Lead Manager Pricing Data Science

British American Tobacco•Winston-Salem, NC

9d•Hybrid

About The Position

The Lead Manager Pricing Data Science provides analytical support for pricing and investment strategy, translating commercial questions into models, scenarios, and actionable recommendations. The role combines quantitative capabilities with business acumen to support data-driven decision making across the organization. The position develops analytical frameworks and statistical and machine learning models to evaluate pricing, promotional investment, and competitive activity. It assesses potential impacts on volume, share, profitability, and return on investment, and translates complex findings into business recommendations and executive-ready materials. The role also uses Python, SQL, and Databricks for analytical work, and identifies opportunities to improve analytical approaches, tools, and data sources. Reynolds American describes a collaborative environment focused on continuous improvement, internal advancement, and employee development. The position is based in Winston-Salem; the posting also includes the hashtag #LI-Hybrid.

Requirements

Bachelor’s degree in a quantitative discipline or equivalent relevant experience.
Approximately 3–5 years of experience in data science, pricing analytics, commercial analytics, revenue management, economics, or a related field.
Strong quantitative problem-solving skills and experience applying statistical methods to business questions.
Proficiency in SQL and working experience with Python for data analysis.
Familiarity with Databricks or a similar cloud-based analytics environment.
Ability to translate complex analysis into concise business recommendations.
Strong communication and collaboration skills, with the ability to work effectively across functions.

Responsibilities

Develop analytical frameworks to evaluate pricing, promotional investment, and competitive activity.
Build and refine statistical and machine learning models to inform pricing and investment strategy.
Model scenarios to assess potential impacts on volume, share, profitability, and return on investment.
Translate complex analytical findings into clear, actionable business recommendations.
Establish repeatable methodologies to improve consistency and objectivity in commercial decisions.
Develop executive-ready analyses and materials supporting strategic decision making.
Utilize Python, SQL, and Databricks for data analysis, modeling, and analytical workflows.
Identify opportunities to improve analytical approaches, tools, and data sources.
Support a culture of collaboration, continuous improvement, and data-driven decision making.

Benefits

401(k) plan with pre-tax and post-tax savings, a company match on eligible contributions up to 6%, and an additional 3% company contribution.
Comprehensive health and welfare benefits, including medical, dental, vision, and prescription drug coverage.
Health Savings Account start-up contribution for employees who elect the high deductible health plan.
Health Care and Dependent Care flexible spending accounts.
Employee assistance program with free counseling sessions for employees and dependents.
Company-paid life insurance and accidental death or dismemberment insurance.
Voluntary insurance options at group rates.
Tuition reimbursement and student loan support.
Dependent scholarship programs.
Confidential personal financial counseling.
On-site health centers and 24/7 fitness centers at certain company locations.
Charitable giving matching grants program.
Health-care concierge service.
Volunteer service opportunities.
Extensive training opportunities and access to online learning platforms and personalized growth programs.
Company vehicle for eligible employees.
Mobile phone allowance for eligible employees.
Paid sick and personal time, vacation, company holidays, and personal holidays.
Paid parental leave and temporary reduced work schedule opportunity.
Funeral leave, short-term disability leave, long-term disability leave, jury duty leave, military leave, released time for children’s education, community outreach leave, and other paid leave as required by law.
Opportunities for internal advancement and career development.