Lead Data Scientist Jobs

Lead Data Scientist

Prism Data

Location:
United States, NYC or San Diego (La Jolla/UTC)

Category:
IT - Software Development

Contract Type:
Not provided

Salary:

140000.00 - 160000.00 USD / Year

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Job Description:

Prism is seeking a Lead Data Scientist who will make high-impact, hands-on contributions that sustain and advance Prism’s industry-leading position. Reporting directly to the Head of Data Science, the Lead Data Scientist will conduct R&D for next-generation solutions, test and present Prism products’ effectiveness at solving prospects’ and clients’ business problems, produce insights that inform external thought leadership, collaborate with cross-functional partners to enhance operations, and play a senior individual contributor role on a growing team of data scientists.

Job Responsibility:

Maintain and advance existing analytical product suite
Enhance core cash flow underwriting offerings as new data elements become available
Develop next-generation versions of products to boost stability, predictive accuracy, and relevancy to emerging use cases
Develop new products for new market opportunities using novel data assets
Demonstrate best practices in transparent modeling approaches to enable easy client adoption
Support sales, revenue attainment, and thought leadership
Conduct proof of concept analyses of the efficacy of Prism products in the context of clients’ business problems, and present results and insights
Support new and existing clients by guiding them on score cutoffs and the use of powerful custom attribute sets for their business
Educate clients on technical product knowledge
Contribute analysis to thought leadership content delivered by Prism executives in white papers and industry conferences
Streamline technical operations
Support product implementations in the proprietary platform that powers the products and enables high performance
Monitor product performance to ensure stability and power
Identify issues and improvement opportunities
Ensure internal processes are scalable, repeatable, and continuously improving, especially with the proof of concept analysis process
Lead and communicate
Successfully improvise and handle new situations using judgment and expertise developed through experience
Own time and task management of assigned projects, some of which may include coordinating the contributions of others
Demonstrate exceptional oral, written, and interpersonal communication of complex technical information in a simplified manner to various audiences
Independently and effectively engage in cross-team discussions to direct deliverables, deadlines and handoffs

Requirements:

Bachelor’s degree in Statistics, Data Science, Math, Industrial Engineering, or similar quantitative discipline required
4+ years of experience as a Data Scientist or Statistician, preferably in credit risk or financial services
Research & development of new attributes, models, decision strategies, and/or analytic capabilities
Customer-facing testing of data or analytic solutions (e.g., credit risk scores, alternative data, fraud prevention, etc.)
Collaboration with business teams to understand and address business problems
Modeling experience in the latest AI and machine learning approaches
Mastery of rudimentary modeling approaches (e.g., regression, decision trees)
Knowledge of data labeling/categorization, feature development and selection, model design and training, testing, coding, implementation, monitoring, and governance
Financial services industry data expertise, including types of data sources applicable to different types of business decisions based on regulatory factors
Experience evaluating alternative statistical approaches, including review of academic papers on new techniques and ideas, and justifying which approach is best suited for which problems and why
Ability to mentor and QA the hands-on work of junior data scientists
Languages: Python, SQL

Nice to have:

Master’s or PhD is a plus
Cash flow underwriting analytics experience is a strong plus
Expertise building Gradient Boosting models is a plus
Experience with Natural Language Processing, Large and Small Language Models, and transformer models is a strong differentiator

What we offer:

medical
dental
vision
401(k)
equity-based compensation

Additional Information:

Job Posted:
December 11, 2025

Employment Type:

Fulltime

Work Type:

Hybrid work

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