Advance Auto Parts
Job Summary
We are seeking a motivated Data Scientist with strong technical skills in machine learning and a passion for continuous learning. The ideal candidate will have foundational experience in building predictive and prescriptive models using Python, PySpark, and modern ML frameworks (TensorFlow, PyTorch, XGBoost, LightGBM). This role requires the ability to write production-ready code, develop automated model monitoring workflows, create visualization dashboards, and work collaboratively in Agile environments with cross-functional teams.
Job Description This position is 4 days in office, 1 day remote per week, based at our corporate headquarters in Raleigh, North Carolina (North Hills).
Key Responsibilities Model Development & Technical Expertise
Design and implement predictive and prescriptive models for regression, classification, and optimization problems.
Apply advanced techniques such as structural time series modeling and boosting algorithms (e.g., XGBoost, LightGBM).
Develop and tune machine learning models using Python, PySpark, TensorFlow, and PyTorch.
Write efficient, production-ready code and frameworks optimized for scalability and deployment.
Build automated workflows for model monitoring and performance evaluation.
Create dashboards using tools like Databricks and Palantir to visualize key model metrics like model drift, shapley values, etc.
Rapidly prototype and test hypotheses to validate model approaches.
Collaboration & Communication
Should be a team player and have a strong desire to learn new technologies and methodologies.
Agile Execution
Operate effectively in Agile environments, contributing to iterative development cycles and sprint planning.
Adapt quickly to changing priorities while maintaining high standards of quality and innovation.
Education & Experience
1+ years of experience in Data Science, Machine Learning, AI/GenAI.
Master’s degree in computer science, Statistics, Operations Research, Mathematics or similar.
Familiarity of GenAI and agentic solutions, Retrieval-Augmented Generation (RAG) and model distillation is a plus.
Preferred
Experience in Retail Industry
AI/ML certifications in Vertex AI/Databricks/AWS.
We are an Equal Opportunity Employer and do not discriminate against any employee or applicant for employment because of race, color, sex, age, national origin, religion, sexual orientation, gender identity, status as a veteran and basis of disability or any other federal, state or local protected class.
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Job Description This position is 4 days in office, 1 day remote per week, based at our corporate headquarters in Raleigh, North Carolina (North Hills).
Key Responsibilities Model Development & Technical Expertise
Design and implement predictive and prescriptive models for regression, classification, and optimization problems.
Apply advanced techniques such as structural time series modeling and boosting algorithms (e.g., XGBoost, LightGBM).
Develop and tune machine learning models using Python, PySpark, TensorFlow, and PyTorch.
Write efficient, production-ready code and frameworks optimized for scalability and deployment.
Build automated workflows for model monitoring and performance evaluation.
Create dashboards using tools like Databricks and Palantir to visualize key model metrics like model drift, shapley values, etc.
Rapidly prototype and test hypotheses to validate model approaches.
Collaboration & Communication
Should be a team player and have a strong desire to learn new technologies and methodologies.
Agile Execution
Operate effectively in Agile environments, contributing to iterative development cycles and sprint planning.
Adapt quickly to changing priorities while maintaining high standards of quality and innovation.
Education & Experience
1+ years of experience in Data Science, Machine Learning, AI/GenAI.
Master’s degree in computer science, Statistics, Operations Research, Mathematics or similar.
Familiarity of GenAI and agentic solutions, Retrieval-Augmented Generation (RAG) and model distillation is a plus.
Preferred
Experience in Retail Industry
AI/ML certifications in Vertex AI/Databricks/AWS.
We are an Equal Opportunity Employer and do not discriminate against any employee or applicant for employment because of race, color, sex, age, national origin, religion, sexual orientation, gender identity, status as a veteran and basis of disability or any other federal, state or local protected class.
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