Apply

Ready to go for it?

AI Apply speeds things up—apply directly if you prefer.

FREE ACCESS
5,000–10,000 jobs/day
Scoutfield Logo

See all jobs on Scoutfield

Search thousands of fresh jobs every day.

Discover
  • Fresh listings
  • Fast filters
  • No subscription required
Create a free account and start exploring right away.
Foley

Senior Data Scientist

Foley

. Lead Foley's research process alongside the Chief AI Officer, from hypothesis to evidence to recommendation .

Posted 11/4/2026full-timeRemote • United StatesSenior💰 $140,000 - $200,000 per yearWebsite

Core Competencies

Role fit
Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates extensive experience in end-to-end data science processes, including exploratory data analysis, hypothesis development, feature engineering, and model validation. Proficient in communicating complex findings and recommendations to both technical and non-technical stakeholders.

Highest-signal resume keywords
End-To-End Data Science ExperienceFluency In PythonFluency In SQLStrong Business Analytics SkillsExceptional Communication Skills

ATS Keywords

Tailor your resume
Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills
Exploratory Data AnalysisHypothesis DevelopmentFeature EngineeringModel ValidationStatistical AnalysisError AnalysisBias And Fairness ReviewsForecastingData Gap AssessmentProduction Model Development
Soft Skills
Exceptional Written CommunicationExceptional Verbal Communication
Industry Keywords
Data ScienceConsultingCompliance PredictionFraud DetectionTransportationLogisticsRegtechData ProductsEntity ResolutionText And Document Data

Tech Stack

Tools & technologies
PythonSQL

About the role

Key responsibilities & impact
  • Lead Foley's research process alongside the Chief AI Officer, from hypothesis to evidence to recommendation
  • Partner with business leaders, customers, and subject matter experts to identify data-science opportunities in driver risk, fraud, anomalies, retention, pricing, and compliance prediction
  • Size opportunities, frame analyses, and communicate business cases in plain language
  • Work with ML engineers and data engineers to develop forecasts, leading indicators, and production models
  • Lead exploratory data analysis, hypothesis-tree development, domain-driven feature engineering, and model validation
  • Perform holdout validation, leakage checks, calibration, error analysis, and bias and fairness reviews
  • Assess the strategic value of Foley's data, identify data gaps, 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 findings into product proposals and define success metrics before launch

Requirements

What you’ll need
  • Senior-level, end-to-end data science experience, including 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 and ability to size business opportunities
  • Consulting or consulting-adjacent experience, such as strategy, operations, PE value creation, due diligence, or an internal strategy or analytics team
  • Experience 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
  • Experience partnering with engineering to ship models to production
  • Ability to work in one of the listed U.S. 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, or Wisconsin
  • Legal authorization to work in the United States
  • Successful completion of a background check and, if applicable, a drug screening
  • Additional advantageous experience in transportation, logistics, fleet, regtech, compliance, forecasting, scenario planning, data products, graph data, entity resolution, or text and document data with LLMs

Benefits

Comp & perks
  • Medical coverage
  • Dental coverage
  • Vision coverage
  • 401(k) with company match
  • Paid time off
  • Paid holidays
  • Wellness programs
  • Employee assistance program
  • Bonus