Top 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.
CrowdStrike is seeking an Analyst Relations Manager to develop and manage a comprehensive program for Peer Reviews. The role requires expertise in the competitive landscape, customer advocacy, and collaboration with internal teams to ensure synergy. Ideal candidates have 8+ years of experience in enterprise software, cybersecurity knowledge, project management skills, and strong communication abilities.
Searching for an individual with broad Workday experience across Workday Absence, Time Tracking, & Core Human Capital Management, plus hands-on experience managing Payroll Interface integrations for a global company. Responsibilities include implementing & supporting PECI-based integrations, setting up new time off plans & leaves, building out Workday time tracking solutions, and auditing data for the Workday integration to ADP.
Senior Business Intelligence Analyst role at CrowdStrike, responsible for developing impactful technical data warehouse and BI solutions. Requires expertise in data analysis, Tableau visualization, SQL, and working with complex data sources.
Lead data scientist role responsible for driving strategic vision, growing the team, and developing a world-class data science and machine learning organization. Partner with executive leaders to leverage data science as a strategic differentiator and solve critical company challenges. Required qualifications include 5+ years of hands-on data science experience, strong business acumen, and academic/research foundations.
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Atlassian is looking for a Senior Manager in Analyst Relations with strong industry analyst relationships and experience in driving AR strategy. Responsibilities include building positive relationships with industry analysts, executing AR programs, and managing data-driven AR initiatives.
Lead the development of Large Language Models for Enterprise Language Generation at ServiceNow. Collaborate with Engineering and Product teams, build elegant architectures, architect reusable components, and influence leadership with AI strategies and advancements.
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.
The Lead Data Specialist will supervise a team within Data Management, manage day-to-day operations, and interact with internal study teams and external end users to maintain exceptional database integrity.
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.
Develop standardized data models to access and process real-world data for generating regulatory-grade evidence in support of cancer detection. Collaborate with cross-functional teams and external collaborators to ensure data quality and develop data processing strategies. Apply statistical methods and machine learning algorithms for data analysis and interpretation.
The Senior Machine Learning Engineer II at Cruise is responsible for researching, developing, and optimizing machine learning algorithms for self-driving vehicles. The role involves being a technical leader, guiding technology choices, balancing tradeoffs, and enabling team members through effective design and code.
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.
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