Senior Data Scientist, Brand Analytics

Responsibilities

The Senior Data Scientist will lead brand analytics by defining measurement strategies and partnering with marketing leadership to guide investment decisions. They will utilize quantitative modeling and statistical techniques to evaluate brand health and its impact on business growth.

Requirements

Candidates must have 5+ years of experience in brand and marketing analytics with a strong background in modeling and measurement systems. A degree in a quantitative field such as Math, Statistics, or Computer Science is required, along with expertise in SQL, Python, or R.

Skills

• Brand analytics
• Marketing analytics
• SQL
• R
• Python
• Statistical analysis
• Hypothesis testing
• Causal inference
• A/B testing
• MMM
• Attribution
• Incrementality testing
• Brand lift surveys
• Data visualization
• Brand strategy
• ETL

Benefits

• 401(k) plan with employer matching
• Paid parental leave
• Wellness benefits
• Commuter benefits match
• Paid time off
• Paid sick leave
• Medical benefits
• Dental benefits
• Vision benefits
• Paid holidays
• Disability insurance
• Life insurance
• Family-forming assistance
• Mental health program
• Equity grants

About this role

About the Team
The Paid Marketing Analytics team is looking for an experienced Senior Data Scientist to lead brand analytics at DoorDash. This Data Scientist will partner closely with senior Marketing leaders to define our brand measurement approach and guide our brand investment strategy and decision-making. 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.
About the Role
As a Senior Data Scientist leading brand analytics, you’ll use your quantitative background in brand analytics to define how we measure the impact of brand investment and how brand health affects our business. You’ll report to the leader of Marketing Analytics, and partner closely with our Brand Marketing team. If you enjoy finding patterns amidst chaos, and have experience using brand analytics to affect revenue, growth, and investment, we're looking for someone like you!
You’re excited about this opportunity because you will…
Influence brand strategy, define brand measurement for DoorDash, and play a crucial role in sharing the DoorDash brand externally with our customers.
Partner closely with Marketing leadership to define metrics, KPIs, and a measurement strategy for the DoorDash brand
Work at the intersection of modeling, brand strategy, and business decision making
Use quantitative analysis and the presentation of data to see beyond the numbers and understand what drives our business
Use brand lift survey data, internal metrics, and incrementality testing to create a holistic view of brand impact
Build full-cycle analytics experiments, reports, and dashboards using cutting-edge AI tooling, SQL, R, Python, or other scripting and statistical tools
Be a champion of Brand Analytics within the team and advocate and educate on broader incorporation of leading concepts into Marketing and Consumer plans
Produce recommendations and use statistical techniques and hypothesis testing or causal inference 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
We’re excited about you because you have…
A degree in Math, Physics, Statistics, Economics, Computer Science, or a similar domain
5+ years of experience in brand and marketing analytics owning brand measurement at the intersection of modeling, brand strategy, and business decision making
Demonstrated experience leading the design, implementation, and ongoing operation of an end-to-end brand measurement system, including KPI selection and validation, ongoing brand tracking, campaign lift measurement, and integration with MMM and incrementality testing.
Experience leading brand modeling, working directly with clients, and translating the findings into decisions that drive business growth.
Deep understanding of brand marketing and paid media, with a track record of translating measurement findings into decisions about audiences, investment, and channel mix, and evaluating the relationship between brand health and downstream business outcomes.
Understanding of brand health metrics, consumer attitudes, audience strategy, creative effectiveness, and how media channels contribute across the funnel
Experience with marketing and brand measurement, MMM, attribution, incrementality testing, and brand lift surveys
Expertise of SQL queries, ETL, A/B Testing, Causal Inference, survey analytics, and statistical analysis (e.g. hypothesis testing, experimentation, regressions) with statistical packages, such as Matlab, R, SAS or Python
Experience leveraging AI coding tools to improve productivity and harden repeatable processes without sacrificing accuracy or code quality (e.g., Claude Code, Cursor)
The insight to take ambiguous problems and solve them in a structured, hypothesis-driven, data-supported way
Notice Regarding Use of AI and Automated Tools: To streamline our hiring process, DoorDash utilizes an automated recruitment tool called Gem.
How it works: Gem assists our recruiting team by evaluating job related qualifications and characteristics in connection with hiring. The tool is designed and used to support - rather than replace - human decision-making; trained personnel make final decisions with meaningful human review and oversight, and 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 our 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 our Careers Page.
Notice to Applicants for Jobs Located in NYC or Remote Jobs Associated With Office in NYC Only
We use Covey as part of our 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, we provide Covey with job requirements and candidate submitted applications. We began using Covey Scout for Inbound from August 21, 2023, through December 21, 2023, and resumed using Covey Scout for Inbound again on June 29, 2024.
The Covey tool has been reviewed by an independent auditor. Results of the audit may be viewed here: Covey
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 e...

About DoorDash USA

Software Development · 10,001+ employees · headquartered in San Francisco, California