DoorDash is hiring a
Remote Senior Data Scientist Machine Learning Grocery Retail Fulfillment
About the Team\n\nCome help us build the world's most reliable on-demand, logistics engine for last-mile retail delivery! We're looking for a talented senior data scientist/machine learning engineer to help us develop and improve the models that power DoorDash's growing grocery and retail business.\nAbout the Role\n\nAs a senior Data Scientist, you will have the opportunity to leverage our robust data and machine learning infrastructure to develop logistics, inventory, and marketplace systems that ensure the quality, profitability, and scalability of our fast growing retail and grocery delivery business. Working alongside other data scientists, engineers, and product managers, you will use advanced modeling and experimentation methods to ensure that DoorDashโs millions of customers can get what they want, when they want it, at a fair price from thousands of retail, grocery, and convenience stores.\n Youโre excited about this opportunity because you willโฆ\n\n\nDevelop production machine learning and optimization systems to solve fulfillment problems such as: inventory management (both real-time and long-term), demand forecasting, shopping/picking process optimization, and balancing the economics of a three-sided marketplace of consumers, merchants, and dashers.\n\nPartner with engineering, product, and business strategy leaders to help us grow a multi-billion dollar retail delivery business.\n\nFind new ways to leverage diverse data sources, sophisticated models, and flexible experimentation to create a world class shopping and dashing experience.\n\nYou can find out more on our ML blog post here\n\n\n\nWeโre excited about you becauseโฆ\n\n\n3+ years of industry experience developing advanced machine learning models with business impact.\n\nExperience with machine learning and optimization methods in areas such as logistics, fulfillment, inventory management, and two-sided (or three-sided!) marketplaces.\n\nMachine learning background in Python; experience with PyTorch or TensorFlow and familiarity with any of NLP, computer vision, and reinforcement learning are a plus.\n\nExperience shipping production ML models and designing sophisticated experimentation techniques.\n\nM.S., or PhD. in Statistics, Computer Science, Math, Operations Research, Physics, Economics, or other quantitative field\n\nHigh-energy and confident โ you keep the mission in mind, take ideas and help them grow using data and rigorous testing, show evidence of progress and then double down\n\nYouโre an owner โ driven, focused, and quick to take ownership of your work\n\nHumble โ youโre willing to jump in and youโre open to feedback\n\nAdaptable, resilient, and able to thrive in ambiguity โ things change quickly in our fast-paced startup and youโll need to be able to keep up!\n\nGrowth-minded โ youโre eager to expand your skill set and excited to carve out your career path in a hyper-growth setting\n\nDesire for impact โ ready to take on a lot of responsibility and work collaboratively with your team\n\n\n\nAbout DoorDash\n\nAt DoorDash, our mission to empower local economies shapes how our team members move quickly, learn, and reiterate in order to make impactful decisions that display empathy for our range of usersโfrom Dashers to merchant partners to consumers. We are a technology and logistics company that started with door-to-door delivery, and we are looking for team members who can help us go from a company that is known for delivering food to a company that people turn to for any and all goods. \n\nDoorDash is growing rapidly and changing constantly, which gives our team members the opportunity to share their unique perspectives, solve new challenges, and own their careers. We're committed to supporting employeesโ happiness, healthiness, and overall well-being by providing comprehensive benefits and perks including premium healthcare, wellness expense reimbursement, paid parental leave and more.\nOur Commitment to Diversity and Inclusion\n\nWeโre committed to growing and empowering a more inclusive community within our company, industry, and cities. Thatโs why we hire and cultivate diverse teams of people from all backgrounds, experiences, and perspectives. We believe that true innovation happens when everyone has room at the table and the tools, resources, and opportunity to excel.\n\nStatement of Non-Discrimination: In keeping with our beliefs and goals, no employee or applicant will face discrimination or harassment based on: race, color, ancestry, national origin, religion, age, gender, marital/domestic partner status, sexual orientation, gender identity or expression, disability status, or veteran status. Above and beyond discrimination and harassment based on โprotected categories,โ we also strive to prevent other subtler forms of inappropriate behavior (i.e., stereotyping) from ever gaining a foothold in our office. Whether blatant or hidden, barriers to success have no place at DoorDash. We value a diverse workforce โ people who identify as women, non-binary or gender non-conforming, LGBTQIA+, American Indian or Native Alaskan, Black or African American, Hispanic or Latinx, Native Hawaiian or Other Pacific Islander, differently-abled, caretakers and parents, and veterans are strongly encouraged to apply. Thank you to the Level Playing Field Institute for this statement of non-discrimination.\n\nPursuant to the San Francisco Fair Chance Ordinance, Los Angeles Fair Chance Initiative for Hiring Ordinance, and any other state or local hiring regulations, we will consider for employment any qualified applicant, including those with arrest and conviction records, in a manner consistent with the applicable regulation.\n\nPursuant to the Colorado Fair Pay Act, the base salary range in Colorado for this position is $141,525.00 -$191,475.00 , plus opportunities for equity and commission. Compensation in other geographies may vary.\n\nIf you need any accommodations, please inform your recruiting contact upon initial connection. \n\n#Salary and compensation\n
No salary data published by company so we estimated salary based on similar jobs related to Jira, Python, Senior, Engineer, SEO, Mobile, Legal, SaaS, DevOps, Education, Cloud, Software, React, JavaScript and Travel jobs that are similar:\n\n
$70,000 — $120,000/year\n
\n\n#Benefits\n
๐ฐ 401(k)\n\n๐ Distributed team\n\nโฐ Async\n\n๐ค Vision insurance\n\n๐ฆท Dental insurance\n\n๐ Medical insurance\n\n๐ Unlimited vacation\n\n๐ Paid time off\n\n๐ 4 day workweek\n\n๐ฐ 401k matching\n\n๐ Company retreats\n\n๐ฌ Coworking budget\n\n๐ Learning budget\n\n๐ช Free gym membership\n\n๐ง Mental wellness budget\n\n๐ฅ Home office budget\n\n๐ฅง Pay in crypto\n\n๐ฅธ Pseudonymous\n\n๐ฐ Profit sharing\n\n๐ฐ Equity compensation\n\nโฌ๏ธ No whiteboard interview\n\n๐ No monitoring system\n\n๐ซ No politics at work\n\n๐
We hire old (and young)\n\n
\n\n#Location\nSan Francisco, California, United States