Top Senior Level Data Science Jobs in Los Angeles, CA

Develop models, statistical analyses, and machine learning algorithms to predict marketing outcomes. Provide analytical support for marketing and advertising campaigns. Mentor junior data scientists and drive best practices in marketing research.

Seeking a Senior Data Scientist to integrate physics-informed machine learning solutions with 3D printing technologies, collaborate with cross-functional teams, extract insights from data, lead exploration of new data science techniques, and communicate insights to stakeholders.

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.

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.