Decathlon

Designs and sells sports equipment and clothing

Senior Data Scientist - Demand Forecast

Applied Machine LearningConfirmed live in the last 24 hours

Full-timeNo salary listedIn-person

About the Job

Requirements

A bachelor's degree in Computer Science, Statistics, Mathematics, Engineering, or a related field is required.
At least five years of experience in data science, statistical modelling, or related fields is required.
Proficiency in Python for data analysis and modelling is required.
Proficiency in statistical analysis, forecasting, machine learning techniques, time series, time series foundation models, and time series analysis including stationarity, decomposition, drift, and anomaly detection is required.
Experience with programming languages and tools such as Python, Spark, TensorFlow, and PyTorch for data analysis and modelling is required.
Knowledge of data manipulation and visualisation tools such as pandas, NumPy, Matplotlib, or ggplot2 is required.
Familiarity with database systems and querying languages such as SQL and PySpark for data extraction and manipulation is required.
Ability to communicate technical concepts as actionable insights to non-technical stakeholders is required.

Responsibilities

Analyse historical sales data and market trends to forecast demand for Decathlon products.
Develop and implement advanced statistical models and machine learning algorithms, including foundation models, for demand forecasting and assortment planning.
Collaborate with Supply Chain Business, Engineering, and Product Development teams to align data and artificial intelligence efforts with business objectives.
Evaluate and improve forecasting models and methodologies to increase accuracy and efficiency.
Communicate insights and recommendations to stakeholders through data visualisations and presentations.
Keep up to date with industry trends and emerging technologies in data science and supply chain management.
Develop artificial intelligence models for production and provide insights and recommendations to improve demand forecasting and assortment planning processes.

Desired Qualifications

A master's or Ph.D. degree in Data Science, Statistics, Operations Research, or a related field is preferred.
Experience in demand forecasting, inventory optimisation, or supply chain analytics is preferred.
Familiarity with Agile methodologies and project management tools is preferred.
Previous experience in the retail or e-commerce industry is preferred.
Experience implementing generative artificial intelligence to enhance forecasting and optimise business or organisational processes for product delivery is preferred.
Experience with demand forecasting and inventory optimisation software or tools is a plus.
Experience with generative artificial intelligence is a plus.

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

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.

Technical Environment

Execution Engine: Databricks, AWS EKS, Sagemaker
Payload: Python, Spark, Scikit-Learn, Tensorflow / Pytorch, Pyspark
CICD: Github Actions
Serving: Docker, Protobuf, gRPC
Model registry, Model Tracking: MLFlow
Orchestration: Airflow
Documentation / code: Git, Confluence
Data Visualisation: Tableau
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.

About the Company

Decathlon

Designs and sells sports equipment and clothing

Decathlon designs, makes and sells sports equipment, footwear and clothing for people ranging from beginners to competitive athletes. Its own sports brands cover activities such as hiking, cycling, running and swimming, with products developed around the needs of each sport. Teams manage product design, production and distribution, combining physical stores with online shopping to sell directly to consumers while also carrying selected partner brands. Revenue comes from sales of sporting goods, with its own product development and purchasing operations supporting a broad assortment at accessible prices. Founded in 1976, Decathlon is headquartered in Villeneuve-d'Ascq, France.

Company size: 10,001+
Company stage: Not listed
Total funding: Not listed
Headquarters: Not listed
Founded: 1976

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