4 machine learning jobs found in San Francisco, CA

Sr. Director, Data Science, Patient Identification   San Francisco, CA, 94118   Description: Mavericks Wanted When was the last time you achieved the impossible? If that thought feels overwhelming, you might want to pause here, but if it sparks excitement...read on In 2015, we pioneered a "moneyball for biotech" approach, pooling projects and promising early-stage research from academia together under one financial umbrella to reduce risk and unleash innovation. This model allows science and small teams of experts to lead the way. We build bridges to groundbreaking advancements in rare disease, and develop life-changing medicines for patients with unmet needs as fast as humanly possible. Together we define white space, push boundaries and empower people to solve problems. If you're someone who defies convention, join us and work alongside some of the most respected minds in the industry. Together, we'll ask "why not?" and help reengineer the future of...

Senior Principal Data Scientist (Healthcare & Life Sciences) South San Francisco, CA - Hybrid Duration: Long term  Senior Principal Data Scientist (Healthcare & Life Sciences) Position Overview As a Senior Principal Data Scientist, you will serve as a technical visionary and strategic partner within the Product Development Data Sciences organization. You will lead the design and implementation of advanced analytical solutions that transform complex biological, clinical, and real-world data (RWD) into actionable insights. Your work will directly impact clinical trial design, regulatory submissions, and the delivery of personalized healthcare solutions.   Key Responsibilities ·       Strategic Leadership: Act as a thought leader in defining the roadmap for data science capabilities. Partner with clinical, medical, and commercial leaders to translate high-level scientific questions into robust analytical frameworks....

  Data Architect (SAP Data exp)   Emeryville, CA Terms: Contract(Only on w2)   Job Details:   Experience & Expertise 12+ years of experience in data science, analytics, or data governance roles 5+ years leading data science, AI, or enterprise analytics functions at a senior level Proven track record of successfully delivering AI and analytics solutions that drive measurable business impact Deep knowledge of machine learning techniques, predictive modeling, statistical analysis, and data visualization tools Strong understanding of data governance frameworks, data privacy, security, and regulatory compliance (e.g., CCPA, GDPR) Experience building and scaling analytics and data teams within retail, consumer products, or supply chain organizations Bachelor’s degree in computer science, Data Science, Engineering, or related field...

Senior Fraud Risk Data Scientist San Jose, California, United States  Make your impact within a rapidly growing Fintech Company   We are looking for a detail oriented, enthusiastic and dedicated Senior Risk Data Scientist to join Bill’s Risk Data Innovation team with a focus on fraud risk. The incumbent will be working on data science projects related to key risk department initiatives. The data scientist will own key projects associated with predictive fraud detection, transaction risk modeling and fraud loss mitigation to support existing and new payment products. This individual will also design experiments to understand the impact of customer experience when leveraging machine learning in complex risk strategy changes. This position requires a person who has experience with developing machine learning models and performing advanced analytics preferably in the risk domain and also partnering with cross functional stakeholders.   We’d love...