Advance Auto Parts
Job Summary
We are seeking a highly skilled and experienced
Senior Data Scientist
with deep expertise in machine learning model development and production deployment, particularly in predictive and prescriptive analytics. The ideal candidate will have a strong technical background in Python, PySpark, TensorFlow/PyTorch, advanced ML algorithms (XGBoost, LightGBM, structural time series), and experience building scalable AI/ML architectures using platforms like Databricks and cloud services. This role also requires strong collaboration and mentoring capabilities to translate ambiguous business challenges into end-to-end data science solutions, work effectively with cross-functional stakeholders, and guide junior team members through Agile development cycles. 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. Create robust and scalable AI/ML frameworks and build robust architectures.
Collaboration & Communication
Familiarity with GenAI and agentic solutions, Retrieval-Augmented Generation (RAG) and model distillation is a plus. Work closely with stakeholders to understand business challenges and translate vague business requirements into data science solutions and end-to-end solutioning. Collaborate with cross-functional teams to ensure successful integration of models into business processes. Ability to mentor and provide guidance to junior team members.
Monitoring & Visualization
Rapidly prototype and test hypotheses to validate model approaches. 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.
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
5+ years of experience in Data Science, Machine Learning, AI/GenAI. Master’s degree in computer science, Statistics, Operations Research or similar. Preferred
Experience in Retail Industry AI/ML certifications in Vertex AI/Databricks/AWS. 1+ years of experience as team lead.
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We are seeking a highly skilled and experienced
Senior Data Scientist
with deep expertise in machine learning model development and production deployment, particularly in predictive and prescriptive analytics. The ideal candidate will have a strong technical background in Python, PySpark, TensorFlow/PyTorch, advanced ML algorithms (XGBoost, LightGBM, structural time series), and experience building scalable AI/ML architectures using platforms like Databricks and cloud services. This role also requires strong collaboration and mentoring capabilities to translate ambiguous business challenges into end-to-end data science solutions, work effectively with cross-functional stakeholders, and guide junior team members through Agile development cycles. 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. Create robust and scalable AI/ML frameworks and build robust architectures.
Collaboration & Communication
Familiarity with GenAI and agentic solutions, Retrieval-Augmented Generation (RAG) and model distillation is a plus. Work closely with stakeholders to understand business challenges and translate vague business requirements into data science solutions and end-to-end solutioning. Collaborate with cross-functional teams to ensure successful integration of models into business processes. Ability to mentor and provide guidance to junior team members.
Monitoring & Visualization
Rapidly prototype and test hypotheses to validate model approaches. 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.
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
5+ years of experience in Data Science, Machine Learning, AI/GenAI. Master’s degree in computer science, Statistics, Operations Research or similar. Preferred
Experience in Retail Industry AI/ML certifications in Vertex AI/Databricks/AWS. 1+ years of experience as team lead.
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