What are the responsibilities and job description for the Sr Data Scientist position at O'Reilly Auto Parts?
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The Senior Data Scientist is responsible for modeling complex enterprise problems, discovering insights and identifying opportunities through the use of machine learning, statistical, algorithmic, data mining, and visualization techniques. The Senior Data Scientist will work closely with business and the Data Science team members to design, develop, and implement solutions for the entire organization, with a primary focus on inventory optimization and assortment optimization. The ideal candidate will bring expertise in supply chain analytics, experience working with cloud platforms such as Google Cloud Platform (GCP), and proficiency with Vertex AI. The role will involve working closely with cross-functional teams to build and deploy machine learning models that improve inventory management and assortment strategies. A strong background in MLOps pipeline development is highly desired to ensure efficient model deployment and maintenance.
ESSENTIAL JOB FUNCTIONS
- Design solutions to complex business problems and oversee them through implementation.
- Provide mentorship to Data Scientists and Engineers on the team.
- Maintain up-to-date knowledge of a variety of machine learning techniques (clustering, decision tree learning, deep learning, etc.) and their real-world advantages / drawbacks.
- Maintain up-to-date knowledge of advanced statistical techniques and concepts (regression, properties of distributions, time series analysis, statistical tests and proper usage, etc.) and experience with applications.
- Develop, test, and implement predictive models to optimize inventory management and product assortment across multiple store locations.
- Leverage machine learning techniques and statistical analysis to identify patterns, trends, and insights from large datasets.
- Build and deploy machine learning models using GCP and Vertex AI to improve inventory accuracy, reduce stock-outs, and enhance assortment decisions.
- Collaborate with cross-functional teams, including operations, supply chain, and IT, to define data requirements and ensure data availability for analysis and modeling.
- Work on end-to-end MLOps pipelines, including model versioning, deployment, monitoring, and retraining to maintain model accuracy and relevance.
- Use data visualization tools and techniques to communicate insights and model performance to stakeholders effectively.
- Identify and implement opportunities to enhance existing processes using data-driven solutions.
Other Job Functions :
SKILLS / EDUCATION / KNOWLEDGE / EXPERIENCE / ABILITIES
Required :
Desired :
Total Compensation Package :
O’Reilly Auto Parts is an equal opportunity employer. Hiring decisions are administered without regard to race, color, creed, religion, sex, pregnancy, sexual orientation, gender identity, age, national origin, ancestry, citizenship status, disability, veteran status, genetic information, or any other basis protected by applicable federal, state or local law.
Reasonable Accommodations : Qualified individuals with known disabilities may be entitled to reasonable accommodation under the Americans with Disabilities Act and certain state or local laws.
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