Senior Data Scientist - Demand Forecast (f/m/d)
About this role
Professionals who thrive on solving complex supply chain challenges through advanced statistical methods will find a natural home in this role. Decathlon is searching for a Senior Data Scientist to join the Demand and Assortment Planning team within the supply chain department. The group builds and scales digital products across a global sporting goods platform, uniting thousands of technology collaborators.
In daily work, the incoming specialist will develop artificial intelligence models into production and translate historical sales data into accurate demand forecasts. Responsibilities also include building advanced machine learning algorithms and collaborating closely with engineering, product development, and supply chain business units. Decathlon maintains a presence in over seventy countries and focuses on building sustainable, scalable digital systems to connect third-party actors and local sport-centric experiences.
What you will do
- Analyse historical sales data and market trends to forecast product demand accurately.
- Develop and implement advanced statistical models and machine learning algorithms, including foundation models, for demand forecasting and assortment planning.
- Collaborate with cross-functional supply chain, engineering, and product development teams to align data efforts with business objectives.
- Evaluate and improve existing forecasting methodologies to enhance accuracy and efficiency.
- Communicate insights and recommendations to stakeholders through clear data visualisations and presentations.
- Monitor industry trends and emerging technologies related to data science and supply chain management.
What you need
- Hold a Bachelor's degree in Computer Science, Statistics, Mathematics, Engineering, or a related field.
- Bring a minimum of five years of professional experience in data science, statistical modelling, or related areas.
- Demonstrate proficiency in Python for data analysis and modelling.
- Possess expertise in statistical analysis, machine learning techniques, time series, and time series foundation models.
- Bring strong knowledge of data manipulation and visualisation tools such as pandas, NumPy, Matplotlib, or ggplot2.
- Show familiarity with database systems and querying languages like SQL and PySpark for data extraction.
Nice to have
- Master's or Ph.D. degree in Data Science, Statistics, Operations Research, or a related field
- Experience with demand forecasting and inventory optimisation software or tools
- Experience with Generative AI
- Familiarity with Agile methodologies and project management tools
- Previous experience in the retail or e-commerce industry
Skills and tech stack
Questions candidates ask
Where is the role located?
The position is based in Lille, Upline, Nord, France, or Paris, Paris, France. The digital team members are distributed across Paris, Lille, and Amsterdam.
What technical environment will I be using?
The execution engine includes Databricks, AWS EKS, and Sagemaker, while the payload involves Python, Spark, Scikit-Learn, TensorFlow, PyTorch, and PySpark. For serving and orchestration, the team uses Docker, Protobuf, gRPC, MLFlow, and Airflow.
What team will I be joining?
You will join the Demand and Assortment Planning team within the Supply Chain department. This group operates within Decathlon Digital, which brings together more than 5,000 collaborators building and scaling digital products.
The application is on the official Decathlon Digital FR careers page.
Apply on company site