Data Science Innovator

13 hours ago


Seattle, Washington, United States DoorDash Full time

About the Role

We are seeking a skilled Data Science Innovator to lead our AI engineering team. With DoorDash's robust data and machine learning infrastructure, you will design, develop, and implement cutting-edge recommendation systems and AI solutions to drive restaurant growth.

You'll be responsible for

  • Developing production-level machine learning models to power multiple teams, including Sales Operation, Product, and Marketing.
  • Partnering with engineering and product leaders to shape the product roadmap leveraging AI/ML.
  • Owning the modeling lifecycle, from feature creation to deployment, experimentation, monitoring, explainability, and maintenance.
  • Finding innovative ways to utilize diverse data sources and modeling techniques, such as NLP, ranking, personalization, image classification, and entity resolution, to enhance the merchant experience.

Requirements

  • 1+ years of industry experience post PhD or 3+ years of industry experience post graduate degree in developing machine learning models with business impact.
  • Expertise in applied ML for Causal Inference and Recommendation Systems, classical and deep learning based.
  • M.S., or PhD. in Statistics, Computer Science, Economics, Math, Operations Research, Physics, or other quantitative fields.
  • Ability to communicate technical details to non-technical stakeholders.
  • Strong machine learning background in Python; experience with Spark, PyTorch or TensorFlow preferred.
  • Familiarity with Kotlin/Scala.
  • A growth-minded and collaborative mindset.

What We Offer

  • A competitive salary range: $180,000 - $220,000 per year, depending on location and experience.
  • Opportunities for professional growth and development in a fast-paced environment.
  • A collaborative and dynamic work culture.


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