Senior Data Scientist at Delivery Hero

Barcelona, Catalonia, Spain -

Full Time

Start Date

Immediate

Expiry Date

08 Jun, 26

Salary

0.0

Posted On

10 Mar, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data Science, Machine Learning, Experimentation, Predictive Algorithms, Prescriptive Algorithms, Statistical Inference, Optimization Models, Recommendation Systems, SQL, Airflow, Luigi, Dagster, GCP, AWS, Azure, Python ML/DS Ecosystem

Industry

technology;Information and Internet

Description

Company Description 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. Job Description YOUR MISSION We are looking for a talented and passionate Data Scientist to join the Data team in our Barcelona HQ. Data Science, Machine Learning, and Experimentation are key drivers of Glovo’s customer engagement strategy. Data scientists own the core models that optimize Glovo’s user retention and loyalty. These include our recommendations and personalization engines, which drive millions of euros annually in incremental revenue. 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 and online experiments. Contribute to building our models for personalized recommendations. Work in cross-functional teams across disciplines such as product, engineering and design. Guide and mentor junior team members to enable fast and impactful delivery. Act as a reference for system architecture, influencing key technical decisions and aligning model integration with the overall platform design, ensuring reliability, low latency, and smooth integration with product features. 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. Qualifications 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 and deep learning. 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 building recommendation systems at scale. 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! Additional Information 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!

Responsibilities

The role involves developing, testing, and productionizing predictive and prescriptive algorithms using state-of-the-art machine learning and statistical models, while also contributing to building models for personalized recommendations. Responsibilities include evaluating algorithms via experiments, guiding junior team members, and influencing technical decisions regarding system architecture and model integration.