Baselayer is looking to solve the problem of verifying any business, automating KYB, and monitoring real-time risk for 2,200+ financial institutions
Requirements
- 1-3 years of experience in data science, working with Python and building data-driven models
- Strong foundation in statistics and machine learning, with particular interest in applying advanced techniques to real-world problems
- Comfortable working with large-scale datasets and enjoy extracting meaningful insights from complex information
- Experience with AI/ML technologies, including LLMs
- Strong understanding of data integrity and ethical considerations, especially when working with sensitive information in regulated environments like KYC/KYB
- Ability to work with cutting-edge AI/ML technologies
- Experience with data pipeline development and data visualization tools
Responsibilities
- Data Analysis & Insight Generation: Conduct comprehensive analyses of large datasets to extract actionable insights that drive business decisions in the GTM and identity verification space
- Predictive Modeling: Develop statistical and machine learning models to identify patterns, predict outcomes, and optimize processes for KYC/KYB workflows
- Data Pipeline Development: Collaborate with engineering teams to design and implement efficient data pipelines that transform raw data into useful features for analysis and modeling
- AI/ML Application: Work closely with ML engineers to apply advanced techniques including LLMs to solve specific business problems within the identity verification domain
- Experiment Design & Evaluation: Design and execute experiments to validate hypotheses, measure impact of changes, and continuously improve data science solutions
- Data Visualization & Communication: Create clear, compelling visualizations and presentations that effectively communicate complex findings to technical and non-technical stakeholders
- Feature Engineering: Identify and develop innovative features from raw data sources to enhance model performance and enable new capabilities
Other
- 1-3 years of experience
- Hybrid in SF, in office 3 days/week
- Flexible PTO
- Healthcare, 401K
- Smart, genuine, ambitious team
