Leveraging data to address complex business challenges within Tractor Supply Company's merchandising strategies, specifically in Space Planning and Pricing, by developing advanced statistical methods using Machine Learning, AI, statistical modeling, and optimization techniques.
Requirements
- Intermediate-advanced in one or more programming language (Python, PySpark, R).
- Deep expertise in writing and debugging complex SQL queries.
- Ability to frame business questions and create an analytics solution using statistical or other advanced analytics methodologies.
- Proven advanced modeling experience in leading data-driven projects from definition to execution, driving and influencing project roadmaps.
- Experience using Azure, AWS, or another cloud compute platform a plus.
- Familiarity with visualization tools such as Power BI and Tableau.
- Knowledge of A/ B testing methods; capable of designing a controlled test design, running the test and providing measurement post-hoc.
Responsibilities
- Develop advanced statistical methods using Machine Learning, AI, statistical modeling, and optimization techniques to support the merchandising strategies and broader organizational goals of TSC.
- Design and implement predictive models.
- Extracting available and relevant data from internal and external data sources to perform data science solution development.
- Develop, maintain, and improve predictive models using R, Python, and Databricks to enhance business knowledge and processes.
- Contribute and assist the team with best practices in data governance, data engineering, and data architecture.
- Identify opportunities for automation and continuous improvement within data pipelines, processes, and systems.
- Design and execute A/B tests to evaluate the effectiveness of various data-driven solutions, including designing appropriate sample sizes, metrics for evaluation, and statistical analysis plans.
Other
- Strong communication skills are essential as this role will translate complex analytical results into clear, actionable insights for both technical and non-technical stakeholders.
- Foster a culture of data-driven decision making and collaborate with cross-functional teams and senior leadership to define the long-term vision and goals for data science and engineering within the organization.
- Must possess high degree of aptitude in communicating both verbally and written complex analysis results to Senior & Executive Leadership.
- Speak, read and write effectively in the English language.
- Hybrid / Flexible working conditions
