What You'll Do
- Design and analyze large-scale experiments on grocery users in the Eats app.
- Perform strategic deep dives to uncover opportunities for product and business growth, including funnel optimization, user segmentation, and lifetime value forecasting.
- Collaborate with Product, Engineering, Design, and other cross-functional partners to understand user behaviors to inform future product strategies.
- Work closely with ML teams to uncover opportunities to improve ranking and personalization.
- Present findings to senior management to inform business decisions.
What You'll Need
- Excellent English proficiency is a must, as you’ll be interacting with English speakers!
Be open to coming to the office in São Paulo at least 2-3 days a week, as we embrace a hybrid work model.
Ph.D., M.S., or Bachelors degree in Statistics, Economics, Operations Research, or other quantitative fields.
- Minimum 2 years of industry experience as a Data Scientist or equivalent.
- Experience in experimental design and analysis, exploratory data analysis and statistical analysis - A/B testing is very important.
- Experience with dashboard/data visualization toolings.
- Ability to use Python to work efficiently at scale with large data sets.
- Proficiency in SQL.
Preferred Qualifications
- 3+ years of industry experience.
- Experience working with funnel optimization, user segmentation, cohort analysis, and lifetime value forecasting.
A/B testing is very important, experience with experimentation and statistical kowledge.
Ability to use Python/R for exploratory data analysis and modeling.
- Strong communication skills across technical and non-technical audiences.
* Accommodations may be available based on religious and/or medical conditions, or as required by applicable law. To request an accommodation, please reach out to .