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CarParts.com Logo

Data Scientist

CarParts.com

$100,000 - $120,000
Aug 29, 2025
Torrance, CA, US
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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.

Requirements

  • 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.
  • Experience with MLOps , model monitoring, and lifecycle management.
  • Experience with cloud computing and big data tools ( BigQuery , Databricks, Kubernetes, Airflow, etc.).

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.
  • 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.

Other

  • Bachelor’s degree with quantitative field and 2-3 years of data related professional experience
  • 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.
  • Prior experience in e-commerce or digital marketplaces.