LocationFrance, Lille, Upline, Nord, France; Paris, Paris
Typefull-time
SenioritySenior
Experience5+ yrs
DepartmentData
Company size10,000+ people
First seenOct 3, 2026 · 1w ago
Verified live1d ago
At a glanceSummarised by Seekless from the posting.
Must have13
Bachelor's degree in Computer Science, Statistics, Mathematics, Engineering, or related field
5+ years of experience in data science, statistical modelling, or related fields
Proficiency in Python for data analysis and modelling
Proficiency in statistical analysis, forecasting, machine learning techniques, time series, time series foundation models and time series analysis (stationarity, decomposition, drift, anomaly detection)
Experience with programming languages such as Python, Spark, TensorFlow, Pytorch for data analysis and modelling
Strong knowledge of data manipulation and visualisation tools such as pandas, NumPy, Matplotlib, or ggplot2
Familiarity with database systems and querying languages (e.g., SQL, PySpark) for data extraction and manipulation
Excellent analytical and problem-solving abilities with a keen attention to detail
Strong communication and collaboration skills to work effectively in cross-functional teams
Ability to translate complex technical concepts into actionable insights for non-technical stakeholders
Self-motivated with a proactive approach to learning and professional development
Ability to thrive in a fast-paced and dynamic environment with changing priorities
Initiative and proactivity
Nice to have8
Master's or Ph.D. degree in Data Science, Statistics, Operations Research, or related field
Minimum 5 years of experience in Data Science
Experience in demand forecasting, inventory optimisation, or supply chain analytics
Familiarity with Agile methodologies and project management tools
Previous experience in the retail or e-commerce industry is a plus
Experience in implementing Generative AI to enhance forecasting, alongside optimising business or organisational processes for product delivery
Experience with demand forecasting and inventory optimisation software/tools is a plus
Experience with Generative AI is a plus
Skills
Python
Spark
TensorFlow
PyTorch
pandas
NumPy
Matplotlib
ggplot2
SQL
PySpark
Databricks
AWS EKS
Sagemaker
Scikit-Learn
GitHub Actions
Docker
Protobuf
gRPC
MLFlow
Airflow
Git
Confluence
Tableau
Gemini Enterprise Agent Platform
About Decathlon
Decathlon aims to become the best sports digital platform and open ecosystem in the world. We want to enable customers to experience Decathlon through many local sport-centric experiences by connecting many third-party actors and services, in a secure and performant way.
Our digital teams bring together more than 5000 collaborators are united to build and scale digital products with the aim to always deliver the best value to our users. With a presence in more than 70 countries, Decathlon is committed to innovation, sustainability, and customer satisfaction.
Job Description
Decathlon is seeking a talented and experienced Data Scientist to join our Demand and Assortment Planning team within the Supply Chain department. As a Senior Data Scientist, you will play a critical role in developing AI models into production and providing insights/recommendations to optimise demand forecasting and assortment planning processes. We welcome candidates with expertise in time series forecasting and a passion for leveraging data to drive business decisions.
Responsibilities
•
Analyse and study historical sales data and market trends to forecast demand for Decathlon products.
•
Develop and implement advanced statistical models and machine learning algorithms for demand forecasting and assortment planning, including foundation models.
•
Collaborate with cross-functional teams including Supply Chain Business, Engineering, and Product Development to align Data and AI efforts with business objectives.
•
Evaluate and improve existing forecasting models and methodologies to enhance accuracy and efficiency.
•
Communicate insights and recommendations to stakeholders through clear and concise data visualisations and presentations.
•
Stay updated on industry trends and emerging technologies in data science and supply chain management.
Hard Skills
•
Proficiency in statistical analysis, forecasting, machine learning techniques, time series, time series foundation models and time series analysis (stationarity, decomposition, drift, anomaly detection).
•
Experience with programming languages such as Python, Spark, TensorFlow, Pytorch for data analysis and modelling.
•
Strong knowledge of data manipulation and visualisation tools such as pandas, NumPy, Matplotlib, or ggplot2.
•
Familiarity with database systems and querying languages (e.g., SQL, PySpark) for data extraction and manipulation.
•
Experience with demand forecasting and inventory optimisation software/tools is a plus.
•
Experience with Generative AI is a plus.
Soft Skills
•
Excellent analytical and problem-solving abilities with a keen attention to detail.
•
Strong communication and collaboration skills to work effectively in cross-functional teams.
•
Ability to translate complex technical concepts into actionable insights for non-technical stakeholders.
•
Self-motivated with a proactive approach to learning and professional development.
•
Ability to thrive in a fast-paced and dynamic environment with changing priorities.
•
Initiative and proactivity
Qualifications
Basic Qualifications
•
Bachelor’s degree in Computer Science, Statistics, Mathematics, Engineering, or related field.
•
5+ years of experience in data science, statistical modelling, or related fields.
•
Proficiency in Python for data analysis and modelling.
Preferred Qualifications
Nice to have
•
Master’s or Ph.D. degree in Data Science, Statistics, Operations Research, or related field.
•
Minimum 5 years of experience in Data Science.
•
Experience in demand forecasting, inventory optimisation, or supply chain analytics.
•
Familiarity with Agile methodologies and project management tools.
•
Previous experience in the retail or e-commerce industry is a plus.
•
Experience in implementing Generative AI to enhance forecasting, alongside optimising business or organisational processes for product delivery.
Agentic & Gen Ai : Gemini Enterprise Agent Platform
DECATHLON DIGITAL
Imaginez si la technologie nous permettait de repousser les frontières et d’offrir des expériences sportives inédites. C’est précisément notre ambition chez Decathlon Digital ! Nous sommes une équipe de plus de 5 000 experts en ingénierie logicielle, gestion de produits, données, cloud et cybersécurité, répartis à Paris, Lille et Amsterdam. Ensemble, nous créons la plus vaste plateforme sportive numérique, en exploitant les innovations technologiques pour optimiser la chaîne de valeur, concevoir des expériences connectées et donner une seconde vie à nos produits.
Changeons la donne pour de bon. Notre passion du sport nous guide et nous voulons qu’elle perdure. C’est pourquoi nous nous engageons à bâtir un modèle technologique plus durable, en réduisant notre impact direct sur l’environnement, et en créant un espace sûr et inclusif pour apprendre et nous épanouir ensemble. Rejoins l’équipe et façonnons le futur du sport.