Senior Product Data Scientist at Delivery Hero

Barcelona, Catalonia, Spain -

Full Time

Start Date

Immediate

Expiry Date

27 Aug, 26

Salary

0.0

Posted On

29 May, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Statistical Modeling, Machine Learning, SQL, Python, A/B Testing, Product Analytics, Data Visualization, Causal Inference, Experimental Design, Agile Methodologies, Pandas, SciPy, Seaborn, Tableau, Looker, PowerBI

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 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 recommendations, pricing, customer retention and more. You will be responsible for nurturing a strong experimentation culture, work on discoveries that drive the product roadmap and build solutions that impact millions of customers. THE JOURNEY Be part of a team where you will: 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. Qualifications WHAT YOU WILL BRING TO THE RIDE Requirements: 6+ years of professional experience outside of an academic and internship setting, in a quantitative analysis role, preferably in product facing teams A higher education in a scientific discipline such as Physics, Statistics, Computer Science, Mathematics or Economics. Knowledge and experience in digital product development and working with diverse stakeholders 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 at-least one of the following areas: supervised and unsupervised learning, deep learning, reinforcement learning, game theory, statistical inference, bayesian statistics, causal inference, time series analysis, decision theory, mathematical optimisation Good understanding of software development and agile methodologies Mastery in SQL and statistical programming (Python) and experience working with popular libraries such as Pandas, SciPy, Seaborn, Jupyter/iPython notebooks Demonstrated experience in designing and analyzing experiments in digital products (A/B test, multivariate, etc) Knowledge of visualization tools like Tableau, Looker, PowerBI Excellent spoken and written English 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 (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. 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!

Responsibilities

The role focuses on improving customer experience through recommendations, pricing, and retention using advanced statistical modeling and machine learning. You will drive product discovery, manage the end-to-end analytics cycle, and collaborate with multi-disciplinary teams to define product strategy.