All jobs in Barcelona
Filled
This offer is not available anymore

Senior Data Scientist in Barcelona

Stuart

Category
Data Engineer
Industry
Logistics Industry
Workplace
Onsite
Hours
Full-Time
Internship
No
Skills
Scala Python Machine Learning
Share offer

Job Description

Stuart (Geopost) 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 800+ 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 🙌

Please note that this role is based in Barcelona (hybrid), so unfortunately, we can't consider remote work from another country. You also need to have the legal right to work in Spain to be eligible for the position.

🌟Let's talk about the Data Science Team 🌟

We develop algorithm-driven solutions for all aspects of Stuart's operations across Europe. Our focus involves pioneering research on new algorithms and methodologies, adapting them into practical solutions to tackle challenges that are pivotal to Stuart's Business and Operations teams, such as:

- Demand & supply forecast: Determining package delivery requirements at any given time and location, along with driver availability.
- Incentive optimization: Maximizing profitability while directing drivers to high-demand areas.
- Ride acceptance prediction: Estimating the likelihood of a driver accepting a ride request.
- Driver lifetime value: Forecasting the tenure and regularity of driver engagement.
- Client churn: Evaluating client satisfaction and loyalty, ensuring we remain their top choice.

And much more...

We work closely with Business and Operations stakeholders to tackle complex challenges and, alongside our Platform & Data Engineering teams, turn them into high-performance, robust products. Our ultimate goal is to push the boundaries of conventional solutions and drive innovation 🚀

If you have a passion for crafting high-performance algorithms to tackle complex problems, working with cutting-edge big data technologies, or applying mathematical modeling to solve business challenges, then you are in the right place!

What will I be doing? 🤔

    • Engage in scientific discussions to enhance our algorithms and provide original insights.
    • Develop data-centric services offering both live short-term and static long-term forecasts, supply optimization, driver behavior prediction, personalized heatmaps, and more.
    • Formulate hypotheses related to the challenges at hand.
    • Design and execute experiments, including A/B tests, to validate hypotheses and analyze supporting data.
    • Build proof-of-concept machine-learning models and apply them to real-world business scenarios.
    • Seamlessly integrate models into production pipelines in collaboration with platform & data engineers.
    • Establish a protocol for monitoring the performance of production models and services.
    • Innovate by exploring data and technology, generating groundbreaking ideas that surprise even our product team!

What do we need from you? 😎

    • 4+ years of experience as a Data Scientist or in a similar role (with at least three years in non-academic positions).
    • Expertise in statistical inference.
    • Strong technical proficiency in developing Machine Learning algorithms, ideally using Python and/or Scala.
    • Demonstrable experience in transforming ML models into data products.
    • Ph.D. or MSc in quantitative Sciences (Mathematics, Physics, Computer Science, Biology) or equivalent experience in a fast-paced tech environment.

      • Nice to have
    • Advanced SQL skills and familiarity with NoSQL databases, such as MongoDB.
    • Experience with virtualization using Docker.
    • Knowledge of workflow management platforms like Airflow.
    • Exposure to event-driven architecture (Kafka Streams, Spark Streaming, Flink, etc.).
    • Familiarity with distributed computing (Spark, Hadoop, etc.).

The stuff you wanna know 😉

    • Work-life balance - work from the office 2/3 times per week 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 Alan 🧑‍⚕️
    • 2 volunteer days per year to have a positive impact on our communities and the environment
    • Work-from-Abroad policy (enjoy 30 days per year working from anywhere!) 🏞
    • Work in an international, dynamic and passionate environment with a company culture focused on learning and development 🎉
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 🤗
 

Read full job description

About 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.

Other data engineer jobs that might interest you...