The Data Scientist will process and analyze data, build and evaluate models, and provide insights to support decision-making and improve outcomes.
- Process, cleanse, and verify the integrity, quality, and reliability of data used for analysis, reporting, and predictive modeling.
- Perform ad-hoc and recurring analyses, presenting results and insights in a clear, concise manner to support business decision-making.
- Analyze large, complex datasets to extract meaningful insights, selecting appropriate statistical, analytical, and machine learning techniques based on the problem context.
- Select relevant features and build, evaluate, and optimize classification and predictive models using machine learning techniques.
- Apply data mining and advanced analytical methods to identify trends, patterns, and relationships within structured and unstructured data.
- Extend and enrich customer and business datasets using third-party data sources when required to improve analytical outcomes.
- Enhance data collection and preparation procedures to ensure relevant, high-quality inputs for analytic and machine learning systems.
- Use data modeling and evaluation strategies to identify patterns and accurately predict unseen or future instances.
- Collaborate with business and technical stakeholders to align analytical solutions with business objectives.
- Adhere to the Underwriters Laboratories Code of Conduct and follow all physical and digital security, data governance, and compliance practices.
- Perform other related duties as directed in support of analytics and data science initiatives.
Top Skills
Analytics
Data Mining
Data Modeling
Machine Learning
Statistical Analysis
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San Francisco and the surrounding Bay Area attracts more startup funding than any other region in the world. Home to Stanford University and UC Berkeley, leading VC firms and several of the world’s most valuable companies, the Bay Area is the place to go for anyone looking to make it big in the tech industry. That said, San Francisco has a lot to offer beyond technology thanks to a thriving art and music scene, excellent food and a short drive to several of the country’s most beautiful recreational areas.
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- Number of Tech Workers: 365,500; 13.9% of overall workforce (2024 CompTIA survey)
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- Funding Landscape: $50.5 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Sequoia Capital, Andreessen Horowitz, Bessemer Venture Partners, Greylock Partners, Khosla Ventures, Kleiner Perkins
- Research Centers and Universities: Stanford University; University of California, Berkeley; University of San Francisco; Santa Clara University; Ames Research Center; Center for AI Safety; California Institute for Regenerative Medicine
