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Top Data Science Jobs in San Francisco, CA

19 Days Ago
Hayward, CA, USA
Expert/Leader
Expert/Leader
Chemical
The Scientist in the Bioengineering team is responsible for leading bioengineering activities, including fermentation and process development. They will oversee lab-scale bioreactor operations, develop production processes, and collaborate with cross-functional teams. The role includes supervising other researchers, contributing original research ideas, and performing DNA engineering tasks.
Top Skills: Molecular Biology
19 Days Ago
Hybrid
San Francisco, CA, USA
Senior level
Senior level
Artificial Intelligence • Machine Learning • Other
The Research Scientist will investigate fundamental questions related to intelligence and develop software aimed at achieving human-level intelligence. They will collaborate with researchers, mentor a team, run machine learning experiments, and contribute to research in various areas, including reinforcement learning and synthetic data generation.
Top Skills: Machine Learning
Mid level
Artificial Intelligence • Software
The Research Scientist in AI at EvolutionaryScale focuses on advancing both AI and biology through innovative research and product development. Responsibilities include designing research roadmaps, developing AI models, implementing software for research initiatives, and engaging with the scientific community. Collaboration with engineers and scientists is essential to deploy technology for partners.
Top Skills: Python
20 Days Ago
San Francisco, CA, USA
Senior level
Senior level
Social Impact
The Staff Data Scientist will lead data science projects, collaborating with teams to drive insights. Responsibilities include data analysis, reporting KPIs, building forecasting models, developing dashboards, and mentoring team members, ensuring best practices in analytics.
Top Skills: PythonSQL
20 Days Ago
Hybrid
San Francisco, CA, USA
Senior level
Senior level
Biotech
The Senior Scientist in LCMS Peptide Quantitation is responsible for developing and executing quantitative assays for peptides, supporting discovery and preclinical studies in oncology. This role involves chromatography and mass spectrometry methods, cross-functional collaboration, and regulatory submissions.
Top Skills: ChromatographyLcmsMass Spectrometry
20 Days Ago
Remote
5 Locations
Senior level
Senior level
Financial Services
As a Senior Data Scientist, you will build machine learning-powered user features, optimize product feedback loops, conduct experiments for new product impacts, and mentor junior team members. You will collaborate closely with engineering and product teams to deliver data-driven solutions that enhance customer engagement and improve financial products.
Top Skills: PythonSQL
Senior level
Energy
The Research Scientist will leverage expertise in power markets to optimize energy asset management and develop advanced optimization algorithms. Responsibilities include influencing product roadmaps with research findings, leading experiments in energy market analytics, and mentoring team members in scientific methodologies.
Top Skills: JuliaPython
20 Days Ago
Remote
Hybrid
San Francisco, CA, USA
142K-160K Annually
Mid level
142K-160K Annually
Mid level
Edtech • Fintech • Financial Services
The Data Scientist II will design and implement ETL pipelines, extract data for model training, and prototype machine learning models using frameworks like Scikit-learn, TensorFlow, and PyTorch. They will communicate analyses to stakeholders and guide product recommendations through data-driven insights.
Top Skills: Python
20 Days Ago
7 Locations
Junior
Junior
Financial Services
The AI Quantitative Strategist will develop and implement AI/ML models for investment strategies at WorldQuant, collaborating with various teams to enhance trading systems. Candidates should have technical experience in AI techniques and software development.
Top Skills: C++Python
20 Days Ago
Hybrid
San Francisco, CA, USA
Expert/Leader
Expert/Leader
eCommerce • Food • HR Tech • Mobile • Retail
Lead and innovate with machine learning and data science to drive Instawork's products and strategy. Manage a team of ML engineers, spend significant time hands-on with model building, define ML strategies, collaborate with Product teams, mentor data stakeholders, and cultivate a data-driven culture.
Top Skills: PythonSQL
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