Data Scientist

Dollar General • Goodlettsville, TN

7d

About The Position

The Data Scientist develops dynamic, productionized, and scalable models that generate ROI for DG and its customers. Models may include predictive and time-series forecasts, store segmentations, and geospatial components. The role creates automated, reusable analytics workflows from end to end, from developing and maintaining SQL/Python code through delivering final reports or dashboards.

The position also conducts open-ended ad hoc analysis by clarifying business questions, selecting appropriate analytical techniques, and delivering insights and recommendations. The Data Scientist presents findings and actionable insights to stakeholders using PowerPoint or Power BI, communicating the story in data to non-technical audiences.

Requirements

• Strong problem-solving skills using expertise, business judgment, and robust quantitative analyses.
• Experience developing predictive models from scratch and moving them into production, including model comparison and selection, parameterization, error handling, and work across development, test, and production environments.
• Ability to identify and implement appropriate data preparation and feature engineering methods, such as outlier identification and removal, principal component analysis (PCA), and data structuring.
• Experience writing code to combine, clean, and prepare modeling data using some combination of SQL, Python, and PySpark, including libraries such as pandas, NumPy, scikit-learn, matplotlib, and TensorFlow.
• Proficiency with common analytical platforms, including distributed computing platforms such as Databricks.
• Practical experience ingesting and manipulating large volumes of data, including millions of records.
• Ability to explain complex analytics topics and insights to non-technical audiences, including model accuracy and feature importance.
• Strong background applying statistical machine-learning techniques to predictive modeling and experience with machine-learning libraries.
• Two to five years of hands-on, non-academic industry experience in Data Science or an equivalent quantitative job title.
• A master's degree in Data Science, Statistics, Economics, Computer Science, Mathematics, or a related applied quantitative field is preferred; a bachelor's degree in a highly quantitative or STEM field may be considered with the right experience.

Nice To Haves

• Experience with geospatial analytics.
• Experience with code management tools such as GitLab.
• Experience in the retail industry.
• Basic to intermediate skills with BI tools such as Tableau and Power BI.
• A master's degree in Data Science, Statistics, Economics, Computer Science, Mathematics, or a related applied quantitative field.

Responsibilities

• Develop dynamic, productionized, and scalable models that generate ROI for DG and its customers, including predictive and time-series forecasts, store segmentations, and models with geospatial components.
• Create automated, reusable analytics workflows from end to end, including developing and maintaining SQL/Python code and delivering reports or dashboards.
• Conduct ad hoc analysis by understanding business problems and questions, selecting appropriate analytics techniques, and delivering insights and recommendations.
• Present analytical findings and actionable insights to stakeholders in PowerPoint or Power BI, explaining data to non-technical audiences.

What This Job Offers

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