Senior Data Scientist

Foley•Boston, MA

1d•Remote

About The Position

As a Senior Data Scientist on Foley’s Value Creation Office team, you will lead the research process alongside the Chief AI Officer. You will identify and demonstrate the value in Foley’s data, then help turn insights into models, product features, and new offerings. The role is consulting-adjacent and involves working with business leaders to frame important questions and with machine learning and data engineering teams to create forward-looking views of the business. Foley’s data includes driver records, compliance events, violations, screening results, and customer data. Exceptional communication and strong business analytics are central to the role. The position is primarily remote within the United States, with occasional visits to Foley offices for team collaboration, training, or company events. It may be based remotely in the states listed in the job posting.

Requirements

Senior-level end-to-end data science experience, including exploratory data analysis, 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, including identifying where analysis could change a decision and sizing the opportunity.
Consulting or consulting-adjacent experience in areas such as strategy, operations, private equity value creation, due diligence, or internal strategy or analytics, including leading a research or analytics process from framing a question to delivering a recommendation.
Strong statistical skills, including recognizing noise, leakage, and confounding and clearly communicating uncertainty.
Fluency in Python and SQL.
Experience partnering with engineering teams to ship models to production.

Nice To Haves

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.

Responsibilities

Partner with the Chief AI Officer to set the research agenda, prioritize questions, and lead research from hypothesis through evidence and recommendation.
Work with business leaders, customers, and subject matter experts to identify and size data science opportunities, including driver risk, fraud and anomalies, retention, pricing, and compliance prediction.
Collaborate with machine learning and data engineers to develop forecasts, leading indicators, and models that help leadership anticipate business outcomes and act earlier.
Learn how Foley’s data is created; lead exploratory data analysis, develop and test hypothesis trees, engineer domain-driven features, and build production-ready models.
Validate models using holdouts, leakage checks, calibration, error analysis, and bias and fairness reviews.
Assess the value of Foley’s data, identify gaps worth closing, evaluate external data for purchase or licensing, and help shape and price data products.
Explain model capabilities, limitations, and confidence to executives, customers, and engineers.
Turn research findings into product proposals and define success metrics before launch.