Director, Data Science & Advanced Analytics (Remote Eligible)

Dollar Tree • Chesapeake, VA

2d • $180,000 - $200,000 • Remote

About The Position

Your analytical expertise, strategic thinking, and ability to translate complex data into actionable business insights make you a great fit for our Director, Data Science & Advanced Analytics position. Join our dynamic team today and find a rewarding career with a company that values you and all you bring to the table. About Your Role: As a Director, Data Science & Advanced Analytics at Dollar Tree’s corporate office, you’ll lead advanced analytics that inform key business strategies and investment decisions across our retail and merchandise portfolio. You will partner closely with senior leadership to analyze rich datasets—including store transactions, demographics, operational metrics, resource planning, media spending, and platform metrics—to build models that explain and forecast performance drivers. You will also help operationalize analytics capabilities through scalable processes and vendor partnerships, including collaboration with offshore analytics partners. With over 9,000 retail locations, $20 billion in annual sales, and more than $1 billion in annual investments, this role has a significant opportunity to influence strategic decisions and drive meaningful business impact. Your day-to-day job duties include, but are not limited to, the following:

Requirements

• Seasoned leader with 10+ years of relevant experience in data science, advanced analytics, or related quantitative role (finance, operations research, econometrics, etc.) with strong track record of modeling business outcomes
• Master’s Degree in Statistics, Applied Math, Economics, Data Science, Computer Science, or related field
• Deep statistical knowledge and expertise with predictive modeling, regression, causal inference, time series, and other quantitative methods
• Demonstrated ability to communicate complex analytical concepts to non-technical senior stakeholders, including C-suite executives
• Proficiency with SQL and at least one scripting language for analytics (Python, R, SAS)
• Experience with data visualization tools (e.g., Tableau, Power BI) and dashboard delivery
• Business Communication: Translate analytical insights clearly and convincingly for executive audiences
• Strategic Thinking: Focus on business impact — not just technically correct analysis, but insight that drives value
• Cross-Functional Collaboration: Lead discussions with finance, operations, technology, and vendor teams to execute analytics initiatives
• Data Storytelling & Visualization: Craft compelling narratives supported by charts, models, and dashboards

Nice To Haves

• Ph.D. in Statistics, Applied Math, Economics, Data Science, Computer Science, or related field
• Prior experience working with large retail datasets and multi-dimensional performance metrics
• Prior experience leading vendor/partner analytics engagements
• Demonstrated leadership in analytics initiatives that influenced business strategy

Responsibilities

• Lead development of statistical and predictive models to quantify the impact of investments and operational initiatives on store performance, profit, and growth
• Drive the end-to-end analytics lifecycle: data sourcing, feature engineering, model development/validation, and impact measurement
• Champion best practices in data quality, reproducibility, model governance, and documentation
• Translate complex analytical outputs into clear, actionable insights for senior business leaders with compelling storytelling and visualizations
• Build dashboards and reporting frameworks to communicate portfolio performance and scenario forecasts to executive audiences
• Partner closely with finance, operations, real estate, merchandising, marketing, HR, and other cross-functional teams to frame business problems, establish KPIs, and align on analytical approaches
• Establish a collaborative operating model with external analytics vendors (e.g., partners in a low-cost/high-talent location), including specification of requirements, quality assurance, and delivery oversight
• Models that materially improve forecasting accuracy and investment evaluation
• Consistent, executive-grade insights that influence strategic decisions
• Strong collaboration between internal teams and external analytics partners
• Scalable analytics processes and tools that reduce time-to-insight and increase adoption

Benefits

• Employee Assistance Program
• Retirement plans with matching contribution
• Employee Stock Purchase Program
• Educational Assistance
• Access to PerkSpot, an employee discount platform for goods and services
• Health, Dental, & Vision, a flexible spending account, life and disability insurance benefits, a 401k plan, PTO, paid holidays annually, and an employee stock purchase plan

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level