Machine Learning Engineer

Description

Job Summary: We are seeking a Senior Data Analytics Analyst to drive strategic decisions and transform data into compelling business narratives and predictive models. Key Highlights: 1. Act as a transformation agent within the data team 2. Lead Data Analytics projects with a focus on ROI 3. Develop and implement statistical and ML models as data products Want to join the world's largest sporting goods company? **\#JoinDecathlonTeam** Our purpose is to move people through the wonders of sport! If, like us, you're a passionate athlete, we have an incredible opportunity for you. The Senior Data Analytics Analyst is the **transformation agent** we’re looking for. In our DATA team, we believe information is the most valuable asset for defining the company’s future. We seek a Senior professional with **strong analytical capability** to extract business value and **deep technical expertise** to build and implement statistical and Machine Learning models. You will act as a strategic partner driving decisions at all levels. We value curiosity, continuous learning, and autonomy to propose and implement solutions. Our team is multidisciplinary, and you’ll have the opportunity to work side-by-side with **leadership and teams from Business, Product, and Technology**. If you seek an environment where your analysis directly impacts growth, you’ve found the right place! **The Challenge:** The primary challenge of this role is to elevate the company’s analytical maturity, ensuring our data platforms are leveraged to generate competitive advantage. You will be responsible for transforming raw data into compelling business narratives and predictive models that define the future of our products and strategies. **Responsibilities and Duties** **What are the main responsibilities?** * Lead end-to-end Data Analytics projects—from scope definition to presenting strategic results to various leadership levels and business areas—**prioritizing initiatives with clear financial Return on Investment (ROI).** * Act as a **Diagnostic Expert**, conducting complex and rapid ad-hoc analyses to uncover high-value opportunities and critical business issues, ensuring rapid knowledge delivery (Quick-Win). * **Develop, implement, and monitor Statistical and Machine Learning (ML) Models** that become **recurring data products**, delivering continuous value to business areas (e.g., propensity models, segmentation, recommendation, prediction). * Explore and apply the possibilities of **Generative Artificial Intelligence (Gen AI)** to accelerate value creation and analytical efficiency. * Rigorously measure and track the financial impact (effect on revenue, cost, or margin) of all implemented suggestions and models across business areas, ensuring feedback loops and ROI validation. * Propose and implement improvements in data governance and modeling practices, ensuring data is reliable, accessible, and ethically utilized. **Requirements and Qualifications** **What do you need?** * Experience in Data Analytics, Business Intelligence, or related fields. * Advanced SQL knowledge for handling large data volumes, data modeling, and optimizing complex queries. * Proficiency in programming languages for statistical analysis and data modeling, such as Python (with Pandas, Scikit-learn libraries). * Knowledge of applying advanced statistical methods and the Machine Learning (ML) model lifecycle. * Experience with data visualization tools (Power BI, Tableau). * Business analysis knowledge, with the ability to translate business problems into clear technical and analytical requirements. * Practical experience building and maintaining simple data pipelines (ETL/ELT) and familiarity with Cloud environments (AWS) and/or platforms such as Databricks. * Intermediate English. **What do we expect from our players?** * Believe in the joys and benefits of sport; * Ability to lead data projects from start to finish; * Passion for staying updated on the latest trends and technologies in Data & Analytics; * Action- and challenge-oriented; * Passionate about customer satisfaction; * Value teamwork and collective play; * Proactive and entrepreneurial mindset; * Capable of working responsibly and autonomously; * Courageous in decision-making; * Creative and adaptable in adverse situations. **Additional Information** **Our Benefits** * DecaPack: Monthly compensation, transportation allowance, meal or food voucher, medical and dental assistance, Dra. Decah (nutritional and sports coaching, telepsychology, and telemedicine), life insurance, pharmacy allowance (Epharma), monthly bonus, profit-sharing and results participation. * Hybrid work: Three days per week working remotely. * Mothers, Fathers, and Future Athletes: Extended maternity leave of 180 days and extended paternity leave of 20 days. * Passion for sport: Sports allowance (Gympass or Total Pass) and 30% discount on Decathlon’s own-brand products. * For your future: Stock ownership program and private pension plan. * Corporate university for training and development of our athletes. We believe sustainability and diversity are essential so that the greatest number of people can access sports practice. Therefore, all our job openings are open to everyone without any distinction. Let’s do it together!