Data Scientist

DoorDash Brazil; São Paulo; Presencial; BRL 120 000 - 210 000; Tempo integral

Resumo da oferta

DoorDash Brazil seeks an experienced Data Scientist to guide measurement, strategy, and tactical decisions across the Analytics team. You will mentor junior analysts and dive into large datasets to uncover insights and drive growth.

Build end-to-end analytics experiments, reports, and dashboards using SQL, Python, or R; provide data-driven recommendations to leadership on marketplace dynamics, user behavior, and long-term trends. This role is based in São Paulo.

Qualificações

• Degree in Math/Physics/Statistics/Economics/CS required.
• 2+ years of data analytics or related experience.
• Experience with funnel optimization, segmentation, cohorts, and time series.

Responsabilidades

• Use quantitative analysis and data presentation to reveal drivers of our business.
• Build full-cycle analytics experiments, reports, and dashboards with SQL, Python, or R.
• Mentor junior analysts on advanced methods and problem solving.
• Provide insights to help leaders understand marketplace dynamics and trends.
• Identify levers to move key metrics and validate with hypothesis testing.
• Work from problem sizing to solution ideation and execution.
• Report against goals with executive dashboards and track progress.
• Collaborate with engineering to implement, document, and monitor logging.

Conhecimentos

Funnel optimization

User segmentation

Cohort analyses

Time series

Regression models

Mentoring

Data storytelling

Ambiguity handling

Formação académica

Degree in Math/Physics/Statistics/Economics/CS

Ferramentas

SQL

ETL

A/B Testing

Python

R

Matlab

SAS

Tableau

Looker

Chartio

Descrição da oferta de emprego

About the Team

The Analytics team is looking for experienced 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.

• Consumer & Growth
• Business Operations
• Dasher & Logistics
• Customer Experience & Integrity
• Merchant, Ads & Sales
• New Verticals
• International Data Science

About the Role

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. We solve a multitude of exciting challenges including customer acquisition, fraud and support, marketing, balancing supply and demand, new city launches, marketplace efficiency, and more. If you enjoy finding patterns amidst chaos, and have experience using analytics to affect revenue, growth, operations or beyond, we're looking for someone like you!

You're excited about this opportunity because you will…

• 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

We're excited about you because you have…

• A degree in Math, Physics, Statistics, Economics, Computer Science, or a similar domain
• 2+ years of experience in data analytics, consulting, or related role
• 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
• Are able to work in our office in São Paulo, Brazil

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

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.

Our Commitment to Diversity and Inclusion

We're committed to growing and empowering a more inclusive community within our company, industry, and cities. That's 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.
This position is open to candidates with disabilities. DoorDash welcomes applicants registered with the national autism registry (SisTEA) and others who seek an inclusive workplace.
If you need any accommodations, please inform your recruiting contact upon initial connection.