Top Senior Level Data Science Jobs in Los Angeles, CA

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. Champion AI strategies and industry trends to company leaders.

Join Square as a Senior Data Scientist in the Fraud Risk team. Responsibilities include building processes to detect high-risk activity, managing top-level Risk KPIs, developing machine learning solutions, and collaborating with cross-functional teams to influence risk strategies and business growth. Requires 5+ years of experience, proficiency in SQL, Python, and Looker, and a technical background in Statistics, Mathematics, or Computer Science.

Manage AI capabilities in pharmaceutical discovery, lead data science projects, develop AI offerings, and present thought leadership at industry events.

Join Square as a Senior Data Scientist in Fraud Risk, responsible for identifying and preventing fraud and credit risks using analytical skills and machine learning solutions. Partner with various teams to influence global Risk roadmap, develop data pipelines, and impact Banking initiatives.

Join Snap Inc as a Senior Data Scientist to apply quantitative analysis and statistical modeling for impactful data insights, drive decision-making, collaborate with cross-functional teams, and innovate Snap's product roadmap.

Lead Data Scientist working closely with cyber SMEs and business stakeholders to produce a holistic cyber risk view across the enterprise. Responsibilities include leading data analytics processes, managing cyber metrics program, and analyzing data to share insights with peers.

Manage and apply machine learning and statistical analysis to develop models related to personalization and content targeting. Analyze user behavioral data to identify patterns and opportunities. Collaborate with data scientists and business partners to draw insights from data. Proficient in Python, SQL, distributed data technologies, and ML frameworks like TensorFlow and scikit-learn.