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Sr Data Scientist, Promo Model Development

Location
Goodlettsville, Tennessee
Job Type
Permanent
Posted
7 Sep 2022
Dollar General Corporation has been delivering value to shoppers for more than 80 years. Dollar General helps shoppers Save time. Save money. Every day. by offering products that are frequently used and replenished, such as food, snacks, health and beauty aids, cleaning supplies, basic apparel, housewares and seasonal items at everyday low prices in convenient neighborhood locations. Dollar General operates more than 18,000 stores in 47 states, and were still growing. Learn more about Dollar General at .

General Summary:

As a Senior Data Scientist -Promotions Optimization 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 partner with ML Engineers within our IT team and Data Scientists on our Decision Science teams to build solutions for business needs including development, deployment, and maintenance of algorithms and models at scale!

You will oversee the creation and development of key models which allow us to evaluate and guide promotional planning for product promotion.

Duties & Responsibilities:
  • Become a domain expert in promotional data at Dollar General. Execute solutions to business problems using data analysis, data mining, forecasting, optimization tools, machine learning techniques, and statistics
  • Write code for math/stats models to evaluate demand for all promoted items. Partner with business users and other scientists / engineers to build a framework allowing us to develop a new platform to estimate promotional sales
  • Synthesize analysis and results in compelling storylines and communicate to key stakeholders. You should have the ability to tell a story around the problem, the solution and the impact and value of implementing a solution
  • Coordinate the analysis, troubleshooting, and resolution of issues in our software and the broader infrastructure. Serve as an advocate of our data-driven culture with Product, Business, and Engineering to help them utilize insights that'll direct their efforts towards initiatives with highest impacts
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
Work Experience &/or Education:
  • MS in Data Science, Statistics, Economics, Computer Science, Mathematics, or related applied quantitative field preferred. Bachelors 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
Requisition ID: 236

Street: 100 MISSION RDG

External Company URL:

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Details

  • Job Reference: 706383429-2
  • Date Posted: 7 September 2022
  • Recruiter: Dollar General
  • Location: Goodlettsville, Tennessee
  • Salary: On Application
  • Sector: Sales & Marketing
  • Job Type: Permanent