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Company: Dollar General
Location: Goodlettsville, TN
Career Level: Entry Level
Industries: Retail, Wholesale, Apparel

Description

Job Details Duties & Responsibilities:

  • Develop dynamic, productionized, and scalable models that generate ROI for both DG and their customers.
  • These models may include predictive and time-series forecasts, store segmentations, or include geospatial components.
  • Create automated, reusable analytics workflows from end-to-end: from developing and maintaining SQL/Python code to the final report or dashboard deliverable.
  • Conduct open ended ad hoc analysis, including understanding the key business problem/question, translating needs into the appropriate analytics techniques, and delivering insights and recommendations to drive decisions.
  • Present analytical findings and actionable insights in PowerPoint or PowerBI to stakeholders, telling the story with data to non-technical audience.
  • Knowledge, Skills and Abilities (KSAs):
  • Strong problem-solving skills utilizing expertise, business judgment and robust quantitative analyses.
  • Experience developing predictive models from scratch and moving into production environment, including model comparison/selection techniques, parameterization, error handling, and working across dev/test/prod environments.
  • 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 developing 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).
  • Proficiency with common analytical platforms, including distributed compute, such as Databricks.
  • Practical experience ingesting and manipulating large volumes of data (millions of records).
  • Demonstrated ability to translate complicated analytics topics and insights into easily communicable concepts to non-technical audience, including model accuracy and feature importance.
  • Experience with geospatial analytics preferred.
  • Experience with code management tools such as GitLab.
  • Experience with retail industry preferred.
  • Basic to intermediate skills with BI tools such as Tableau and PowerBI preferred.

  • Job Qualifications
    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.
  • 2-5 years 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.

  •  Apply on company website