Baselayer is an intelligent business identity platform trusted by over 2,200 financial institutions. They are seeking a Data Scientist who will conduct comprehensive analyses, develop predictive models, and collaborate with engineering teams to enhance data-driven solutions in the identity verification domain.
Responsibilities
- Conduct comprehensive analyses of large datasets to extract actionable insights that drive business decisions in the GTM and identity verification space
- Develop statistical and machine learning models to identify patterns, predict outcomes, and optimize processes for KYC/KYB workflows
- Collaborate with engineering teams to design and implement efficient data pipelines that transform raw data into useful features for analysis and modeling
- Work closely with ML engineers to apply advanced techniques including LLMs to solve specific business problems within the identity verification domain
- Design and execute experiments to validate hypotheses, measure impact of changes, and continuously improve data science solutions
- Create clear, compelling visualizations and presentations that effectively communicate complex findings to technical and non-technical stakeholders
- Identify and develop innovative features from raw data sources to enhance model performance and enable new capabilities
- Establish metrics and monitoring systems to track the effectiveness of data science solutions, identifying opportunities for refinement and optimization
- Stay current with the latest research and techniques in data science and machine learning, evaluating new approaches for potential application to business challenges
Skills
- 1-3 years of experience in data science, working with Python and building data-driven models
- Comfortable working with large-scale datasets and enjoy extracting meaningful insights from complex information
- Strong foundation in statistics and machine learning, with particular interest in applying advanced techniques to real-world problems
- Prioritize data integrity and ethical considerations, especially when working with sensitive information in regulated environments like KYC/KYB
- Keen eye for detail and take pride in creating clear, interpretable analyses while optimizing for actionable insights
- Thrive in a high-trust, ownership-focused environment and are comfortable translating between technical concepts and business objectives
- Problem-solver who navigates ambiguous data challenges confidently
- Proactive self-starter who thrives in dynamic settings
- Incredibly intelligent and analytical. You take pride in your data-driven solutions
- Highly feedback-oriented. We believe in radical candor and using feedback to get to the next level
Benefits
- Hybrid in SF. In office 3 days/week
- Flexible PTO
- Healthcare
- 401K
- Smart, genuine, ambitious team
Company Overview
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