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Top Hybrid Data Science Jobs in San Francisco, CA
Artificial Intelligence • Healthtech • Professional Services • Analytics • Consulting
As an Applied AI Scientist, you will develop advanced algorithms for complex problem-solving, apply statistical techniques on large datasets, and research emerging technologies for analytical platforms. You'll contribute to the firm's thought leadership and own the development of assets for scalable capabilities.
Top Skills:
PysparkPython
Artificial Intelligence • Healthtech • Professional Services • Analytics • Consulting
Lead the development lifecycle of ML-based products, architect AI data products, engage with clients, and direct teams to solve complex problems. Oversee research and design for new product lines while publishing industry-leading insights and fostering talent through recruiting and training.
Top Skills:
Python
Artificial Intelligence • Healthtech • Professional Services • Analytics • Consulting
The Data Science Manager will lead the development of ML-based products, architect AI-enabled data solutions, and handle complex cross-functional challenges. They will also engage with clients, train talent, and contribute to firm strategy.
Top Skills:
Python
Artificial Intelligence • Cloud • HR Tech • Information Technology • Software
As a Staff Applied Research Scientist at ServiceNow, you will use your AI/ML expertise to develop and enhance Large Language Models (LLMs) for enterprise applications. Your responsibilities will include researching, designing, implementing, and training models while collaborating with a team to deliver high-quality AI-powered software solutions that solve real-world challenges.
Top Skills:
Python
Artificial Intelligence • Big Data • Healthtech • Machine Learning • Software • Biotech
The Biostatistical Manager will provide strategic input for product pre-launch and post-launch activities, assist in study protocol preparation, statistical analysis plan development, and lead reporting for clinical and real-world evidence studies. Responsibilities include collaborating with teams, managing publications, and advancing statistical methodologies relevant to industry developments.
Top Skills:
R,Sas
Featured Jobs
Fintech • Financial Services
Lead the growth data science efforts, analyzing user behavior, developing attribution models for marketing efficiency, conducting customer journey analysis, and designing experiments to optimize strategies. Create reporting dashboards and segmentation strategies based on propensity models, translating insights into business implications while collaborating with product and marketing teams.
Top Skills:
PythonSQL
20 Days Ago
Financial Services
The Machine Learning Scientist will apply advanced machine learning methods to speech AI and NLP, develop models for real-world applications, collaborate with various teams, and contribute to large-scale machine learning initiatives within the bank.
Top Skills:
Deep LearningMachine LearningNlpReinforcement LearningSpeech Recognition
Other
As a Data Scientist II at Tinder, you will analyze user behavior data to inform strategic decisions, collaborate across various teams, conduct A/B testing, and refine recommendation algorithms to enhance user engagement.
Top Skills:
PythonRSQL
Artificial Intelligence • Information Technology • Machine Learning
The Lead Data Scientist will transform data into actionable insights to optimize marketing strategies, develop predictive models, and enhance customer acquisition and retention efforts. Responsibilities include collaborating with cross-functional teams, building experimentation frameworks, and delivering impactful data insights to stakeholders.
Top Skills:
PythonSQL
Artificial Intelligence • Consumer Web • Wearables
As a part of the ML research team, you will design algorithms to decode EMG and neural signals, develop deep learning architectures, manage large-scale data collection, and collaborate to innovate seamless human-computer interactions.
Top Skills:
Python
Top hybrid Companies in San Francisco, CA Hiring Data + Analytics Roles
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