You Will:
- Collaborate with our business, product, and engineering partners across the organization to vision and deliver data science solutions for practical business problems
- Deeply understand our users, our products, and our data to identify opportunities for creating machine learning, optimization and causal inference solutions to deliver a better customer experience and make our business more efficient
- Build data driven, robust and replicable data science models
- Use experimentation and causal inference to measure the impact of our models on user engagement and business metrics
- Serve as a tech lead on the Delivery Technology DS team
- Provide mentorship to junior data scientists on the team
You Have:
- 5+ years of industrial experiences in data science
- MS or PhD in Operations Research, Mathematics, Statistics, Economics, Computer Science, Engineering or other quantitative field
- Strong ability in translating ambiguous business problems into well-defined technical objectives and providing concrete data science solutions.
- Expert in machine learning, statistics, and experimentation.
- Proficient in Python, SQL, and source control management tools.
- Excellent communication and presentation skills (to both technical and business audiences).
- Effective, resilient, resourceful, and kind.
- Experience in delivery tech
- Experience in dispatch optimization
Compensation
- Gopuff pays employees based on market pricing and pay may vary depending on your location. The salary range below reflects what we’d reasonably expect to pay candidates. A candidate’s starting pay will be determined based on job-related skills, experience, qualifications, work location, and market conditions. These ranges may be modified in the future. For additional information on this role’s compensation package, please reach out to the designated recruiter for this role.
- Remote US Range: $175,000 - $250,000
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