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Senior Data Product Manager - Routing Algorithms en Barcelona

Stuart

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Descripción de la oferta

Stuart (DPD Group) is a sustainable 🌱 last-mile logistics company that connects retailers and e-merchants to a fleet of geolocalised couriers across several countries in Europe.

Our Mission 🚀
We are an impact-driven company that aims to build the future of logistics for a more sustainable world: shared, efficient and reliable. We are committed to creating a new standard for urban deliveries that meet today’s environmental and social challenges while offering a premium delivery experience blending speed, flexibility and convenience.

Our motto: “Make every delivery a moment all of us can truly celebrate!” More than 3000+ leading brands already partner with us across Restaurants, Grocery, Retail & Luxury, eCommerce and Professional Services to deliver all types of goods at the tap of a button. Stuart is a highly diverse and inclusive company of 700+ employees with 90+ nationalities working across France 🇫🇷, Italy 🇮🇹, Poland 🇵🇱, Portugal 🇵🇹, Spain 🇪🇸 and the U.K. 🇬🇧

It’s the right moment and the right place for us to make an impact on millions of people, as home delivery services hit a record high. And guess what? You can help us fulfil our vision 🙌

Let's talk about Data Product Management ⭐️

The Data Product team's vision is to identify the right business problems and solve them with data and algorithmic solutions. We are the builders, innovators, and fine tuners on a mission to ship the right products to our clients while offering the best experience to our couriers. We’re passionate about looking at problems in fresh and innovative ways – every problem is just an opportunity for a great solution. Together, we're building the world’s most advanced and scalable delivery management platform and crafting the future of logistics for a sustainable world: shared, efficient, and reliable 🚀
 

What will I be doing? 🤔

    • Improving the performance of thousands of deliveries by defining and help bring to life high-performing real-time algorithms. 🚴‍♂️
    • Collaborating with experts in Data Science, Engineering, and Analytics in order to identify priorities and orchestrate cross-functional projects
    • Understanding business priorities and technical constraints to manage a living roadmap
    • Supporting the company-wide effort to make data-driven decisions part of Stuart’s DNA 🧬

What do we need from you? 😎

    • 4+ years experience with Data and Product Management with a focus on Machine Learning algorithms.
    • MS, MBA or Ph.D. in Computer Science, Data Science, Statistics or related technical field or equivalent preferable.
    • Proven ability to communicate and manage change across multiple teams and levels of seniority.
    • Personal drive to influence stakeholders and gather critical information across the whole company.
    • Demonstrated ability to achieve strategic goals in an innovative and fast-paced environment.
    • Knowledge of multiple functional areas such as product management, engineering, UI, sales, customer support, finance, or marketing.
    • Experience with geolocation problems will be a plus 💪😎

The stuff you wanna know 😉

    • Family-friendly work-life balance - work from home and flexible hours 🏡
    • Ticket Restaurant by Edenred (€11 daily)
    • 🥗Unlimited access to Udemy for all your learning and development needs
    • 📚Stuart Academy with regular workshops, Stu-Classes, and Stu-Talks 🎓
    • Stuart is putting Mental Health Awareness first! Wellness Allowance (€40 monthly) to use in any gym or sport class
    • 🧘Private healthcare provided by Sanitas 🧑‍⚕️
    • Free monthly Bicing card for non-remote workers 🚲
    • Work in an international, dynamic and passionate environment with a company culture focused on learning and development 🎉
You’ve read all this way but you’re missing a skill or two? No problem, it’s our job to up-skill you to take your career to the next level. What we’re trying to say is, don’t be afraid to apply if you don’t tick all the boxes 💪🏼

At Stuart, we believe that employees today want to evolve in collaborative, high-growth environments where they can demonstrate their abilities and thrive both professionally and personally. We are convinced that employees need to find alignment between their inner values and their company’s culture and mission to unlock their full potential. We work to create a culture of empowerment, continuous learning and growth where everyone can bring expertise, own projects and easily measure their impact 🙌

Stuart is proud to be an equal opportunity workplace dedicated to promoting diversity. We don’t discriminate on the basis of race, religion, colour, national origin, gender, sexual orientation, age, marital status or disability status 💙

Please note: Our Talent Acquisition Team is international coming from across the world 🌍 We kindly ask you to please submit your CV and application in English so that it can be reviewed correctly (unless the job posting is in a language other than English). Thank you 🤗
 

Acerca de Stuart

  • Logistics

  •  Barcelona, Spain

  • 1-50 employees

  • 2015

Stuart is speeding up the way local goods are transported in a city by allowing anyone to deliver anything at any time. Connecting people and businesses with local couriers, Stuart is the on-demand urban logistics app & platform that will transform our daily life.

Stuart mission is to become the on-demand delivery leader in every supercity of the world through a simpler, quicker and cheaper transportation model.

From data scientists to restless couriers, designers to operation managers… Stuart strength rests upon our plurality of skills and expertise, building up our unique team. They operate from their headquarters in Barcelona, as in Paris, Brussels, London and Berlin, the first cities they'll ride through.

Co-Founded in 2015 by D. Leca (Sparrow founder acquired by Google in 2012), Stuart is now backed by great entrepreneurs such as J.D. Blanc (Allociné), J.A. Granjon (Vente-privee.com) and O. Mathiot (PriceMinister), with a total investment of €22 million.

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