Data Scientist at Stuart

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

Our Mission ًںڑ€
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 todayâ€™s environmental and social challenges while offering a premium delivery experience blending speed, flexibility and convenience. 

Our motto: â€œMake every delivery a moment all of us can truly celebrate!â€‌ 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 ًں‡«ًں‡·, Italy ًں‡®ًں‡¹, Poland ًں‡µًں‡±, Portugal ًں‡µًں‡¹, Spain ًں‡ھًں‡¸ and the U.K. ًں‡¬ًں‡§

Itâ€™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 ًں™Œ


About the Data Science Team ًںŒں

You will join our Data Science team to develop algorithm-driven solutions for all business- and operations-related challenges at Stuart in order to scale our operations in Europe. Your focus will be to participate in the research on new algorithms and methods to address topics that are both pain and gain for Stuartâ€™s Business and Operationsâ€™ teams such as:

- Demand & supply forecast: how many packages need to be delivered at any time and zone? and how many drivers are available at that time and zone?
- Incentive optimization: how can we move the driver to high-demand zones while staying profitable?
- Real-time fraud detection & prevention: how can we detect drivers rigging the system & call them out while doing so?
- Ride acceptance prediction: how likely is it that a driver is in for the ride?
- Driver lifetime value: how long and regularly will a driver work for us?
- Client churn: do our clients still love us?
- And plenty more ...

We seek to develop and deliver machine learning services to enable making better business decisions and to provide operational smoothness. Our work is always a team effort where we analyze the conditions and boundaries together with business and operationsâ€™ stakeholders and implement high-performance & robust products together with our Platform & Data engineering teams. Our ultimate goal is to understand the business, determine the limits of state-of-the-art solutions, and break them!

We are looking for a Data Scientist to join our gathering of 12 Physicists, Mathematicians, and Engineers who compose our Data Science team, striving to provide the most efficient and highest performing algorithms in the delivery industry.

If you are passionate about high-performance algorithms for complex problems, big data technologies, or mathematical modeling of business problems, we can guarantee you're in for a ride.



What will I be doing? ًں¤”

Participating in scientific discussions about our algorithms and provide original insights.
Developing data-centric services such as live short-term and static long-term forecasts, fraud detection, prediction of driver behaviors, personalized heatmaps, etc â€¦
Formulating hypotheses about the problem at hand.
Designing experiments and A/B tests to verify our hypotheses and analyze the data to support them.
Building a proof-of-concept machine-learning model and test it on actual business cases.
Integrating the model into a production pipeline alongside platform & data engineers.
Establishing a performance monitoring protocol for the production model/service.
Playing and explore with data and technology to come up with groundbreaking ideas that our product team would have not dreamt of in their wildest dreams.



What do we need from you? ًںکژ

2+ years of experience as a Data Scientist or any similar role (a least one year in non-academic positions).
Solid background in probability / statistics. Ph.D. or MSc in quantitative Sciences (Mathematics, Physics, Computer Science, Biology).
Proven experience in Machine Learning using Python, R, or Scala.



Nice to have âœ¨

SQL and some NoSQL databases, such as MongoDB.
Virtualization using Docker.
Workflow management platforms (Airflow, etc.)
Event-driven architecture (Kafka Streams, Spark Streaming, Flink, etcâ€¦)
Distributed computing (Spark, Hadoop, etcâ€¦)



The stuff you wanna know ًںک‰

Family-friendly work-life balance -آ work from home and flexible hoursآ ًںڈ،
Wellness Allowance (آ£40 monthly) to use in any gym or sport class ًں§ک

آ£200 per month for food (groceries / restaurants / food apps etc) ًں¥—
Audible subscription
Unlimited access to Udemy for all your learning and development needs ًں“ڑ

Stuart Academyآ with regular workshops, Stu-Classes, and Stu-Talks ًںژ“
Stuart is puttingآ Mental Health Awarenessآ first! Wellness Allowance (آ£40 monthly) to use in any gym or sport class ًں§ک

Private healthcare provided by AXA ًں§‘â€چâڑ•ï¸ڈ

Pension taken care of through a partnership with Royal London.
Five months paid maternity leave.
Work in an international, dynamic and passionate environment with a company culture focused on learning and development ًںژ‰



Youâ€™ve read all this way but youâ€™re missing a skill or two? No problem, itâ€™s our job to up-skill you to take your career to the next level. What weâ€™re trying to say is, donâ€™t be afraid to apply if you donâ€™t tick all the boxesآ  ًں’ھ

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 companyâ€™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 ًں™Œ

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

Please note: Our Talent Acquisition Team is international coming from across the world ًںŒچ 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 ًں¤—

Want to learn more about us? Visit https://stuart.com/about-us/آ