What We Do CarParts.com is the go-to eCommerce platform for auto care and maintenance. We offer drivers quality parts at competitive prices and allow customers to schedule an appointment with a trusted mechanic directly from our website. We use world-class design principles and the latest technologies to deliver a fast, easy-to-use, and mobile-intuitive website. And with our company-owned national distribution network, we bring the best brands and manufacturers directly to consumers, cutting out the costs associated with brick-and-mortar retailers. Our more than 1,700 team members worldwide are dedicated to Empowering Drivers Along Their Journey. Our Culture At CarParts.com, we’re DRIVEN by our core values: Safety First, Customer Focused, and a Commitment to Excellence. These values guide us in everything we do and push us further in our growth both as a company and as people. They cultivate an environment where employees are inspired and empowered as we build and thrive together. All the hard work of our entire team has resulted in back-to-back record-breaking quarters since Q1 of 2020, as well as our inclusion in the Los Angeles Business Journal’s top 100 Best Places to Work in Los Angeles list for four years in a row (2020, 2021, 2022, 2023). Join us! Summary of Role/Position Carparts.com is seeking a Data Scientist with expertise in AI engineering and machine learning development to help design, build, and deploy intelligent solutions that drive business growth. The ideal candidate combines strong foundations in statistical analysis, data mining, and experimental design with hands-on experience in developing and productionizing machine learning systems. This role requires someone who thrives at the intersection of data science and engineering, with a proven ability to turn algorithms into scalable, business-ready applications. Responsibilities • Design, develop, and deploy end-to-end ML solutions, from data ingestion to model training, evaluation, and production deployment. • Build and maintain scalable ML pipelines and APIs for real-time and batch inference. • Collaborate with stakeholders to identify opportunities where AI and ML can deliver business impact. • Experiment with advanced ML methods (e.g., NLP, predictive modeling) to improve pricing, personalization, and operational efficiency. • Apply solid coding skills, statistical methods, and deep learning techniques to transform ideas into data-driven products. • Create dashboards and monitoring systems to track model performance and ensure reliability in production. • Communicate complex analyses and AI-driven insights clearly to technical and non-technical audiences. Requirements • Bachelor’s degree with quantitative field and 2-3 years of data related professional experience • Strong background in machine learning, statistics, and algorithm development. • Hands-on experience with Python (pandas, numpy , scikit-learn, PyTorch , TensorFlow) or similar ML frameworks. • Proficiency with SQL and NoSQL databases, as well as distributed computing frameworks (e.g., Spark). • Experience designing, deploying, and maintaining ML models in production environments (cloud platforms such as AWS, GCP, or Azure preferred). • Strong software engineering practices, including version control, testing, and CI/CD for ML systems. • Excellent problem-solving and communication skills with the ability to influence decision-making. • Results-oriented with the ability to thrive in a fast-paced, dynamic environment. Preferred Experience • Master’s or PhD in Computer Science, Statistics, or related quantitative field. • Experience with MLOps , model monitoring, and lifecycle management. • Knowledge of deep learning applications in NLP, computer vision, or recommender systems. • Experience with cloud computing and big data tools ( BigQuery , Databricks, Kubernetes, Airflow, etc.). • Prior experience in e-commerce or digital marketplaces. A reasonable estimate of the salary range for this position based on job experience, education level, global geographic region, etc: $100,000-$120,000 CarParts.com is an equal-opportunity employer. We enthusiastically accept our responsibility to make employment decisions without regard to race, religious creed, color, age, sex, sexual orientation, national origin, religion, marital status, medical condition, physical or mental disability, military service, pregnancy, childbirth and related medical conditions, or any other classification protected by federal, state, and local laws and ordinances. Our management is dedicated to ensuring that we fulfill this policy with respect to hiring, placement, promotion, transfer, demotion, layoff, termination, recruitment advertising, pay, and other forms of compensation, training, and general treatment during employment. The above-noted job description is not intended to describe, in detail, the multitude of tasks that may be assigned but rather to give the incumbent a general sense of the responsibilities and expectations of his/her position. As the nature of business demands change so, too, may the essential functions of this position.