Impress employers and recruiters.
Choose from hundreds of resume examples.

Impress employers and recruiters.
Choose from hundreds of resume examples.
Tailor your resume to this Senior Data Scientist role.
Rezi rewrites your resume against Foley's job description. Free.

Tailor your resume to this Senior Data Scientist role.
Rezi rewrites your resume against Foley's job description. Free.
Don't guess if your resume is good enough.
See how it scores against the Senior Data Scientist posting at Foley — free, in seconds.

Don't guess if your resume is good enough.
See how it scores against the Senior Data Scientist posting at Foley — free, in seconds.
About the Role
As a Senior Data Scientist on Foley's Value Creation Office (VCO) team, you will lead the research process alongside the Chief AI Officer, identifying and leveraging value within Foley's data to develop models, product features, and new offerings. This role is consulting-adjacent, requiring collaboration with business leaders to frame key questions and with engineering teams to provide a forward-looking business perspective.
Responsibilities
- Lead the research process, setting the agenda and managing the process from hypothesis to recommendation.
- Partner with business leaders, customers, and subject matter experts to identify data science opportunities in areas like driver risk, fraud, retention, pricing, and compliance.
- Develop forecasts, leading indicators, and models to provide leadership with a forward-looking view of the business.
- Apply rigorous data science methods including EDA, feature engineering, model building, and validation with checks for leakage, error, and bias.
- Assess the value of Foley's data, identify gaps, evaluate external data sources, and contribute to data product strategy and pricing.
- Communicate model capabilities, limitations, and confidence levels to executives, customers, and engineers.
- Translate findings into product proposals and define success metrics for new launches.
Requirements
- Senior-level, end-to-end data science experience including EDA, hypothesis development, feature engineering, modeling, and validation.
- Exceptional written and verbal communication skills, with experience presenting to executives and non-technical audiences.
- Strong business analytics skills to identify opportunities where analysis can influence decisions and quantify potential impact.
- Consulting or consulting-adjacent experience, such as strategy, operations, PE value creation, due diligence, or internal strategy/analytics, including leading research processes.
- Strong statistics knowledge, including identifying noise, leakage, and confounding, and communicating uncertainty.
- Fluency in Python and SQL.
- Experience partnering with engineering teams to deploy models into production.
Skills
- Data Science
- Research
- Business Analytics
- Communication
- Statistics
- Python
- SQL
- Machine Learning
- Data Engineering
- Forecasting
- Scenario Planning
- Graph Data
- Entity Resolution
- Text Data
- LLMs
Location
- Remote
Work Type
- Full-time
Experience Level
- Senior
Benefits
- Medical coverage
- Dental coverage
- Vision coverage
- 401(k) with company match
- Paid time off
- Holidays
- Wellness programs
- Employee assistance program
About the Company
- Foley is reimagining how safety-sensitive industries hire, stay compliant, and manage risk.
- We have evolved into a modern SaaS company with an all-in-one, AI-ready platform.
- Our platform assists transportation, construction, distribution, and utility businesses in operating faster, smarter, and safer.
- We are looking for curious, strategic thinkers who thrive in complexity and are motivated by making an impact.
- Our team is passionate about building great products and supporting customers.
- Our core values are Teammateship, Grit, and Innovation.
- We approach challenges with optimism, humor, and a shared commitment to success.
Equal Opportunity
- Foley is an Equal Opportunity Employer.
- We celebrate diversity and are committed to creating an inclusive environment for all employees.
- All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity or expression, national origin, age, disability, protected veteran status, or any other legally protected characteristic.