Data Science Innovator
13 hours ago
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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