Product Data Scientist

Product Data Scientist (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

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.

WHAT YOU WILL BRING TO THE RIDE

Requirements:

• 2-5 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