Top Hybrid Senior Level Data & Analytics Jobs in San Francisco Bay Area
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.
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.
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Design and build ML architectures and data pipelines for large-scale data repositories. Work on Clari's AI models and platform. Collaborate with stakeholders to deliver enterprise products. Fully remote opportunity in the United States.
The Sales Compensation Analyst at Asana is responsible for developing and improving sales credited reporting processes, implementing scalable best practices, maintaining internal controls around revenue retention, and collaborating with cross-functional partners to drive business performance and growth. This role requires 4-6 years of experience in sales compensation, finance, or related fields, proficiency in Excel, and strong communication and organizational skills.
The Senior Business Insights Analyst at ServiceNow is responsible for proactively monitoring the real-time health of the business, delivering strategic insights, and providing recommendations to grow and scale the company. This role involves a mix of strategic thinking, data analysis, and business operations skills, reporting to the Senior Manager of GTM Insights.
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.
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.
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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