Who you are
- Senior-level, end-to-end data science experience: EDA, hypothesis development, feature engineering, modeling, and validation
- Exceptional written and verbal communication, including presenting findings and recommendations to executives and non-technical audiences
- Strong business analytics skills: you can look at a business and a dataset, see where analysis would change a decision, and size the opportunity
- Consulting or consulting-adjacent experience, such as strategy, operations, PE value creation, due diligence, or an internal strategy or analytics team, including leading a research or analytics process from framing the question to delivering a recommendation
- Strong statistics, including recognizing noise, leakage, and confounding, and communicating uncertainty clearly
- Fluency in Python and SQL, and experience partnering with engineering to ship models to production
You might thrive in this role if you also have
- Experience in transportation, logistics, or fleet, such as trucking, DOT/FMCSA, insurance, or safety
- Experience in regtech or compliance, such as background screening, FCRA, drug testing, or other regulated data
- Experience with forecasting, scenario planning, or leading-indicator work used by an executive team
- Experience turning a model or analysis into a product customers pay for
- Experience with data sourcing, licensing, partnerships, pricing, or data product strategy
- Experience with graph data, entity resolution, or text and document data with LLMs
Location: Location: This role is primarily remote (US based), with the expectation of occasional visits to our offices for team collaboration, training, or company events.
This role may be based remotely out of the following states: Arizona, California, Colorado, Connecticut, Florida, Georgia, Illinois, Indiana, Kansas, Massachusetts, Maryland, Michigan, Missouri, Nebraska, New Hampshire, New Jersey, New York, North Carolina, Pennsylvania, Rhode Island, South Carolina, Tennessee, Texas, Virginia, Wisconsin