Top Data & Analytics Jobs in San Francisco Bay Area, CA
Seeking an experienced Senior Staff Data Scientist to lead machine learning efforts, develop and deploy ML models, improve product experiences, and extract insights from data. Must have 8+ years of Data Science and machine learning experience, strong programming skills, proficiency in Python and SQL, and experience with cloud-based platforms like AWS Sagemaker.
Seeking a Principal Data Scientist with strong engineering skills to drive ML and AI capabilities across multiple teams. Responsibilities include hands-on development work, tech leadership, mentoring, and driving technical standards. Requires 8+ years of impactful experience in ML and AI implementation, deep hands-on experience with data products and infrastructure, and expertise in major technologies like Airflow, DBT, AWS, etc.
Seeking a full stack Senior Data Scientist to shape business strategy and product development decisions through data-driven insights. Responsible for analyzing customer behavior metrics, product analytics, and building models to understand customer behaviors. Bachelor's degree required (Masters preferred) with 4+ years of relevant work experience. Strong programming skills in SQL, Python, and Tableau are essential.
Conduct fraud program assessments, provide feedback, monitor program evolution, assess impact of new products, review fraud forecasts, and provide strategic insights. Requires a Bachelor's degree and 2+ years of experience in risk management or analytic strategy within the financial services industry.
Develop loss forecasting models for various lending products, draw insights from data, improve forecasting accuracy, explore external credit data, collaborate with different teams, and contribute to strategic goals of the company.
The Senior Analyst, Operational Risk at SoFi will assist in developing and implementing the operational risk management framework to ensure a secure and compliant operational landscape. Responsibilities include risk assessment, mitigation, regulatory compliance, and stakeholder collaboration.
Create tools to assess organizational health, diagnose business needs, and analyze data to influence people strategy at a financial services company. Partner with stakeholders, manage relationships, drive data integrity, and deliver actionable insights using Tableau and SQL. Requires Bachelor's degree, 3+ years of reporting and analytics experience, and strong data visualization skills.
Seeking a versatile and skilled data analyst to join the Fraud Platform team. Responsibilities include monitoring fraud patterns, developing reports in Tableau, conducting ad hoc analysis, and supporting risk assessments and controls.
Senior Risk Analyst role in Collections and Recovery Digital Strategy within a next-generation financial services company. Responsibilities include developing and executing digital strategies to enhance member engagement and improve experiences. Requires analytics background, strategic acumen, and knowledge of collections industry regulations. Lead design and construction of digital contact channels, optimize recovery strategies, and utilize predictive analytics for outreach strategies.
The Staff Fraud Analyst, Risk Data will help develop better data-driven fraud decisioning and performance management infrastructure by managing data and database, metrics infrastructure development, loss forecasting models, goals and benchmark setups, and business insights analysis and communication.
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