Top Scientist Jobs in San Francisco, CA

The Data Scientist II will develop and improve machine learning models for document verification, engaging in model diagnostics and optimization, and collaborating with cross-functional teams to meet performance requirements.

The Data Scientist will analyze large datasets, support data validation, collaborate on feature engineering, and assist in predictive modeling to improve forecasts.

Lead development and operationalization of LLM, agentic, and image AI solutions for diagnostics. Build multimodal datasets, implement RAG and agent workflows, apply ML and statistical methods (DoE, Bayesian optimization, causal/survival/longitudinal), analyze RWE/RWD, and integrate insights across clinical, regulatory, and product teams to drive diagnostic and business impact.

Design, build, and deploy end-to-end production ML systems for audience targeting, lookalike generation, and propensity scoring. Own ML lifecycle from experimentation to production monitoring, leverage distributed/cloud platforms, implement vector similarity and embedding systems, engineer scalable features, and collaborate with engineering and product teams to ensure model quality and operational reliability.

The Data Scientist will develop predictive models, analyze geophysical data, and collaborate with geoscientists to enhance exploration programs, focusing on mineral deposits.

Client-facing data scientist supporting clinical data transfer, ETL, validation, analysis, and Power BI dashboards. Build R scripts, assist data harmonization, support internal tools and basic web interfaces while working with cross-functional teams on clinical trial data.

The Data Scientist will build and operate models to improve logistics operations, focus on driver behavior, and analyze data for better delivery efficiency.

Lead development and operationalization of LLM, agentic, and image AI solutions for diagnostics. Build multimodal datasets, develop production-grade models and RAG/agent pipelines, perform RWE analytics, and integrate insights across clinical, regulatory, R&D, and product teams to drive diagnostic performance and patient impact.

Lead development and operationalization of LLMs, agentic and image AI solutions; build multimodal datasets; develop production-grade models, RAG pipelines and agent workflows; run RWE analytics and Bayesian optimization for assay/R&D acceleration; deploy solutions on Azure/Snowflake/Databricks and integrate insights into clinical, regulatory, and product programs.

The Senior Data Scientist at Bluesight will develop machine learning models, collaborate on analytics projects, communicate findings, and elevate the analytics team's skills.

As a Data Scientist, you will enhance business strategies through data science methods, focusing on Experimentation, Causal Inference, and improving member experience. You will collaborate with various teams to execute roadmaps and present research insights.

As a Senior Data Scientist, you will evaluate revenue growth opportunities, develop analytical frameworks, create executive reports, and ensure data accuracy, influencing business decisions through strong technical execution and communication.

The Staff Data Scientist will lead revenue forecasting efforts, develop models in Python, and communicate insights to senior leadership while mentoring other data scientists.

The Staff Data Scientist leads revenue forecasting and reporting, develops and maintains models, and communicates insights to senior leadership.

The Senior Data Scientist will evaluate revenue growth opportunities, develop analytical frameworks, produce reports, and ensure data accuracy for decision-making.

Lead custom analytics and ML model development for non-prime lending using traditional and alternative data. Scope and deliver credit strategies (underwriting, pricing, collections), engineer features, evaluate data sources, present insights to clients, and support model implementation, monitoring, and optimization.

As the Staff Data Scientist, you will lead the data science function, driving strategy, mentoring peers, and shaping product direction through advanced analytics and experimentation.

The Data Scientist will work with the team to build and optimize models, interpret data, and support product development using massive data sets for advertising effectiveness.

As a Computer Vision Data Scientist, you will create and optimize AI solutions in regulated environments, collaborating with teams to deploy machine learning models and improve outcomes across healthcare settings.

The Data Scientist L6 leads the technical strategy for Netflix's Games Portfolio Team, focusing on forecasting, metrics ecosystems, audience insights, and model development while mentoring team members and ensuring production-grade data products.

As a Senior Data Scientist, you will develop statistical models and machine learning algorithms to improve patient enrollment and trial management while ensuring compliance in a healthcare data environment.

This role involves partnering with sales to design data-driven solutions, engaging with customers, and supporting pre-sales engagements.

Lead design and evolution of a multimodal document understanding and structured extraction platform. Build multimodal model strategy and multi‑agent orchestration, fine‑tune models, define metrics, ensure quality controls, and integrate outputs into business systems.

The Senior Data Scientist designs and implements systems for manufacturing analytics, develops optimization models in Python, builds data pipelines, and collaborates with stakeholders to enhance decision-making frameworks.

The Lead Data Scientist will build pricing systems, lead experiments, mentor teammates, and influence strategy across various departments based on data-driven insights.