Mission Description:
Join our Advanced Analytics team as a Data Scientist in the Commercial Performance Tower.
You will play a key role in designing, developing, and deploying scalable machine learning models that drive business impact.
This is a hands-on role focused on model development, deployment, and optimization in real-world commercial environments.
About the Role:
We are seeking a skilled and proactive Data Scientist to strengthen our analytics capabilities.
You will work on high-impact projects involving recommendation systems, demand forecasting, and predictive modeling using state-of-the-art techniques.
The ideal candidate is passionate about turning data into actionable insights and has strong experience in model deployment within cloud environments (Azure, Databricks).
You will collaborate closely with data engineers, ML engineers, and business stakeholders to deliver end-to-end data science solutions that optimize commercial performance.
Key Responsibilities:
Design, develop, and optimizerecommendation systems(collaborative filtering, content-based, hybrid approaches)
Build and validatetime series forecasting modelsusing ARIMA, Prophet, LSTM, and other ML-based methods
Implement and tuneboosting algorithms(XGBoost, LightGBM, CatBoost) anddecision tree-based modelsfor classification and regression tasks
Perform end-to-enddata exploration, feature engineering, and model evaluation
Collaborate with engineering teams todeploy models into productiononAzureandDatabricks
Translate business problems into analytical frameworks and communicate results to technical and non-technical audiences
Stay current with emerging trends and tools in machine learning and data science
Profile Requirements:
Education:
Bachelor's or Master's degree inData Science, Computer Science, Engineering, Statistics, or a related quantitative field
Experience & Skills:
Proven experience inrecommender systemsandtime series forecasting
Strong expertise inboosting algorithms(XGBoost, etc.) anddecision trees
Proficiency inPythonand key libraries: scikit-learn, pandas, NumPy, statsmodels
Experience withAzure Machine Learning,Databricks, and cloud-based model deployment
Familiarity withC++(a plus for performance-critical components)
Solid understanding ofML lifecycle, from prototyping to production
Excellentproblem-solving skillsand ability to work independently in a fast-paced environment
Fluent in English(written and spoken) – essential for global collaboration
Why Join Us?
Be part of a high-performing analytics team driving real business impact
Work on cutting-edge machine learning applications in a dynamic commercial environment
Access to modern tools and cloud infrastructure (Azure, Databricks)
Opportunities for growth within theMantu Groupecosystem