Senior Data Scientist - Demand Forecast
LocationParis, France
Typefull-time
SenioritySenior
Experience5+ yrs
DepartmentData
Company size10,000+ people
PostedJul 3, 2026 · 3mo ago
Verified live1d ago
At a glanceSummarised by Seekless from the posting.
Bachelor's degree in Computer Science, Statistics, Mathematics, Engineering, or related field
5 year of experience in data analysis, statistical modeling, or related fields
Proficiency in Python for data analysis and modeling
Proficiency in statistical analysis, machine learning techniques, time series analysis and forecasting
Experience with programming languages such as Python, Spark, TensorFlow, Pytorch for data analysis and modeling
Strong knowledge of data manipulation and visualization 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
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 optimization, 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 optimizing business or organizational processes for product delivery
Experience with demand forecasting and inventory optimization software/tools 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 in Lille, Paris, and Amsterdam (and more…) which 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 analyzing data, developing AI models to production, and providing insights to optimize 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
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Analyze historical sales data and market trends to forecast demand for Decathlon products.
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Develop and implement advanced statistical models and machine learning algorithms for demand forecasting and assortment planning, including foundation model.
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Collaborate with cross-functional teams including Supply Chain Business, Engineering, and Product Development to align Data and AI efforts with business objectives.
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Evaluate and improve existing forecasting models and methodologies to enhance accuracy and efficiency.
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Communicate insights and recommendations to stakeholders through clear and concise data visualizations and presentations.
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Stay updated on industry trends and emerging technologies in data science and supply chain management.
Hard Skills
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Proficiency in statistical analysis,machine learning techniques, time series time series analysis (stationarity, decomposition, drift, anomaly detection) and forecasting.
•
Experience with programming languages such as Python, Spark, TensorFlow, Pytorch for data analysis and modeling.
•
Strong knowledge of data manipulation and visualization 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 optimization software/tools 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 year of experience in data analysis, statistical modeling, or related fields.
•
Proficiency in Python for data analysis and modeling.
Preferred Qualifications
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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 optimization, 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 optimizing business or organizational processes for product delivery.
Technical Environment
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Execution Engine: Databricks, AWS EKS, Sagemaker
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Payload: Python, Spark, Scikit-Learn, Tensorflow / Pytorch, Pyspark
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CICD: Github Actions
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Serving: Docker, Protobuf, gRPC
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Model registry, Model Tracking: MLFlow
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Orchestration: Airflow
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Documentation / code: Git, Confluence
•
Data Visualisation: Tableau
•
Agentic & Gen Ai : Gemini Enterprise Agent Platform
DECATHLON DIGITAL CONTEXT
What if technology allowed us to push the boundaries and take sports experiences to new levels? That’s exactly our goal at Decathlon Digital! We are a team of 5,000+ experts in software engineering, product management, data, cloud, and cybersecurity, distributed across Paris, Lille, and Amsterdam. Together, we are creating the largest digital sports platform, leveraging tech innovation from design to value chain optimization, connected experiences and product second life.
Changing the game for good. We are in this for the love of sports. And like everything we love, we want it to last. That’s why we are embarking on a journey to create a more sustainable tech model, reducing our direct environmental impact while maintaining a safe, diverse, and inclusive space for all our people to learn and thrive together. Team up with us to design the digital future of sports.