Data Scientist Lead

Experience: 12+ Years

Location: Noida / Hyderabad

Skills: Machine Learning, Statistical modeling, Hypothesis testing, Predictive analytics, Forecasting, Python, Pandas, NumPy, Scikit-learn, TensorFlow, PyTorch, R, SAS, Deep learning, CNN, NLP models, Time series forecasting, Optimization techniques, Feature engineering, Model evaluation metrics, Big data frameworks, Spark, Hadoop, Azure, AWS, GCP, Databricks, ML platforms, AutoML tools, Data pipelines, ETL, ELT processes, Data warehousing, MLOps, APIs, Containers, Docker, Kubernetes, CI/CD pipelines, Drift detection, Retraining strategies, Power BI, Tableau, Matplotlib, Seaborn

Role Overview
We are seeking a highly experienced Data Scientist Lead with 12+ years of expertise in advanced analytics, machine learning, and data-driven decision-making. The ideal candidate will lead the data science practice, drive innovation, and build scalable AI/ML solutions that deliver business value across the organization.

Key Responsibilities
• Lead the design and implementation of advanced analytics, machine learning, and AI solutions
• Define and execute the data science strategy and roadmap
• Develop and deploy predictive models, forecasting solutions, and optimization algorithms
• Collaborate with business stakeholders to identify opportunities and translate them into data science solutions
• Lead end-to-end model lifecycle (data collection, feature engineering, training, validation, deployment, monitoring)
• Drive adoption of data-driven decision-making across business units
• Build and mentor a team of data scientists and analysts
• Ensure best practices in model governance, explainability, and ethical AI




• Work closely with data engineering teams to build scalable data pipelines and feature stores
• Implement MLOps frameworks for model deployment and monitoring
• Evaluate and adopt new AI/ML tools, frameworks, and technologies
• Present insights and recommendations to senior leadership and stakeholders

Required Skills & Qualifications
Core Data Science Expertise
Strong experience in:
• Machine Learning (Supervised & Unsupervised)
• Statistical modeling and hypothesis testing
• Predictive analytics and forecasting
Hands-on experience with:
• Python (mandatory): Pandas, NumPy, Scikit-learn, TensorFlow / PyTorch
• R / SAS (optional but preferred)
Advanced Analytics & AI
Experience with:
• Deep learning (CNN, NLP models, etc.) – good to have
• Time series forecasting and optimization techniques
Strong knowledge of:
• Feature engineering and model evaluation metrics
Big Data & Cloud
Experience working with:
• Big data frameworks (Spark / Hadoop)
Hands-on experience with cloud platforms:
• Azure / AWS / GCP
Familiarity with:
• Databricks / ML platforms / AutoML tools
Data Engineering & Integration
Solid understanding of:
• Data pipelines, ETL/ELT processes
• Data warehousing concepts
• Ability to work with structured and unstructured data




MLOps & Deployment
Experience in:
• Model deployment using APIs, containers (Docker), Kubernetes
• CI/CD pipelines for ML workflows
Knowledge of:
• Model monitoring, drift detection, and retraining strategies
Data Visualization & Communication
Experience with:
• Power BI / Tableau / Python visualization libraries (Matplotlib, Seaborn)
Strong ability to translate complex insights into business-friendly narratives
Leadership & Management Skills
Proven experience in leading data science teams and projects
• Ability to define analytics strategy and drive execution
• Strong stakeholder engagement and business alignment skills
• Experience in mentoring and building high-performing teams
Soft Skills
• Strong analytical and critical thinking ability
• Excellent communication and presentation skills
• Ability to influence decision-making at leadership levels
• Problem-solving mindset with innovative thinking

Education
Bachelor’s or Master’s degree in Computer Science, Data Science, Statistics, Mathematics, or related field
PhD (preferred but not mandatory)

Preferred Qualifications
• Experience in enterprise-scale AI/ML implementations
• Exposure to domain-specific analytics (Finance, Retail, Telecom, Healthcare, etc.)
• Certifications in:
• Machine Learning / Data Science
• Cloud platforms (Azure/AWS/GCP)

Why Join Us
• Opportunity to lead enterprise-wide AI and data science initiatives
• Work on cutting-edge machine learning and advanced analytics projects
• Drive innovation and shape the data science strategy

📌 Data Scientist Lead (Noida)
🏢 HCL Technologies
📍 Noida