Top Hybrid Data Science Jobs in San Francisco Bay Area
As a Senior Data Scientist at Square's Food & Beverage team, you will use a diverse set of tactics such as statistics, quantitative reasoning, and machine learning to research and produce insights for data-driven decision-making. You will partner with the product team to define metrics, build foundational KPIs, and communicate analysis to high-level partners and executives.
Develop advanced algorithms, execute statistical and data mining techniques, evaluate emerging datasets, contribute to thought leadership, possess strong communication and critical thinking skills.
The Senior Data Scientist at Square's Food & Beverage team uses data engineering, analytics, statistics, and machine learning to make data-driven decisions, define metrics, provide insights to sellers, and collaborate with cross-functional partners.
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As a Distinguished Scientist at ServiceNow, you will lead AI initiatives with a focus on cutting-edge technologies like deep learning, LLMs, NLP, and conversational assistants. Collaborate with engineering and product teams, architect elegant solutions, build reusable components, influence leadership, and drive thought leadership in AI.
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.
GoodRx is looking for a Data Science Manager to join our data team. The ideal candidate is a team player with 5+ years of experience in data science, strong skills in Python, statistical analysis, predictive modeling, and machine learning. They should have prior experience managing data scientists and exposure to data-adjacent roles in engineering. A background in the healthcare/prescription drug space is a plus.
Lead team projects and conduct bioinformatics analyses to solve complex scientific problems. Provide technical leadership and collaborate across teams. Mentor junior members of the team.
Senior Staff Software Engineer role focusing on building scalable machine learning systems and platforms at a next-generation financial services company. Responsibilities include architecting ML systems, collaborating with teams, designing software architecture, and contributing to a culture of innovation. Requires 6+ years of experience in technical field, proficiency in Python, Java, or C++, and experience with cloud platforms and scalable data processing.
Lead the AI strategy for various business challenges, become a Subject Matter Expert, architect and build innovative models and systems, collaborate with data scientists and engineers, stay at the forefront of AI landscape, engage with the data community, promote best practices, mentor and coach data scientists and engineers.
The Data Scientist will work with the Monetization team at Notion to accelerate self-serve revenue generation. Responsibilities include analyzing user interactions, defining problems, designing experiments, and collaborating with product, engineering, and marketing teams. Skills required include SQL, Python, R, statistical inference, data mining, and predictive modeling.
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