Description du poste
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
- Analyze 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.
- 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 visualizations and presentations.
- Stay updated on industry trends and emerging technologies in data science and supply chain management.
Hard Skills
- 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.
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
- 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.
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
What We Offer
- A great office based in Paris and Lille
- Free choice of work tool (Mac, Windows)
- Local project team and sharing with the global network (international career path)
- Skills development and mentoring (diversity of projects, languages and technologies, certification, events)
- Possibility of certification in the first year (AWS, GCP, etc.)
- Internal and external training
- Employee shareholding
- Monthly and quarterly bonuses
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