to drive revenue growth through advanced analytics. Responsibilities include building machine learning models, improving data governance, and delivering actionable insights to senior executives. The role focuses on solving complex business questions and enhancing customer engagement using data-driven strategies.
The Director of Data Science will lead a team to enhance ad performance understanding, measure ROI, and analyze audience behavior. This role involves building machine learning models, managing analytics projects, and driving data-driven insights for senior executives to improve business outcomes.
The Senior Data Scientist will enhance revenue generation for the Sales and Account Management organization by leveraging advanced data science techniques such as predictive modeling, experimentation, and statistical frameworks. They will work with various teams to apply insights that drive decision-making and mentor other data scientists.
The Senior Data Scientist at Square's SAM Data Science team will leverage advanced data science techniques to improve revenue generation, develop predictive models, and drive data-driven decisions within the organization. Responsibilities include understanding data ecosystems, supporting revenue forecasting models, partnering with ML engineers, applying analytics, and mentoring team members.
As Senior Director of Data Science & Analytics at Roblox, you will shape the data strategy for consumer engagement, focusing on complex marketplace problems, user discovery, and content recommendations. Collaborate with cross-functional teams to enhance product development and drive improvements in user experience across the platform.
As Senior Director of Creator & Engine Data Science at Roblox, you will shape the data strategy for the creator ecosystem, leveraging advanced analytics, machine learning, and AI technologies to enhance creator success and optimize engine performance. You will evaluate algorithms, balance creator needs with engine development, and collaborate with cross-functional teams to drive impactful data science initiatives.
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As Director of Data Science and AI, you will lead a diverse team of Data Scientists, Machine Learning Engineers, and Data Analysts. Your role involves finding AI opportunities, overseeing the design and deployment of ML solutions, and collaborating with product and engineering leaders. You will guide your team towards project objectives and contribute strategically to the company's goals.
The Data Scientist will leverage data and technology to aid the marketing team in optimizing their strategies. Responsibilities include data collection and statistical analysis, building revenue optimization models, and defining key performance indicators.
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The Staff Data Scientist will drive engagement initiatives by utilizing data for product strategy, impact sizing and measurement, and improving product features through intelligent systems. This role demands collaboration with cross-functional teams to define problem areas and implement advanced statistical and machine learning methods.
Lead and mentor a team of Data Scientists and UX Researchers, prioritizing high-impact research opportunities that drive business value, while overseeing daily operations and fostering a collaborative team culture. Develop research strategies that integrate quantitative and qualitative data to deliver impactful insights, and partner with various departments to align on product and design development.
The Lead Data Scientist at Hims & Hers will apply data science and machine learning to enhance marketing, products, and operations. This role involves technical leadership, project execution in marketing optimization and customer insights, and collaboration with engineers and business teams to develop ML products. Mentoring the data science team and driving business impact through innovative solutions is also emphasized.
As a Data Science Manager, you will lead a team of data scientists, fostering innovation and collaboration to support ad format experiences. You will utilize data insights to drive growth, communicate findings to stakeholders, and ensure high-quality outputs. Your role involves building a diverse team and engaging in product development related to advertising and e-commerce.
The role involves supporting data-driven decision-making across all company functions at Hims & Hers, focusing on analytics, data science, and machine learning. Responsibilities may include conducting experiments, analysis, and developing AI capabilities, as well as building tools and dashboards to enhance user experience and decision-making processes.
As a Data Scientist in the Ecosystem and Learning Platform team, you will support vertical data science teams in experiment design and analysis, collaborate with cross-functional teams to develop scalable solutions, and work to advance data science methodologies. You will also help streamline analytic operations and ensure successful execution of company-wide experiments.
As a Staff Data Scientist at Pinterest, you will enhance data labeling capabilities by applying data science techniques, improving data collection processes, and collaborating with stakeholders. You'll also mentor other data scientists and influence the strategic direction of the company's data platforms.
As a Staff Data Scientist, you will enhance the data warehouse and query tools at Pinterest by applying data science to improve visualizations, table structures, and query systems. Your role will involve building analytical opportunities, collaborating with platform users, mentoring other data scientists, and developing strategies to enhance data interaction and insights across the organization.
The Data Scientist will build and manage dashboards for financial insights, conduct financial data analysis, and collaborate cross-functionally to support decision-making. Responsibilities include maintaining Tableau dashboards, analyzing financial performance, and developing predictive models.
As a Senior Data Science Manager at Reddit, you will lead a team of data scientists to enhance advertising experiences and drive data-driven strategies, collaborating across Product, Engineering, and other teams. Responsibilities include end-to-end analytics projects, analyzing large datasets for insights, implementing A/B testing, and fostering a culture of innovation within the team.
The Data Science Manager will lead a high-performance team responsible for user acquisition, retention, and growth strategies at Pinterest. This role involves structuring ambiguous business challenges into actionable plans, mentoring team members, and communicating complex analytics clearly to stakeholders. The manager will also drive data-driven decision-making and foster an inclusive team culture.
As a Senior Data Science Manager at Cruise, you will grow a team of data scientists, set safety metrics strategies, improve machine learning models, and advocate for data science best practices, collaborating with various stakeholders in the self-driving industry.
As a Lead Data Scientist, you will transform data into actionable insights to enhance marketing strategies and optimize customer acquisition and retention. You will develop predictive models, lead data science initiatives, and collaborate with various teams to drive strategic marketing decisions through data analysis and experimentation frameworks.
The Senior Software Engineer will analyze metrics from our av-stack to provide insights, communicate with various teams to understand their analysis needs, design experiments, and improve metric formulations. This role requires strong coding skills and the ability to present complex findings clearly to non-experts.
The Quantitative Scientist will work closely with clinical data to solve complex real-world problems in healthcare. Responsibilities include data cleaning, modeling, inference, and interpretation to support commercial projects, leveraging real-world data across therapeutic areas like urology and ophthalmology.
The Tennis Data Scientist will develop and improve machine learning and statistical models for sports betting products, contribute to model development and deployment stages, analyze model performance, and adhere to software engineering practices while collaborating with various teams.
Hiring Basketball Data Scientist to develop machine learning and statistical models for sports analytics and betting products. Responsibilities include model development, feature set creation, model performance analysis, and documentation. Must have a Master's degree, experience in sports analytics, and proficiency in Python and SQL.
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