DATA SCIENTIST

Dollar General • Goodlettsville, TN

2d

About The Position

This technical role within Decision Science & Analytics supports the Digital Team with project work, insights, and analytics related to customer web and app behavior. Areas of focus include digital engagement metrics, digital coupon and cashback usage, myDG loyalty program enrollment, and other digital initiatives. The role works collaboratively with the Digital team, internal IT resources, other third parties, and the broader Decision Science organization.

The Data Scientist uses SQL and Python/PySpark to investigate business questions, develop actionable insights, and communicate findings to non-technical stakeholders. The position also builds and maintains end-to-end, automated analytics workflows and reporting, particularly in PowerBI, and develops scalable customer-level models for the Digital team.

Requirements

• High-level experience with SQL, including writing and understanding complex queries and using data and SQL to answer business questions.
• Intermediate to advanced PowerBI skills, including setting up data frameworks for input into PowerBI.
• Experience developing code to combine, clean, and prepare data for analysis and, in some cases, modeling using SQL, Python, and/or PySpark.
• Strong problem-solving skills using expertise, business judgment, and robust quantitative analyses.
• High-level written, verbal, and presentation communication skills, including PowerPoint.
• Ability to explain complex analytics topics and insights to non-technical audiences, including model accuracy and feature importance.
• Practical experience ingesting and manipulating large volumes of data, including millions of records.
• Proficiency with common analytical platforms, including distributed compute platforms such as Databricks and Snowflake.
• 2–5 years of hands-on, non-academic industry experience in Data Science or an equivalent quantitative job title.
• A bachelor's degree in a highly quantitative or STEM field may be considered with the right experience.

Nice To Haves

• Experience with code management tools such as GitHub; familiarity with CI/CD practices is preferred.
• Experience with DBT is a plus.
• Experience in retail, marketing, or media networks is preferred.
• A master's degree in Data Science, Statistics, Economics, Computer Science, Mathematics, or a related applied quantitative field is preferred.

Responsibilities

• Become an expert in digital data sources and use data, primarily with SQL and Python/PySpark, to answer business questions across initiatives; translate projects and questions into actionable insights and present findings to non-technical stakeholders.
• Understand data sources, frameworks, and setup for existing and new reporting, particularly in PowerBI.
• Create automated, reusable analytics workflows from end to end, including developing and maintaining SQL/Python code and delivering reports or PowerBI dashboards.
• Gather, analyze, and visualize customer digital behavior insights and present data-driven stories in PowerPoint.
• Develop dynamic, productionized, and scalable customer-level models based on the Digital team's business needs.

What This Job Offers

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