Top Data Science Jobs in Santa Cruz, CA
As a Senior Data Scientist at Pie, you will develop best-in-class AI/ML solutions for commercial insurance, focusing on pricing, underwriting, and claims models. Collaborating with multiple teams, you'll enhance data-driven decision-making, conduct model diagnostics, and support deployment and automation of scalable ML pipelines that meet real business challenges.
As a Senior Revenue Operations Analyst, you will oversee sales process planning and optimization, ensuring data accuracy in Salesforce and improving revenue operations. Key responsibilities include opportunity management, data analysis, and reporting, collaborating with sales and IT teams to enhance processes and outcomes.
As an AI Research Scientist, you will conduct applied research to advance machine learning techniques in energy markets, investigate new technologies, design solutions for unsolved problems, and publish findings in academic papers. Key responsibilities include developing mathematical understandings of energy systems, analyzing experiments, and implementing ML techniques.
The Optimization Research Scientist will focus on applied research in mathematical optimization methods, particularly in the context of energy markets. Responsibilities include designing optimization formulations, promoting mathematical modeling, authoring research papers, and coding in Python using optimization libraries. A strong publication record and a PhD in a quantitative field are required.
As a Senior AI Research Scientist, you will apply machine learning and forecasting techniques to accelerate the decarbonization of electricity systems, conduct applied research, develop broad solutions for energy markets, mentor engineers, and publish findings in academic venues.
As a Research Scientist, you will conduct research focusing on AGI, design and implement AI algorithms and systems, collaborate with teams, and present findings.
The Lead Data Scientist will build and mentor a team, define the technical vision, design advanced search algorithms, develop machine learning models to personalize user experiences, conduct data analysis, and collaborate with product teams to turn business needs into data projects.
The Senior Research Scientist will oversee and conduct systematic literature reviews and quantitative evidence synthesis studies, develop client-ready deliverables, manage project components, ensure timely delivery, and mentor junior staff while contributing to proposals and presentations.
The Data Annotation Specialist will review and label video data to support machine learning projects, maintain organized records, and ensure data quality standards. This part-time role offers flexible hours while contributing to improving products for dog owners.
As a Staff Software Engineer on the Marketing Data Science team, you will lead R&D for data science products, collaborate with engineering and product teams, support stakeholders, and educate colleagues on data science applications in marketing and advertising.
As a Staff Data Scientist in Marketing Data Science, you will lead R&D on data science products, collaborate with engineering and product teams, provide technical support to stakeholders, and educate others on data science applications in marketing and advertising.
The Data Scientist is responsible for applying data science principles and methods to solve complex problems and deliver actionable insights. Key responsibilities include using statistical and algorithmic techniques, managing R&D processes, and communicating insights to stakeholders. The role emphasizes collaboration, autonomy, and innovation in crafting data-driven solutions.
The Quantitative Scientist will be responsible for data cleaning, modeling, inference, and interpretation. They will leverage expertise in biostatistics, epidemiology, and data science to support commercial projects and internal research, working closely with clinical data from electronic health records to solve complex real-world problems.
Top Companies in Santa Cruz, CA Hiring Data + Analytics Roles
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