Data Scientist at Dollar Tree

Chesapeake, Virginia, United States

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Not SpecifiedCompensation

Mid-level (3 to 4 years), Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

Retail, Supply ChainIndustries

Requirements

Bachelor’s or master’s degree in data science, Statistics, Computer Science, or related field
3-5 years of experience in data science or advanced analytics, with direct exposure to supply chain or operations analytics (5+ years preferred)
Proficiency in Python, R, and SQL; strong experience with BigQuery, GCP, and SQL Server
Hands-on experience with machine learning frameworks (Scikit-learn, TensorFlow, PyTorch, XGBoost)
Knowledge of data architecture, ETL processes, and cloud-based data platforms
Strong understanding of forecasting, optimization, simulation, and statistical modeling in a supply chain context
Experience building and deploying dashboards in Tableau, Power BI
Proven ability to manage projects, mentor junior team members, and collaborate cross-functionally

Responsibilities

Lead the design, development, and deployment of data science solutions that improve supply chain forecasting, inventory management, logistics, and network efficiency
Manage and optimize data architecture across platforms including Google BigQuery, GCP, and SQL Server to ensure data integrity, scalability, and accessibility
Partner with IT, SC leadership, Finance, analytics and operations team to design robust ETL pipelines and ensure high-quality, well-structured datasets for analytics
Build and maintain demand forecasting, labor planning, and transportation optimization models that improve accuracy and reduce costs
Conduct network/scenario modeling and simulations to support decisions on distribution center design, sourcing, transportation routing, and capacity planning
Automate reporting and develop scalable dashboards for supply chain performance monitoring
Mentor junior analysts and provide guidance on modeling, coding, and data engineering best practices
Translate complex business problems into analytical frameworks, delivering clear, actionable insights to executives and operational leaders
Stay current with advancements in cloud computing, data architecture, and supply chain analytics

Skills

Machine Learning

Google BigQuery

GCP

SQL Server

ETL

Demand Forecasting

Inventory Management

Logistics Optimization

Network Modeling

Data Architecture

Python

Cloud Computing

Dollar Tree

Value retailer offering low-cost everyday items

About Dollar Tree

Dollar Tree operates over 8,000 stores and 25 distribution centers, providing a variety of products such as party supplies, home décor, health and beauty items, seasonal goods, and food at low prices. The company sources its merchandise globally, allowing it to offer high-value items that appeal to customers looking for affordable everyday and holiday essentials. Unlike many retailers, Dollar Tree maintains a strict pricing model where most items are priced at one dollar, which helps attract a diverse customer base. The company's goal is to adapt to market changes while ensuring customer satisfaction through a dedicated workforce and creative strategies.

Chesapeake, VirginiaHeadquarters

1986Year Founded

IPOCompany Stage

Consumer GoodsIndustries

10,001+Employees

Risks

Increased competition from Dollarama could impact Dollar Tree's market share.

The multi-price strategy might alienate traditional Dollar Tree customers.

Economic pressures could reduce demand for non-essential product lines.

Differentiation

Dollar Tree offers a wide range of products at extreme value prices.

The company sources merchandise globally to provide high-value items at low costs.

Dollar Tree operates over 8,000 stores across the U.S. and Canada.

Upsides

Expansion of private label brands can increase profit margins and customer loyalty.

Enhancing e-commerce capabilities can capture a larger share of the online retail market.

Partnerships with local suppliers can reduce supply chain disruptions.

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