Top Data & Analytics Jobs in San Francisco Bay Area
Deputy is seeking a Data Analyst to help turn billions of data points into actionable insights for shift-work businesses. Responsibilities include translating data into insights, collaborating with stakeholders, analyzing business strategy, and formulating recommendations for marketing and revenue generation. Join Deputy to shape the future of hourly employment!
Advocate for accessibility best practices, run assistive technology evaluative studies, establish and test product quality evaluations, audit core product for accessibility issues, and collaborate on UX copy testing. 5+ years of experience in UX Research for digital products with a focus on accessibility guidelines and standards.
Seeking a dynamic and experienced Senior Data Scientist to join the Process Scaling team at Asana. Responsible for strategic analysis, key metrics ownership, leading experimentation efforts, applying causal inference methods, and integrating AI and machine learning models into the product. Collaborates with cross-functional teams and contributes to the broader organization's success.
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.
Lead a team of Machine Learning Engineers in developing ML solutions across marketing, product, and operations. Collaborate with cross-functional teams to build machine-learning based systems and guide strategic decisions in machine learning and data use.
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Data Scientists working on our Clinical Data teams at Unlearn are responsible for building world class internal data products that enable fundamental advancements in machine learning.
As a Principal Qualitative Risk Analyst, you will be part of the Governance, Risk, and Compliance (GRC) team, reporting to the Manager of GRC. You'll work closely with other people in the Information Security (Infosec) team as well as cross-functionally with Engineering teams across the company.
Responsible for reporting and analyzing the operational performance of the Moderation organization. Collaborate with Data Science teams to develop and implement data strategies. Identify improvement opportunities and drive data-driven decision-making. Stay updated on industry trends and lead process enhancements.
The Senior Security Risk Analyst at GRAIL will be responsible for leading comprehensive information security risk assessments, defining risk mitigation strategies, and implementing security controls. They will work with cross-functional teams to assess security risks, ensure third-party solutions have adequate security controls, and maintain policy and procedure documentations. The analyst will also serve as a subject matter expert for the Risk Management program and communicate risk assessment results to the leadership team. Candidates should have a bachelor's degree in an Information Systems, Engineering, or related technical discipline, and at least 3 years of experience in risk assessment, preferably in the healthcare/biotech domain.
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.
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.
An AI Data Specialist role at Notion, responsible for annotating and labeling large volumes of data to enhance machine learning models' accuracy and efficiency. This is a temporary 2-month contract position requiring high precision and attention to detail. The role is on-site in San Francisco, working 40 hours a week, Monday to Thursday.
Staff Data Scientist role at a SaaS company focusing on customer lifecycle analysis, segmentation strategies, and analytics to drive business growth. Responsibilities include deep analytics, experimentation design, personalized segmentation, trend identification, and cross-functional collaboration. Requires 8-10+ years of experience using analytics for business decisions and proficiency in SQL, statistical analysis, and multivariate experiments. Preferred qualifications include R or Python scripting, Tableau skills, and experience in predictive modeling.
Seeking a Senior Data Scientist to partner with revenue, marketing, and product teams in optimizing marketing campaigns and business growth through analytics and insights. Responsibilities include marketing measurement, predictive modeling, customer journey analysis, and leading cross-functional teams. Requires 5+ years of experience in analytics, proficiency in SQL, R, Python, and experience with statistical analysis and experimentation design.
Senior Data Scientist role focused on marketing analytics, optimization of campaigns, and business growth through applied analytics techniques. Responsibilities include improving marketing measurement, developing quantitative models, analyzing customer behavior, and optimizing marketing campaigns.
Design, develop, and maintain scalable solutions for metrics, reports, and analyses to meet business needs. Collaborate with teams to measure customer experience and drive business outcomes. Troubleshoot data quality issues and recommend improvements to data sources. Have 5+ years of experience in the data/BI space and proficiency in SQL and data visualization tools like Tableau.
Join CrowdStrike's Commerce team as a Business Analyst with a focus on data wrangling, analysis, and reporting. Responsibilities include monitoring KPI metrics, conducting ad hoc analysis, and collaborating on strategizing and building analyses. Requires 3+ years of experience, proficiency in SQL and Excel, and strong communication skills.
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.
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