Top Hybrid Data Science Jobs in San Francisco Bay Area
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.
Lead the development of Large Language Models for Enterprise Language Generation at ServiceNow. Collaborate with engineering and product teams to incorporate AI technologies into the company's roadmap. Architect elegant and reusable components for AI solutions and influence leadership on AI strategies and advancements.
Snap Inc. is seeking a Data Scientist with 3+ years of experience to deliver impactful data insights for informed business and product decisions. The role involves collaborating with cross-functional teams and using data modeling skills to identify trends and opportunities for product optimization.
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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.
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.
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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.
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