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.