Ofertas de empleo en Glovo

• Nivel de experiencia---
• Tipo de contratoA tiempo completo
• Publicada17 jul.

Python Agile TSQL Azure Cloud Coumputing AWS LESS Machine Learning

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 MISSION

We 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 Instagram and check out our Linkedin and website!

• Nivel de experiencia---
• Tipo de contratoA tiempo completo
• Publicada6 jul.

Python TSQL Cloud Coumputing AWS Terraform Spark Big Data LESS Power BI Tableau

Data Analytics Engineer (they/she/he)

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 25 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.

• We have an ‘’office-first’’ culture and we place collaboration at the center of everything we do!
• We have a non-vanilla personality and feedback mindset. We don’t shy away from difficult conversations - we see them as a gift!
• We work with high intensity and have fun along the way. We also celebrate the wins (a lot!).
• We celebrate diversity in all its forms and foster an inclusive culture where everyone can bring their authentic selves to work.
  
  

💪Our career development philosophy.

• We are building a talent house of high performing teams and leaders. We invest in people who raise the bar and help others reach their full potential.
• We take ownership of our career development. We don’t believe in linear and predictable career paths - we create the job of our dreams!
• We embrace opportunities to move the needle and make an impact beyond our scope.
  
  

🤝Our commitment to being a force for good.

• Our platform is an important economic tool for millions of people (customers, partners, couriers) and we are taking action to amplify our positive impact.
• We invest in doing good by dedicating time and resources into social and environmental initiatives.
• We have the ambition of being DIB role models across the tech industry. We are creating environments, systems, and processes that provide equal opportunities, break biases, and empower our communities.
  
  

We have a vision: To give everyone easy access to anything in their cities. And this is where your ride starts.

YOUR MISSION

Join our team to craft robust and scalable data products that drive our business forward. Leverage our Data Mesh strategy to deliver actionable insights, optimize operations, and foster a culture of data-driven innovation across teams.

THE JOURNEY

Responsibilities

• Develop data pipelines and optimize data pipelines: data ingestion from transactional sources and APIs, data transformation with dbt, and workflow orchestration with Airflow
• Model and structure data: Build maintainable data models, including fact tables and slowly changing dimensions, to support analytics and reporting needs.
• Partner with business teams to understand their needs, deliver actionable data solutions, and support self-service analytics.
• Design user-friendly dashboards and LookML models to enable stakeholders to explore and analyze data effectively.
• Stay up to date with the latest data technologies, methodologies, and industry best practices. Experiment with new tools
• Continuously work on improving our data quality
  
  

Requirements

WHAT YOU WILL BRING TO THE RIDE

• Eagerness to work closely with business stakeholders
• Ability to communicate complex data topics to non-technical stakeholders
• Strong analytical skills
• Proficiency with SQL and Python
• Experience building ETL workloads
• Knowledge of data modeling and schema design
• Experience with cloud technologies (GCP, AWS)
• Experience with data visualization tools (e.g. Looker, Tableau, Power BI)
  
  

Nice To Have

• Experience with test automation (data testing, unit and system integration testing)
• Experience building data products in a Data Mesh architecture
• Experience in big data technologies (e.g. Spark), SQL optimisation and performance tuning
• Experience with Infrastructure as a Code (Terraform)
  
  

Individuals representing diverse profiles, 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 with zero delivery fees on all Glovo orders!
• 💳 Cobee discounts on transportation, food, and even kindergarten expenses.
• 🏊 Discounted gym memberships to keep you energized.
• 🏖️Flexible time off (uncapped vacation days) , 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.
  
  

Here in 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 checking out our Linkedin and website!