Top Hybrid Senior Level Data & Analytics 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.
Senior Data Scientist role at Snap Inc. Responsibilities include quantitative analysis, statistical modeling, and driving data-driven decisions for product optimization. Requires expertise in SQL, Python, R, and 5+ years of experience in data science and quantitative analysis.
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The Vice President of Strategy and Analytics at GoodRx will lead efforts to demonstrate the value of the platform to customers, drive new sales, ensure high renewal rates, and drive revenue growth through data stories and insights.
Design and implement data warehouse, construct data pipelines, empower users to explore data, lead QA initiatives, optimize data processes, offer technical recommendations, collaborate with team members.
As the Head of Data at Square, responsible for leading Data Science, Analytics, Machine Learning, and Data Engineering teams, driving strategic direction, ensuring data governance, fostering a culture of agility and innovation, and delivering impactful insights to drive business performance.
Lead Data Engineer responsible for designing and elevating metrics for consumer-facing search, recommendations, promotions, and messaging experiences at Disney Entertainment & ESPN Technology. Work with engineering teams to ensure data availability, build workflows, analyze complex datasets, and drive success for streaming applications like Disney+, Hulu, ESPN+, and Star+.
The Staff Risk Analyst, Loss Forecasting role at SoFi involves assisting in the development of loss forecasting models using Python and machine learning, analyzing data to provide insights on drivers for losses, and collaborating with various teams for performance analysis. The role focuses on credit loss forecasting and contributing to successful business outcomes through recommendations based on data analysis.
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In this role, you will play a pivotal role in boosting the company's growth by analyzing website performance, enhancing user sign-up conversion, and improving SEO efforts. You will collaborate with various teams to establish and define website metrics and targets, analyze optimization experiments, and create monitoring dashboards for key pages.
The Staff Statistical Analyst contributes to the analysis of clinical study data through their statistical programming expertise. Responsibilities include providing statistical programming support, maintaining documentation, developing reusable code, and staying updated on industry developments.
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