Senior Data Scientist

Responsibilities :

. Collaborate with business leaders to understand business needs and translate them into actionable AI products. . Apply state-of-the-art algorithms and predictive models (Machine Learning/Deep Learning) to answer business problems. . Model Development: Build, validate, and deploy advanced machine learning models (e.g., CatBoost, XGBoost, deep learning) for forecasting, optimization, and recommendation systems. . Causal Inference & Experimentation: Apply causal inference techniques and design experiments to measure the impact of interventions. . Data Strategy: Partner with data engineers to ensure robust data pipelines and scalable architectures. . Business Impact: Translate complex analytics into actionable insights for stakeholders in business like QFS, R&I, Ops, Sales, Marketing. . Innovation: Explore and implement state-of-the-art AI techniques (e.g., generative AI, reinforcement learning) to solve business challenges. . Mentorship: Guide junior data scientists and foster best practices in coding, model governance, and documentation. . Design GenAI Evaluation Frameworks GenAI, Agentic and classic ML. . Implement robust evaluation frameworks within key AI providers, including offline metrics, error analysis, and bias detection.

Additional Responsibilities:

We are looking for people having:

More than. 7 years of experience in Data Science within a fast-paced and complex business setting, preferably working as a Data Scientist.

A MSc, PhD or other Advanced Degree in a field linked to computer science, applied mathematics, statistics, machine learning, or closely related fields

Experience in Fast-Moving Consumer Goods (FMCG) industry is a plus.

Technical and Professional Requirements:

We are looking for people having the following technical skills: . Programming: python (pandas, numpy), Spark, Git . Modeling: supervised & unsupervised learning . Infrastructure : Cloud (Azure is a plus) . Data Science tools/modules: Databricks / MLFlow/ Mosaic. Microsoft / Foundry . Solid understanding of statistics, causal inference, and optimization.