Data Scientist / Senior Data Scientist

1. Job Overview

About the Team

The Analytics team is looking for experienced Data Scientists and Senior Data Scientists to guide measurement, strategy, and tactical decision-making across the company across a variety of teams and levels. Data Scientists at DoorDash work to uncover insights and turn them into relevant recommendations, driving decisions for the entire organization. Analytics is integral to all operational areas at DoorDash.

Please apply here for all non-managerial levels within the following analytics teams: Consumer & Growth; Business Operations; Dasher & Logistics; Customer Experience & Integrity; Merchant, Ads & Sales; New Verticals; International Data Science.

About the Role / Role Purpose

As a Data Scientist at DoorDash, you'll use your quantitative background to mentor other scientists and dive into large datasets to guide decision-making. You will solve challenges including customer acquisition, fraud and support, marketing, balancing supply and demand, new city launches, marketplace efficiency, and more. The role focuses on using analytics to affect revenue, growth, operations, or similar outcomes.

Why Join Us / About DoorDash

At 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 users—from Dashers to merchant partners to consumers. We are a technology and logistics company that started by enabling door-to-door delivery, and we are looking for team members who can help us go from a company that is known as the place you order food to a company that people turn to for any and all goods.

DoorDash 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 employees’ happiness, healthiness, and overall well-being by providing comprehensive benefits and perks including premium healthcare, wellness expense reimbursement, paid parental leave and more.

DoorDash cares about you and your overall well-being. That’s why we offer a comprehensive benefits package to all regular employees, which includes a 401(k) plan with employer matching, 16 weeks of paid parental leave, wellness benefits, commuter benefits match, paid time off and paid sick leave in compliance with applicable laws (e.g. Colorado Healthy Families and Workplaces Act). DoorDash also offers medical, dental, and vision benefits, 11 paid holidays, disability and basic life insurance, family-forming assistance, and a mental health program, among others.

Paid time off details:

• For salaried roles: flexible paid time off/vacation, plus 80 hours of paid sick time per year.
• For hourly roles: vacation accrued at about 1 hour for every 25.97 hours worked (e.g. about 6.7 hours/month if working 40 hours/week; about 3.4 hours/month if working 20 hours/week), and paid sick time accrued at 1 hour for every 30 hours worked (e.g. about 5.8 hours/month if working 40 hours/week; about 2.9 hours/month if working 20 hours/week).

Compensation:

The successful candidate's starting pay will fall within the pay range listed below and is determined based on job-related factors including, but not limited to, skills, experience, qualifications, work location, and market conditions. Base salary is localized according to an employee’s work location. Ranges are market-dependent and may be modified in the future.

In addition to base salary, the compensation for this role includes opportunities for equity grants. Talk to your recruiter for more information.

Notice Regarding Use of AI and Automated Tools

To streamline our hiring process, DoorDash utilizes an automated recruitment tool called Gem. Gem assists the recruiting team by evaluating job related qualifications and characteristics in connection with hiring and is designed and used to support rather than replace human decision-making. DoorDash does not use Gem or other AI-enabled tool in a manner that has the effect of subjecting applicants or employees to discrimination based on any protected characteristic or proxy or for engaging in any protected activity under applicable law.

Data Retention, Privacy & Bias Audit: Data collected during this process is retained in accordance with DoorDash's Candidate Privacy Policy and applicable state laws. In compliance with New York City Local Law 144, the independent bias audit summary for Gem is publicly available for review at DoorDash's Careers Page.

Notice to Applicants for Jobs Located in NYC or Remote Jobs Associated With Office in NYC Only

DoorDash uses (or has used) Covey as part of the hiring and/or promotional process for jobs in NYC and certain features may qualify it as an AEDT in NYC. As part of the hiring and/or promotion process, DoorDash provides Covey with job requirements and candidate submitted applications. The Covey tool has been reviewed by an independent auditor.

Statement of Non-Discrimination and Inclusion

DoorDash is committed to growing and empowering a more inclusive community. No employee or applicant will face discrimination or harassment based on protected characteristics. DoorDash encourages applicants from diverse backgrounds and provides accommodations if requested.

Additional notes: Beware of recruitment scams: DoorDash, Deliveroo, and Wolt will never ask you to pay money or share sensitive financial information during hiring.

---

2. Key Responsibilities

• Use quantitative analysis and the presentation of data to see beyond the numbers and understand what drives our business
• Build full-cycle analytics experiments, reports, and dashboards using SQL, R, Python, or other scripting and statistical tools
• Work with and mentor junior analysts on how to use more advanced methods and solve challenges
• Produce recommendations and use statistical techniques and hypothesis testing to validate your findings
• Provide insights to help business and product leaders understand marketplace dynamics, user behaviors, and long-term trends
• Identify and measure levers to help move essential metrics and make recommendations
• Work backwards from understanding and sizing problems to ideating solutions
• Report against our goals by identifying essential metrics and building executive-facing dashboards to track progress
• Collaborate with engineering to implement, document, validate, and monitor our logging

3. Required Qualifications

• A degree in Math, Physics, Statistics, Economics, Computer Science, or a similar domain
• 2+ years of experience in data analytics, consulting, or related role

4. Required Skills

• Experience working with funnel optimization, user segmentation, cohort analyses, time series analyses, regression models, etc.
• Expertise of SQL queries, ETL, A/B Testing, and statistical analysis (e.g. hypothesis testing, experimentation, regressions) with statistical packages, such as Matlab, R, SAS or Python
• Proficiency in one or more analytics & visualization tools (e.g. Chartio, Looker, Tableau)
• The insight to take ambiguous problems and solve them in a structured, hypothesis-driven, data-supported way

5. Preferred Qualifications

• None explicitly listed in the source description.

6. Experience Requirements

• 2+ years of experience in data analytics, consulting, or related role

7. Additional Job Information

• Employment type: Full-time
• Work mode: On-site
• Notice period: Not specified in the source
• Employer-provided locations: New York, NY; New York County, NY; New York State, United States
• Application instructions: Apply via the provided job apply URL: https://jooble.org/external/-1295290014694867361/2321?cpc=d0FU&utm_source=affiliate&utm_medium=talemexa_organic_us&extra_id_consumer_run=cdbf17e5-7138-4e53-8564-31e5a473cd00&extra_id_category=1065
• Additional hiring process notes: DoorDash uses automated tools (Gem, and for NYC roles or jobs associated with NYC office, Covey) in parts of the hiring process. If you need accommodations, inform your recruiting contact upon initial connection.