Apache Airflow, Deep Learning, LightGBM, Machine learning techniques, Optimization, Python Programming, PyTorch, Reinforcement Learning, Spark Core
As a Data Scientist, you will have the opportunity to leverage our robust data and machine learning infrastructure to develop inference and optimization ETA and Routing models that impact millions of users across our three audiences and tackle our most challenging business problems. You will work with other data scientists, engineers, analysts, and product managers to develop and iterate on models to help us grow our business and provide better service quality for our customers.
You’re excited about this opportunity because you will…
We’re excited about you because…
Experience
Compensation
The location-specific base salary range for this position is listed below. Compensation in other geographies may vary.
Actual compensation within the pay range will be decided based on factors including, but not limited to, skills, prior relevant experience, and specific work location. For roles that are available to be filled remotely, base salary is localized according to employee work location. Please discuss your intended work location with your recruiter for more information.
DoorDash cares about you and your overall well-being, and that’s why we offer a comprehensive benefits package, for full-time employees, that includes healthcare benefits, a 401(k) plan including an employer match, short-term and long-term disability coverage, basic life insurance, wellbeing benefits, paid time off, paid parental leave, and several paid holidays, among others.
In addition to base salary, the compensation package for this role also includes opportunities for equity grants.
DoorDash, Inc. is a prominent company that manages an online platform for food ordering and delivery. It trades on the stock market under the symbol DASH. Notably, DoorDash holds the leading position in the United States with a substantial 56% market share in the food delivery sector, and it also boasts a robust 60% market share in the convenience delivery category.
Seattle, WA, USA
2-4 year
New York, NY, USA
2-4 year
Los Angeles, CA, USA
2-4 year
San Francisco, CA, USA
2-4 year
San Francisco, CA, USA
2-4 year
Sunnyvale, CA, USA
2-4 year
San Francisco, CA, USA
20-22 year
Sunnyvale, CA, USA
20-22 year
Los Angeles, CA, USA
20-22 year
Seattle, WA, USA
20-22 year
New York, NY, USA
20-22 year
San Francisco, CA, USA
4-6 year
Sunnyvale, CA, USA
4-6 year
Los Angeles, CA, USA
4-6 year
New York, NY, USA
4-6 year
San Francisco, CA, USA
4-6 year
Los Angeles, CA, USA
4-6 year
San Francisco, CA, USA
4-6 year
New York, NY, USA
4-6 year
San Francisco, CA, USA
4-6 year
Los Angeles, CA, USA
4-6 year
Chicago, IL, USA
4-6 year
Seattle, WA, USA
4-6 year
San Francisco, CA, USA
6-8 year
New York, NY, USA
6-8 year
San Francisco, CA, USA
6-8 year
Los Angeles, CA, USA
6-8 year
Chicago, IL, USA
6-8 year
Seattle, WA, USA
6-8 year
Austin, TX, USA
6-8 year
Washington D.C., DC, USA
6-8 year
Seattle, WA, USA
6-8 year
Sunnyvale, CA, USA
6-8 year
San Francisco, CA, USA
6-8 year
New York, NY, USA
6-8 year
Seattle, WA, USA
4-6 year
Sunnyvale, CA, USA
4-6 year
San Francisco, CA, USA
4-6 year
New York, NY, USA
4-6 year
San Francisco, CA, USA
8-10 year
San Francisco, CA, USA
8-10 year
Los Angeles, CA, USA
8-10 year
Los Angeles, CA, USA
6-8 year
Seattle, WA, USA
6-8 year
Sunnyvale, CA, USA
6-8 year
San Francisco, CA, USA
6-8 year
New York, NY, USA
6-8 year
Los Angeles, CA, USA
6-8 year
San Francisco, CA, USA
6-8 year
Sunnyvale, CA, USA
6-8 year
Seattle, WA, USA
6-8 year