Lead Data Scientist

3 weeks ago

Pune Maharashtra India, Maharashtra Fulcrum Digital Inc Full time

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.

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