Data Scientist
Core
Build and optimize data science pipelines and machine learning models to deliver predictive analytics and AI applications for global brands across fintech, airlines, FMCG, retail, and manufacturing.
Role type
Data Scientist (Machine Learning & MLOps)
Builds
Cloud-based data ecosystems, predictive models, and AI applications for enterprise clients.
Domain
Data & AI, Fintech, Airlines, FMCG, Retail, Manufacturing
Deliverable
production ML models
Required skills
Python, SQL, scikit-learn, pandas, NumPy, Jupyter Notebooks, machine learning algorithms (classification, regression, clustering, Bayesian learning, ensemble models), feature engineering, model explainability, TensorFlow, PyTorch, Keras
Preferred skills
Recommender systems, churn prediction, customer lifetime value modeling, time series forecasting, optimization (resource allocation, pricing, A/B testing), customer segmentation & clustering, Git/GitHub, MLOps platforms, AI-assisted development tools
Technologies
scikit-learn, pandas, NumPy, Jupyter Notebooks, seaborn, plotly, yellowbrick, TensorFlow, PyTorch, Keras, GitHub, GitLab
Responsibilities
Analyze diverse data sources to assess impact on business outcomes, design and maintain ML pipelines from data cleaning to deployment, research emerging technologies and industry best practices, contribute to the evolution of the Data Analytics platform in ML and MLOps
Seniority
Mid-Senior, hands-on IC