Sr. Data Scientist | Hybrid | Chennai | Contract 3-6 months | Full time

Job Summary

A Senior Data Scientist Extraordinaire is an experienced professional with advanced

expertise in data science, combining strong technical skills with strategic thinking and

business understanding. They excel in areas such as data analysis, statistical

modelling, machine learning, and data visualization, while working with large, complex

datasets to extract meaningful insights that support data-driven decision-making.

Beyond technical contributions, they play a key role in designing scalable solutions,

mentoring team members, and collaborating with cross-functional stakeholders. By

translating complex data into actionable business strategies and leveraging modern

tools and technologies, Senior Data Scientists drive innovation, influence

organizational decisions, and deliver sustained business impact.

the organization.

Key Responsibilities

• Lead end-to-end data science projects from problem definition to deployment.
• Design and implement scalable data pipelines and analytics solutions on Azure.
• Develop advanced machine learning, deep learning, and predictive models.
• Build and maintain time-series forecasting models.
• Perform feature engineering, model selection, and optimization.
• Collaborate with business stakeholders to translate requirements into analytical

solutions.

• Ensure data quality, governance, and compliance standards.
• Create impactful visualizations and executive-level insights.
• Implement MLOps and version-control best practices.
• Mentor junior data scientists and data analysts.

Required Skills

• Python and Git
• Machine Learning (Supervised & Unsupervised Learning)
• Deep Learning (PyTorch / TensorFlow)
• Time Series Forecasting (Univariate & Multivariate)
• Statistical Analysis and Hypothesis Testing
• Azure Data Factory and Databricks
• Data Visualization and Storytelling
• Data Governance and Data Quality
• Feature Engineering and Model Optimization

Preferred Skills

• Azure Machine Learning
• MLOps and CI/CD Practices
• Docker and Kubernetes
• Distributed Computing Frameworks
• Real-Time Data Processing
• API Development and Model Deployment
• NLP and Computer Vision
• AWS, Azure, or GCP Certifications

Experience & Qualifications

• Bachelor's or Master's degree in Data Science, Computer Science, Statistics,

Mathematics, Engineering, or a related field.

• 8+ years of experience in Data Science, Machine Learning, or Artificial Intelligence.
• Proven experience in deploying machine learning solutions in production

environments.

• Experience leading data science initiatives and mentoring teams.

Leadership Expectations

• Mentor and guide junior team members.
• Drive innovation and adoption of emerging AI/ML technologies.
• Participate in technical reviews and architecture discussions.
• Present findings and recommendations to senior leadership.

Benefits & Perks

• Competitive Salary and Performance Bonus
• Comprehensive Health Insurance
• Paid Time Off and Parental Leave
• Learning & Development Programs
• Certification Sponsorship
• Flexible Working Arrangements
• Wellness Programs