Data Scientist

Glovo

  • Barcelona
  • Permanente
  • Tiempo completo
  • Hace 2 meses
If you're here, it's because you're looking for an exciting ride.A ride that will fuel up your ambitions to take on a new challenge and stretch yourself beyond your comfort zone.We'll deliver a non-vanilla culture built on talent, where we work to amplify the impact on millions of people, paving the way forward together.Not your usual app. We are the fastest-growing multi-category app connecting millions of users with businesses, and couriers, offering on-demand services from more than 170,000 local restaurants, grocers and supermarkets, and high street retail stores. We operate in more than 1500 cities across 23 countries.Together we revolutionise the way people connect with their everyday needs, from delivering essentials to connecting our ecosystem of users through innovative solutions powered by technology. For us, every day is filled with purpose.What makes our ride unique?🤝 Our culture and strong values.💪 Our career development philosophy.🤝 Our commitment to being a force for good.We have a vision: To give everyone easy access to anything in their cities. And this is where your ride starts.YOUR MISSIONWe are looking for a talented and passionate Data Scientist to join the Lifecycle Data team in our Barcelona HQ.Data Science, Machine Learning, and Experimentation are key drivers of Glovo's customer engagement strategy. Data scientists at Lifecycle own some of the most impactful models and insights that optimize Glovo's user retention and loyalty. This includes churn prediction models, customer segmentation, lifetime value modeling, and personalized recommendation engines. As a Data Scientist, you will have the opportunity to work on projects that directly impact Glovo's ability to maximize user engagement, retention, and overall lifetime value.THE JOURNEY
  • Develop, test, and productionize predictive and prescriptive algorithms using state-of-the-art machine learning, statistical inference, and optimization models.
  • Evaluate algorithms through controlled offline (e.g., cross-validation) and online experiments (e.g., A/B testing, uplift modeling).
  • Contribute to one or more of the following areas: churn prediction, customer segmentation, lifetime value modeling, and personalized recommendations.
  • Design and implement experiments to measure the effectiveness of lifecycle initiatives, providing actionable insights to product and marketing teams.
  • Work in cross-functional teams across disciplines such as product, engineering, growth, and CRM, amongst others.
  • Stay on top of new technologies and industry trends in data science, customer analytics, and retention strategies.
  • Promote best-in-class standards, taking inspiration from industry thought leaders.
WHAT YOU WILL BRING TO THE RIDE
  • Deep theoretical and applied knowledge in at least one of the following areas: traditional machine learning, statistical modeling, causal inference, customer analytics, time series analysis, and optimization.
  • Extensive experience with the end-to-end predictive/prescriptive model development cycle, from problem definition to productionalization and maintenance. This includes:
  • Strong data modeling and SQL skills.
  • Familiarity with orchestration tools (Airflow, Luigi, Dagster) and cloud infrastructures (GCP, AWS, Azure).
  • Extensive experience using the Python ML and DS ecosystem.
  • Excellent verbal and written communication in English, as you will use it to collaborate with stakeholders and senior management from diverse backgrounds.
  • Working knowledge of agile development.
  • Change management skills and adaptability in a fast-paced environment.
  • Strong presentation skills in communicating with experts and non-experts alike.
GOOD TO HAVE:
  • Experience in applying Data Science techniques to customer retention, engagement, and lifecycle optimization.
  • Experience working with CRM data, A/B testing frameworks, and customer segmentation tools.
  • At least an MSc, and preferably a PhD in a scientific discipline such as Computer Science, Mathematics, Statistics, Economics, or a related field.
Even if it seems you don't meet our musts, don't let it stop you! We are all about finding the best talent out there. Skills can be learned, and embracing diversity is invaluable.Individuals representing diverse profiles, and abilities, encompassing various genders, ethnicities, and backgrounds, are less likely to apply for this role if they do not possess solid experience in 100% of these areas. Even if it seems you don't meet our musts don't let it stop you, we are all about finding the best talent out there! Skills can be learned, and embracing diversity is invaluable.We believe driven talent deserves:
  • 🌟 An enticing equity plan 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.
  • 🏊 Discounted gym memberships to keep you energized.
  • 🏖️ Extra 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.
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 and check out our and !

Glovo