Top Data Science Jobs in Los Angeles, CA
Partner with business leaders to address challenges using predictive analytics, improve data quality, align analysis efforts with business strategy, implement statistical and machine learning models, spot trends, and mentor the team.
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.
The Mission Data Analyst role at Anduril Industries involves executing research, analysis, and synthesis of mission and business data to provide decision support products for the Air Defense Team. Responsibilities include developing key metrics, tools, and software services, maintaining mission-critical infrastructure, supporting Mission Operators, and applying data analytics techniques.
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Looking for a Senior Machine Learning Scientist to develop new machine learning products for a real-time acquisition marketing platform. Responsibilities include hands-on development of scalable algorithms, keeping up with latest ML advancements, and contributing to the company's ML roadmap.
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.
Partner with Cash App Health org to analyze large datasets, conduct A/B experiments, forecast metrics, and communicate insights with cross-functional teams.
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.
Senior Data Scientist role in the marketing team, focusing on optimizing marketing campaigns, measuring performance, and driving key business decisions using analytics techniques. Responsibilities include developing quantitative models, analyzing customer behavior, and collaborating with cross-functional teams. Requires a quantitative degree and 5+ years of experience in analytics and marketing.
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.
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