Senior Data Scientist

Job Description

Senior Data Scientist

Bengaluru, Karnataka

Job Summary

Role: Senior Data Scientist

To lead advanced data science initiatives, develop predictive models, and drive data-driven decision-making by extracting meaningful insights from complex datasets, enabling business growth and innovation.

Key Responsibilities

Key Responsibilities

Forecasting & Modeling

• Design and deploy production-grade forecasting solutions using statistical models (ARIMA, ETS, BSTS) and ML approaches (XGBoost, LightGBM, neural networks)
• Engineer sophisticated features: lag features, rolling statistics, external signals, calendar effects, and domain-specific transformations
• Implement forecast reconciliation and hierarchical aggregation for complex business structures
• Establish rigorous evaluation frameworks: backtesting, time series cross-validation, accuracy metrics, prediction intervals, and drift monitoring

Software Engineering & Infrastructure

• Write production-grade Python and R code with modular architecture, comprehensive testing, error handling, and documentation
• Build and maintain sophisticated R Shiny applications with integrated JavaScript components
• Orchestrate ML pipelines using Kubeflow for automated training, validation, deployment, experiment tracking, and model versioning
• Manage infrastructure as code: Databricks workspaces, Azure resources, CI/CD pipelines (GitHub Actions, Azure DevOps), containerization, and secrets management

Analysis, Debugging & Monitoring

• Troubleshoot complex issues across the full stack: data pipeline failures, model degradation, API errors, and integration problems
• Implement continuous monitoring: automated data quality checks, feature drift detection, performance tracking, and alerting systems
• Conduct root cause analysis of forecast errors, identify data anomalies, validate business logic, and communicate findings clearly

Skill Requirements

Required Qualifications

Technical Foundation

• Education & Experience: Masters or PhD with 3+ years delivering end-to-end data science solutions in production
• Programming: Strong Python, R and SQL proficiency
• Forecasting Expertise: Time series decomposition, seasonality, trend analysis, ensemble methods, probabilistic forecasting, hierarchical reconciliation
• Data Engineering: Databricks/Spark/PySpark, Delta Lake, ETL/ELT design, job orchestration, performance tuning
• KNIME: Building analytical workflows, data preprocessing, model pipelines, and system integration

End-to-End Capabilities

• MLOps: Kubeflow pipeline orchestration, experiment tracking, model registry, automated deployment
• Software Engineering: Git workflows, code reviews, testing frameworks (pytest, testthat), modular design, documentation
• Application Development: Build RESTful APIs and R Shiny applications from scratch; handle authentication, deployment, and optimization
• Cloud Infrastructure: Azure services (Databricks, Blob Storage, Data Factory, Key Vault, Functions), container orchestration, CI/CD

Essential Soft Skills

• Autonomy: Self-starter who can take vague requirements and independently drive projects from concept to production
• Problem-Solving: Systematic debugging across the full stack-from source data to infrastructure
• Business Acumen: Translate business needs into technical solutions; understand when "good enough" beats "perfect"
• Communication: Present technical work clearly to non-technical audiences; influence decisions with data; write comprehensive documentation
• Collaboration: Work effectively with cross-functional teams while maintaining end-to-end ownership

Other Requirements

Preferred (Nice-to-have)

• SAP HANA/BW experience, advanced Kubeflow capabilities, Terraform, Kubernetes, PowerBI/Tableau integration, data governance frameworks, multilingual capability

Apply now

Information at a Glance

Why HCLTech?

At HCLTech, youll supercharge your potential. Youll find your career. And youll find your spark. All at a place that knows that helping its customers stay on top starts by putting its people first.

HCLTech is a global technology company, home to more than 223,000 people across 60 countries, delivering industry-leading capabilities centered around digital, engineering, cloud and AI, powered by a broad portfolio of technology services and products. We work with clients across all major verticals, providing industry solutions for Financial Services, Manufacturing, Life Sciences and Healthcare, Technology and Services, Telecom and Media, Retail and CPG, and Public Services. Consolidated revenues as of 12 months ending June 2026 totaled $14.8 billion.