Top Remote Senior Level Data Science Jobs in Los Angeles, CA

The Principal Data Scientist will optimize marketing investments through advanced decision support systems, collaborating with multiple business stakeholders, and leading the development of analytics frameworks.

Design, test, and deploy time‑series and econometric forecasting models; own end‑to‑end model lifecycle (feature engineering, deployment, monitoring); analyze large datasets to surface drivers; translate results into clear insights for leadership; partner cross‑functionally to scale forecasting capabilities and improve shared tools and pipelines.

As a Staff Data Scientist at 15Five, you'll develop and integrate AI/ML models into performance management systems, conducting data analysis and statistical modeling to enhance business insights and outcomes.

The Senior Data Scientist will build data products for insights, develop a data platform, validate impact with partners, and improve technological solutions for student mental health care.

As a Data Scientist, you will deliver data insights using AI, ML, and analytics, build scalable models, and collaborate on data engineering projects while mentoring junior team members.

The Senior AI Data Scientist will lead the design and development of AI systems in finance, overseeing data reasoning, model behavior, and production quality.

The Senior Product Owner will lead the strategy and development of data and AI capabilities, collaborating with data teams to create integrated data solutions and drive analytics adoption across the organization.

As Senior Data Science Manager, you'll lead the LTV team, driving strategic modeling of customer value, delivering insights to impact business decisions, and enhancing automation and reproducibility in data science workflows.

The Lead Data Scientist will enhance analytics through predictive modeling and data engineering, focusing on quality, feature generation, and continuous learning.

Lead data science initiatives, mentor junior scientists, and apply machine learning to influence enterprise decision-making and improve business outcomes.