Data Scientist

DoorDash; São Paulo; Presencial; BRL 160.000 - 200.000; Tempo integral

Resumo da oferta

A leading technology and logistics company is seeking a Data Scientist in São Paulo. This role focuses on using quantitative analysis to guide business decision-making and drive operational improvements. Candidates should have strong skills in SQL, Python, and statistical analysis, as well as mentorship experience. The ideal applicant will have a relevant degree and 2+ years in a related field. Join a dynamic team that is committed to growth and innovation in an inclusive environment.

Serviços

Comprehensive benefits

Career growth opportunities

Inclusive work environment

Qualificações

• 2+ years of experience in data analytics or related role.
• Experience with funnel optimization and user segmentation.
• Proficiency in SQL, ETL, A/B Testing, and statistical analysis.

Responsabilidades

• Mentor junior analysts and guide decision-making.
• Use quantitative analysis to drive business decisions.
• Produce recommendations and validate findings.

Conhecimentos

Quantitative analysis

Build analytics experiments

SQL

Python

Statistical analysis

Formação académica

Degree in Math, Physics, Statistics, Economics, or Computer Science

Ferramentas

R

Tableau

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.

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

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

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: https://getcovey.com/nyc-local-law-144

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 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.

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.

If you need any accommodations, please inform your recruiting contact upon initial connection.

To request a reasonable accommodation under applicable law or alternate selection process, please inform your recruiting contact upon initial connection.