Senior Product Data Scientist

Glovo is part of the Delivery Hero Group, the world’s pioneering local delivery platform, our mission is to deliver an amazing experience—fast, easy, and to your door. We operate in around 70 countries worldwide. Headquartered in Berlin, Germany. Delivery Hero has been listed on the Frankfurt Stock Exchange since 2017 and is part of the MDAX stock market index.

YOUR MISSION

As a part of the data organization you will work to ensure customers have an excellent experience when ordering through the Glovo app. You will work on problems related to improving the checkout experience, increasing micro-conversions, optimising the post-order experience, and much more.

You’ll join a team of 7 data specialists, embedded in a data domain made of 30+ people, where knowledge sharing and collaboration are at the heart of the day to day. As a senior member of the team, you’ll be accountable for setting a high bar and nurturing a strong experimentation culture.

You’ll work on discoveries that drive the product roadmap and build solutions that impact millions of customers every day.

THE JOURNEY

• Leverage advanced statistical modeling and machine learning techniques to solve for product and business problems that drive the highest impact.
• Work closely with multi-disciplinary teams to define the product roadmap and strategy, monitor and give visibility of product metrics and KPIs.
• Drive product discovery, formulate data-driven hypotheses and convert them into analysis and actionable insights.
• Own analytics tasks end to end in the product development cycle: from ideation and opportunity sizing to experimentation and post-launch impact analyses.
• Foster strong relationships with stakeholders acting as a strategic and supportive link between the technology, business, and product.

WHAT YOU WILL BRING TO THE RIDE

• 5+ years of professional experience outside of an academic and internship setting, in a quantitative analysis role and in product facing teams

• Demonstrable experience with the application of statistical modeling and advanced analytics to provide product-shaping insights and drive decision-making

• Deep theoretical and applied knowledge in statistical inference, causal inference, and advanced experimentation techniques. Demonstrated experience in designing and analyzing large-scale experiments in digital products (A/B test, multivariate, etc).

• Mastery in SQL and Python for Data Science.

• Excellent spoken and written English

Nice to have:

• Knowledge of visualization tools like Tableau, Looker, PowerBI.

• A higher education in a scientific discipline such as Physics, Statistics, Mathematics, Engineering or Econometrics.

We believe driven talent deserves:

• 🌟 An enticing equity plan (dependent on level) that lets you own a piece of the action.
• 💪 Top-notch private health insurance to keep you at your peak.
• 🍔 Monthly Glovo credit to satisfy your cravings!
• 💳 Discounts on transportation, food, and even kindergarten expenses.
• 🏊 Wellhub membership to keep you energised.
• 🏖️Flexible time off, the freedom to work from home two days a week, and the opportunity to work from anywhere for up to three weeks a year!
• 👪 Enhanced parental leave, and office-based nursery.
• 🧠 Online therapy and wellbeing benefits to ensure your mental well-being.
• 📚 An external learning budget to fuel your thirst for knowledge and personal growth.

At Glovo, your success is defined by both results and behaviors. We hire for excellence in craft and for the Leadership Principles that shape how we think, decide, and collaborate. What you achieve matters and how you achieve it defines us. Together, they move the business forward and deliver great experiences. Learn more about our Leadership Principles here.

Here at Glovo, we thrive on diversity, we believe it enhances our teams, products, and culture. We know that the best ideas come from a mashup of brilliant diverse minds. This is why we are committed to providing equal opportunities to talent from all backgrounds – all genders, racial/diverse backgrounds, abilities, ages, sexual orientations and all other unique characteristics that make you YOU. We will encourage you to bring your authentic self to work, fostering an inclusive environment where everyone feels heard.

Feel free to note your pronouns in your application (e.g., she/her/hers, he/him/his, they/them/theirs, etc).

So, ready to take the wheel and make this the ride of your life?

Delve into our culture by taking a peek at our Instagram and check out our LinkedIn and website!