Top Data & Analytics Jobs in San Francisco Bay Area
The Principal Data Analyst will be responsible for deriving meaningful insights from data and supporting the Enterprise and Sales teams. They should have experience in sales data analysis, strategy, or business analysis, with proficiency in SQL, Excel, Tableau, and Salesforce. The successful candidate will be highly organized, analytical, and detail-oriented. A degree in Business, Statistics, Finance, or a related analytical field is preferred.
Partners with Consumer and Ecommerce Business Groups to ensure delivery of applications aligned to the business and IT strategy. Responsible for authoring data integrations and API related Consumer business requirements. Collaborates with business users, translates high-level requirements into actionable workloads, and leads troubleshooting efforts on critical issues.
CrowdStrike is seeking a Sr. HRIS Analyst with extensive Workday experience in Absence Management, Time Tracking, and Core HCM. Responsibilities include building integrations, managing payroll interfaces, and implementing new programs. The role requires 5+ years of HR technology experience in a global environment.
Principal Data Scientist specializing in Natural Language Processing (NLP) at Capital One. Responsible for building and deploying AI powered products, leveraging advanced technologies like Pytorch and AWS Ultraclusters. Ideal candidate is customer-focused, innovative, creative, a leader, technical, and influential.
Manager, Data Science role at Capital One's Consumer Identity Machine Learning team involving building machine learning models, partnering with product teams, and writing software for data analysis.
Featured Jobs
Support the Data Science team in analyzing features for online real-time bidder models, creating machine learning bidder models, and collaborating with various teams to drive product efforts. Responsibilities include designing/acquiring features, implementing bidder algorithms, data analysis, model development, and presenting insights. Qualifications include an advanced degree in a quantitative field, proficiency in Python and SQL, experience in machine learning frameworks, and 3+ years of experience in developing machine learning algorithms.
Lead the Data Privacy and Identity and Access Management oversight programs for Toast, ensuring compliance with industry and regulatory requirements. Collaborate with various organizational leaders to maintain governance over access to systems and data. Drive automation of governance and compliance functions and participate in technical design discussions.
Join Roblox as a Senior Learning Scientist to work on science-based and data-driven solutions for recruiting and HR challenges. Develop assessments, training systems, and research plans to support talent development and organizational design. Requires a PhD in Learning Science or related field, 4+ years of experience in qualitative methods, and expertise in evaluating cognitive skills and knowledge.
The Client Analyst will be responsible for working with internal teams and clients to align on objectives and make recommendations for campaign optimization based on performance data analysis. They will serve as the day-to-day analytics point of contact for assigned client accounts and present insights to both internal and external audiences.
This role involves driving the robotics aspects of the Simulation Smart Agents software stack, collaborating with specialists to deploy algorithms and ML models, optimizing ML and system pipelines, improving data pipelines, defining metrics for evaluation, and closing gaps in tooling for accelerated engineering velocity within Simulation.
Seeking a collaborative Senior Data Engineer with strong experience in data modeling, SQL, Python, DBT, and Snowflake. Responsibilities include mentoring junior data engineers, building data transformations, and optimizing ETL jobs for processing large amounts of data. Must have 6+ years of experience in data engineering, a Bachelor’s degree in computer science, and proficiency in cloud native infrastructure (Azure), Docker, and object-oriented programming.
Join Square as a Senior Data Scientist in the Payment Risk team. Enhance risk controls, manage metrics, and advise stakeholders on risk controls. Lead fraud prevention efforts and develop machine learning solutions. Partner with various teams to influence product roadmaps and procedures. Requires 8+ years of experience in statistics, mathematics, or related field, proficiency in SQL, Python, and Looker, and strong knowledge in statistics and machine learning.
Top Companies in San Francisco, CA Hiring Data + Analytics Roles
See All
All Filters
No Results
No Results
