Senior Data Scientist - Machine Learning

Our client is a global specialty materials company committed to enhancing the quality of life through innovative products and solutions, prioritizing safety and sustainability. With a focus on key sectors such as transportation, building and construction, and consumables, it leverages cutting-edge technology platforms, fosters deep customer engagement, and drives differentiated application development to maintain its leading positions in these markets. As a globally inclusive and diverse company, they have employed approximately 14,000 people around the world and serves customers in more than 100 countries.

Responsibilities:

• Lead the design, development, and deployment of machine learning models using Python for applications including process optimization, predictive analytics, demand forecasting, computer vision, and decision support systems
• Network across manufacturing, R&D, commercial, and business functions to identify and collaboratively execute on high-impact challenges solvable through machine learning techniques
• Build production-ready ML solutions within enterprise platforms (Databricks, Azure ML) including model training, endpoint deployment, and monitoring
• Develop and maintain scalable, modular, well-documented code following MLOps best practices including version control, logging/metadata standards, and CI/CD principles
• Lead code reviews, architectural discussions, and knowledge sharing to maintain high quality, production-ready deliverables across the team
• Collaborate with domain experts and stakeholders across a wide variety of domains to understand needs, integrate ML solutions into workflows, and deliver measurable business value
• Communicate complex machine learning methodology, results, and business impact clearly to technical and non-technical audiences through presentations, documentation, and visualizations
• Stay current with advancements in machine learning, and apply them to solve business challenges
• Mentor and provide technical guidance to data scientists, helping to grow the team's capabilities in Hyderabad
• Support ML governance processes including architecture and methodology reviews, risk assessments, and compliance with enterprise standards
• Lead project planning and execution, managing timelines, resources, and stakeholder expectations

Requirements:

• Master's or Ph.D. in a relevant field such as Data Science, Statistics, Mathematics, Computer Science, Operations Research, or a domain-focused field (Engineering, Chemistry, Economics, Finance, etc.)
• 5-8+ years of experience in data science, machine learning, or a related field with demonstrated impact
• Strong foundation in statistical and machine learning theory with proven ability to select, apply, and evaluate appropriate techniques for complex, real-world problems
• Extensive hands-on experience building predictive models and deploying them to production environments using Python
• Proficiency with modern ML frameworks (scikit-learn, XGBoost/CatBoost, TensorFlow/PyTorch) and data manipulation libraries (pandas, polars, numpy)
• Experience with solution architecting and design for ML systems
• Hands-on experience with cloud platforms such as Azure and/or Databricks for deploying and managing ML models and solutions
• Experience with version control (Git), collaborative development, and code review processes
•  Strong written and oral communication skills with ability to present technical concepts and results to diverse audiences from technical teams to business leadership
• History of project leadership and driving initiatives from conception to production
• Strong problem-solving skills and the ability to work independently as well as lead and mentor team members