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Top Data & Analytics Jobs in San Francisco, CA
As a Principal Data Scientist, you will lead the Recommendation & Personalization team in creating AI/ML solutions for Capital One's platforms. Responsibilities include collaborating with cross-functional teams, building machine learning models, and translating complex data insights into business strategies.
The Applied Researcher I at Capital One will collaborate with cross-functional teams to develop AI-powered products. Responsibilities include utilizing a variety of technologies to analyze large data sets, building AI models through their entire lifecycle, and conducting impactful applied research to enhance customer experiences.
As a Senior Director of Technical Program Management at Capital One, you will lead initiatives enhancing data management and machine learning capabilities. You will oversee complex technical projects, ensure delivery of solutions, and foster collaboration across teams. Your role involves shaping TPM practices while aligning projects with business objectives and mitigating technical risks.
As a Software Engineer in the Core Machine Learning team, you will deploy machine learning models, enhance infrastructure for new use cases, and create scalable design patterns for safe model deployment. You will collaborate with machine learning engineers to optimize backend services while driving initiatives and methodologies for scalable machine learning solutions.
Develop and apply advanced statistical models, leverage data analytics, design custom analyses, synthesize results for clients, develop client relationships, guide and mentor team members, and advance problem-solving skills.
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The Senior Data Scientist will analyze large datasets to provide insights for the product team, design and evaluate A/B experiments, collaborate with engineers for data logging, and create data visualizations while effectively communicating findings to stakeholders.
As a Business Intelligence Engineer at Snap, you will analyze data from multiple sources to provide insights that support business decision-making and optimization of advertisement performance. Your role involves creating data-driven reports, collaborating with cross-functional teams to shape measurement strategies, and identifying trends to influence revenue growth.
As a Group Analyst at Snap Inc., you will enhance campaign performance by analyzing data, identifying trends, and making optimization recommendations. You will collaborate with teams to ensure campaigns run effectively, distill analytical concepts into actionable insights, and build dashboards to track advertiser performance.
The Senior People Analyst will leverage data to provide insights into workforce dynamics, drive HR strategies, and develop analytics tools that facilitate organizational effectiveness. The role includes collaborating with HR to create dashboards and reports, ensuring data integrity, and using visualization tools to communicate insights.
As a hands-on Data Science Manager, you will lead a team to develop advanced machine learning models focused on credit risk and lending. You will oversee the deployment of innovative solutions, collaborating across departments to enhance financial inclusivity and improve credit assessment accuracy, while managing a cross-functional team and driving strategic initiatives.
As a Data Architect at PwC, you will design and implement data architecture strategies, develop data pipelines, and integrate data solutions while collaborating with stakeholders. You'll be focused on transforming raw data into actionable insights and ensuring compliance with governance and security policies.
The Data Architect is responsible for designing and implementing data architecture strategies that meet business needs. This includes developing data models, ETL/ELT pipelines, and cloud-based solutions. The role emphasizes collaboration with stakeholders to translate data requirements into technical solutions while ensuring compliance with governance policies.
The Data Architect Senior Manager at PwC will be responsible for designing and implementing robust data architectures, leading cloud-based solutions, and integrating data pipelines. This role involves collaborating with business stakeholders, driving data strategy engagements, and ensuring compliance with governance policies, while coaching and developing high-performing teams.
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The Senior Analyst, Revenue Analytics will collaborate with Revenue leadership and other departments to develop reporting, conduct analytics, and support business review processes. This role involves designing metrics, analyzing sales data, and working on cross-functional projects to enhance efficiency using data-driven insights.
The role involves building scalable data solutions and performing data analysis to derive business insights. It focuses on collaborating with product managers and other data scientists to optimize user growth strategies and developing robust data infrastructure in a growth-oriented environment.
As a Lead Data Scientist at Brigit, you will build and maintain models to identify credit risk, optimize marketing spend, and reduce churn. You’ll work closely with product and engineering teams and handle the full modeling lifecycle, analyzing data to derive insights that support the company's mission of enhancing financial wellness for customers.
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