O'Reilly Auto Parts · 3 months ago
Principal Data Scientist- Remote US
United States
Full-time
Remote
Lead/StaffO'Reilly Auto Parts is a company known for its growth and stability, and they are seeking a Principal Data Scientist to provide technical leadership and advise stakeholders on complex data science projects. This role involves defining strategies for AI/ML initiatives, driving innovation, and mentoring other data scientists to enhance the organization's data capabilities.
AutomotiveManufacturingRetailWholesale
Responsibilities
Define strategy for the end-to-end lifecycle of critical, enterprise-level AI/ML projects, setting architectural standards and future-proofing deployment methodologies
Drive innovation in designing and implementing advanced, responsible AI validation frameworks with a focus on fairness, transparency, accountability, and explainability, influencing best practices from industry
Influence cross-functionally with MLOps, Data Engineering, Application Engineering and Platform teams to establish enterprise-wide standards for scalable, low-latency deployment, advanced CI/CD, and robust lifecycle management across all AI initiatives
Define Strategy for the organization's approach to scalable, sophisticated data science and machine learning solutions, identifying strategic opportunities leveraging GCP, Vertex AI, BigQuery ML, emerging technologies or other cloud platforms
Drive innovation in the development of next-generation predictive models and analytical frameworks that provide significant competitive advantage
Define strategy for the approach to deep exploratory data analysis (EDA), leveraging cutting-edge tools and methodologies to uncover transformative patterns, correlations, and anomalies in massive, diverse datasets
Influence cross-functionally to shape enterprise-wide data collection, curation, and governance strategies based on insights from complex data landscapes
Define Strategy for the alignment of all modeling efforts with the enterprise-wide data strategy, long-term business objectives, and emerging technological trends
Drive Innovation in architectural design, MLOps pipelines, and data governance, establishing the foundational principles for the organization's analytics and modeling capabilities
Influence cross-functionally with executive leadership and key business stakeholders to identify and define the most impactful, often ambiguous and unstructured, enterprise-level business problems solvable through advanced data science
Define strategy for data-driven recommendations that influence business decisions, long-term investments, and generate ROI. Act as a primary thought-leader and strategic advisor for algorithm-based recommendations across all aspects of the retail business
Define Strategy for continuous learning and development across the data science organization, fostering a culture of intellectual curiosity and innovation. Stay at the forefront of AI/ML research and industry trends
Mentor senior and junior scientists, establish mentorship programs, and significantly contribute to building the technical leadership and innovation culture of the entire data science community. Peer review and publish work in top tier ML/AI conferences such as NIPS, ICML, AAAI and COLT
Define strategy for comprehensive QA and responsible AI testing methodologies across the enterprise, including designing frameworks for ethical AI audits, advanced model validation, and proactive drift detection
Drive innovation in the adoption of advanced tools like Vertex Model Monitoring and custom CI/CD pipelines for highly automated and robust testing at scale
Define strategy for knowledge management, documentation standards, and reproducibility across the entire data science function, ensuring long-term institutional knowledge and efficient collaboration
Influence cross-functionally to implement tools and processes that facilitate seamless knowledge transfer and version control
Define strategy for communicating complex model outputs into transformative, actionable business insights for the business stakeholders, directly influencing strategic decision-making and organizational direction
Drive innovation in storytelling with data, leveraging advanced visualization techniques and fostering a data-driven culture across the organization
Define strategy for the organization's approach to solving the most challenging, ambiguous, and high-impact business problems using novel algorithms and state-of-the-art AI frameworks (e.g., TensorFlow, PyTorch, HuggingFace)
Drive innovation and lead research and development efforts in solving business opportunities across enterprise such as supply chain optimization, personalized consumer experiences, and enhanced operational efficiency
Qualification
Required
Experience in software development and data science, with a focus on AI/ML applications and mathematical modeling
Visionary expertise in advanced data science, machine learning, and AI concepts, pushing the boundaries of current capabilities
Deep knowledge of diverse ML architectures, including cutting-edge research trends
Proven track record of designing and implementing innovative, enterprise-scale data science solutions on cloud platforms like GCP and Azure, leveraging its full suite of advanced ML capabilities (e.g., custom Vertex AI operations, distributed training)
Exceptional proficiency in Python for highly complex, performant, and scalable AI development
Architectural expertise in cloud-native ML platforms (e.g., GCP, Vertex AI) and integration with large-scale data ecosystems
Deep understanding of MLOps, AIOps, and production ML system design at an enterprise level
Ability to innovate and define industry-leading best practices for responsible AI, model governance, and ethical deployment
Expertise in designing complex experimental frameworks for large-scale impact measurement
Exceptional ability to influence executive-level strategy and investment decisions through compelling data-driven insights
Deep understanding of the retail tech industry and its challenges, capable of identifying transformative opportunities for AI
Recognized thought leader in the data science community, internally and externally
Ability to mentor and technically advise Senior and other Principal-level data scientists
Proven experience in building and fostering a culture of innovation and scientific rigor
Preferred
Expertise in Python, R, SQL, Scala, and relevant machine learning and deep learning libraries/packages such as NumPy, Pandas, SciKit-Learn, TensorFlow, Keras, and PyTorch
Significant publications (NIPS, ICML, AAAI, COLT) or patents in AI/ML
Experience contributing to or leading open-source ML/AI projects
Advanced degrees (Ph.D.) in relevant quantitative fields
Experience in strategic consulting or advisory roles
Past experience in solving complex business problems using vision models, natural language processing (NLP), slow mover forecasting models, and recommender systems
Plans, organizes, prioritizes and oversees activities to efficiently meet objectives
Plans, identifies, monitors, analyzes, and prioritizes risks (threats and opportunities), creates response plans, and manages the risk if it occurs
Benefits
Competitive Wages & Paid Time Off
Stock Purchase Plan & 401k with Employer Contributions Starting Day One
Medical, Dental, & Vision Insurance with Optional Flexible Spending Account (FSA)
Team Member Health/Wellbeing Programs
Tuition Educational Assistance Programs
Opportunities for Career Growth
Company
O'Reilly Auto Parts
O’Reilly Auto parts is a specialty retailer of automotive aftermarket parts, tools, supplies, equipment and accessories.
Founded in 1957
10001+ employees
H1B Sponsorship
O'Reilly Auto Parts has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2024 (1)
2021 (2)
Funding
Current Stage
Public CompanyTotal Funding
$500M2024-08-19Post Ipo Debt· $500M
1993-04-23IPO
Leadership Team
Brent Kirby
President
Greg Johnson
Retired
Recent News
bloomberglaw.com
2026-01-24
2026-01-20
2025-12-29
Company data provided by crunchbase