Lead Data Scientist

We are looking for a highly experienced Data Scientist to lead data-driven initiatives and deliver scalable machine learning solutions to complex business problems. The ideal candidate will combine technical depth in ML/AI with strong business acumen, driving impact through advanced analytics, feature engineering, and model deployment.

Key Responsibilities

• Partner with stakeholders to understand business objectives and translate them into data science solutions.
• Lead the end-to-end lifecycle of data science projects — from problem framing, data exploration, and feature engineering to model development, validation, and production deployment.
• Apply advanced ML algorithms (XGBoost, LightGBM, CatBoost, etc.) to solve classification, regression, and forecasting problems.
• Conduct clustering and unsupervised learning (KMeans, DBSCAN, hierarchical clustering) for segmentation, anomaly detection, and pattern recognition.
• Optimize models for accuracy, interpretability, and scalability in production environments.
• Build reproducible, well-documented data science workflows and collaborate closely with engineering teams on deployment.
• Mentor and guide junior data scientists, setting best practices in experimentation, evaluation, and MLOps.
• Communicate findings and recommendations to technical and non-technical stakeholders through compelling visualizations and narratives.

Required Skills & Qualifications

• 8–12 years of professional experience in Data Science, Machine Learning, or Applied AI.
• Strong expertise in ML algorithms (XGBoost, LightGBM, CatBoost, ensemble methods).
• Solid experience in feature engineering, data preprocessing, and statistical modeling.
• Proficiency in clustering (KMeans, DBSCAN, etc.) and unsupervised learning techniques.
• Hands-on programming skills in Python (pandas, scikit-learn, NumPy, matplotlib, seaborn).
• Familiarity with MLOps tools, cloud platforms (AWS, Azure, GCP), and version control.
• Strong problem-solving skills with the ability to link analytics outcomes to business impact.
• Excellent communication and leadership skills with experience leading cross-functional projects.