Director, Data Science & Advanced Analytics (Remote Eligible)
Job
Dollar Tree
Remote
$190,000 Salary, Full-Time
Review key factors to help you decide if the role fits your goals.
Pay Growth
?
out of 5
Not enough data
Not enough info to score pay or growth
Job Security
?
out of 5
Not enough data
Calculating job security score...
Total Score
85
out of 100
Average of individual scores
Skill Insights
Compare your current skills to what this opportunity needs—we'll show you what you already have and what could strengthen your application.
Job Description
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.
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.
- 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:
- Advanced Analytics & Modeling
- 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
- Executive Insights & Decision Support
- 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
- Cross-Functional Collaboration
- 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
- Vendor & Analytics Operating Model
- 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
- Business Impact
- 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
Your Required Skills and Experience:
- 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 audiencesStrategic Thinking:
Focus on business impact — not just technically correct analysis, but insight that drives valueCross-Functional Collaboration:
Lead discussions with finance, operations, technology, and vendor teams to execute analytics initiativesData Storytelling & Visualization:
Craft compelling narratives supported by charts, models, and dashboardsPreferred Requirements:
- 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
- Our success is a team effort —
- when we reach our goals, you'll be eligible for a yearly bonus!
Your Perks and Benefits:
- We offer a wide variety of rewards to support your health, wealth, and mental well-being. In addition to medical, pharmacy, dental, and vision insurance, we offer:
- 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
- And much more!
- Start Rate = $180,000-$200,000 based on experience plus 25% target bonus and equity.
- The company offers 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.
Who We Are:
- At Dollar Tree, we make a difference in the lives of our customers every day by exceeding their expectations and delivering value - it's what our business is built on.
- The Value of You.
- _Dollar Tree is an Equal Opportunity Employer committed to complying with the Americans with Disabilities Act (ADA) and providing reasonable accommodations to qualified individuals with disabilities.
Similar remote jobs
Volkswagen Group DE
Ashburn, VA
Posted2 days ago
Updated22 hours ago
Similar jobs in Chesapeake, VA
Atlantic Heating & Cooling Service
Chesapeake, VA
Posted2 days ago
Updated22 hours ago
Shaw Boiler and Mechanical
Chesapeake, VA
Posted2 days ago
Updated22 hours ago
Domino's
Chesapeake, VA
Posted2 days ago
Updated22 hours ago
Similar jobs in Virginia
Amazon
Arlington, VA
Posted2 days ago
Updated22 hours ago