Senior Data Scientist bei Advance Auto Parts

Job Description

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.

• Familiarity of GenAI and agentic solutions, Retrieval-Augmented Generation (RAG) and model distillation is a plus.

Collaboration & Communication

• Work closely with stakeholders to understand business challenges and translate vague business requirements into data science solutions and work in the 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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