SR DATA SCIENTIST Job Listing at Dollar General in Goodlettsville, TN (Job ID 2026-356090)

Description

Work Where You Matter: At Dollar General, our mission is Serving Others! We value each and every one of our employees. Whether you are looking to launch a new career in one of our many convenient Store locations, Distribution Centers, Store Support Center or with our Private Fleet Team, we are proud to provide a wide range of career opportunities. We are not just a retail company; we are a company that values the unique strengths and perspectives that each individual brings. Your difference truly makes a difference at Dollar General. How would you like to Serve? Join the Dollar General Journey and see how your career can thrive. Company Overview:

General Summary:

As a Sr. Data Scientist-Model development with Dollar General, you'll develop models and algorithms for our retail business. You'll work closely with Marketing and Merchandising teams to continuously learn more about our business and develop an understanding of the various business processes. You will oversee the creation and development of key models which allow us to evaluate and guide Dollar General's customer and marketing analytics program.

Duties & Responsibilities:

• Perform analytical tasks that include data gathering, analysis, visualization, and data- driven storytelling as a basis of project justification and innovation. 
• Perform statistical/machine learning projects as necessary for given business needs. These projects may consist of – large scale/rapid hypothesis testing, classification, prediction, and recommender systems. 
• Develop dynamic, productionized, and scalable customer-level models that generate ROI for both DG and their customers. These models may include predictive propensity models and customer segmentations.
• Serve as a leader on the team, sharing knowledge, offering analytical expertise, and mentoring junior team members as appropriate.

Knowledge, Skills and Abilities (KSAs):

• Strong problem-solving skills utilizing expertise, business judgment and robust quantitative analyses.
• Develop code to combine, clean and prepare data for modeling using some combination of SQL, Python and PySpark (including but not limited to pandas, numpy, scikit-Learn, matplotlib, tensor- flow).
• Identify and implement proper data preparation and feature engineering methods, such as outlier identification and removal, principal components analysis (PCA), and general data structuring.
• Experience with common modeling techniques, such as logistic regression, decision trees, random forest, SVM, regularized regression, neural networks, and natural language processing (NLP).
• Demonstrated ability to translate complicated analytics topics into easily communicable concepts to less technical audience, including model accuracy and feature importance.
• Practical experience ingesting and manipulating large volumes of data (millions of records).
• Proficiency with common analytical platforms, including distributed compute (e.g. Databricks, Hadoop, Snowflake, etc.) and Tableau/PowerBI.
• Experience with code management tools such as Github (familiarity with CI/CD practices preferred).
• Experience with retail industry or marketing and media networks is preferred.
• Experience with customer-level modeling preferred.

Work Experience &/or Education:

• MS in Data Science, Statistics, Economics, Computer Science, Mathematics, or related applied quantitative field preferred. Bachelor's in a highly quantitative/STEM field considered with the right experience.
• 5+ year's hands-on industry (non-academic) experience in Data Science (or equivalent quantitative job title). Strong background in applying statistical machine learning techniques to predictive modeling and experience with Machine Learning libraries.
• 2+ years of leading /developing statistical models.