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Eastman Chemical

Specialty chemicals and materials manufacturer

Advanced Data Scientist - Machine Learning

Applied Machine LearningUpdated on Nov 14
Full-timeHyderabad, Telangana, IndiaNo salary listedIn-person

About the Job

Requirements

  • A bachelor's degree in Computer Science, Mathematics, Statistics, or a related field.
  • Five to eight years of experience in data science, machine learning, or a related field with demonstrated impact.
  • A strong foundation in statistical and machine learning theory, with the 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 machine learning frameworks, including scikit-learn, XGBoost, CatBoost, TensorFlow, or PyTorch, and data manipulation libraries, including pandas, polars, and NumPy.
  • Hands-on experience with cloud platforms such as Azure and/or Databricks for deploying and managing machine learning models and solutions.
  • Experience with version control using Git, collaborative development, and code review processes.
  • Strong written and oral communication skills, with the ability to present technical concepts and results to diverse audiences, from technical teams to business leadership.
  • Ability to drive initiatives from conception to production.

Responsibilities

  • Design, develop, and deploy machine learning models using Python for process optimization, predictive analytics, demand forecasting, computer vision, and decision support systems.
  • Network across manufacturing, research and development, commercial, and business functions to identify and collaboratively execute high-impact challenges solvable through machine learning techniques.
  • Build production-ready machine learning solutions within enterprise platforms such as Databricks and 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 and metadata standards, and continuous integration and continuous delivery principles.
  • Participate in code reviews and architectural discussions, applying established design and development practices to deliver high-quality, production-ready solutions.
  • Collaborate with domain experts and stakeholders across a wide variety of domains to understand needs, integrate machine learning solutions into workflows, and deliver measurable business value.
  • Communicate complex machine learning methodology, results, and business impact 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.
  • Support machine learning governance processes, risk assessments, and compliance with enterprise standards.

Desired Qualifications

  • A master's or Ph.D. in a relevant field such as Data Science, Statistics, Mathematics, Computer Science, Operations Research, or a domain-focused field such as Engineering, Chemistry, Economics, or Finance.
  • Domain expertise in one or more areas, including manufacturing processes, chemical or materials engineering, product development, supply chain, commercial analytics, economics, finance, or related technical or business domains.
  • Experience with MLOps platforms such as Databricks, Azure ML, or MLflow, and containerization with Docker.
  • Experience with time-series forecasting, computer vision applications, or hybrid modeling approaches such as physics-informed machine learning or combining domain knowledge with machine learning.
  • Familiarity with Agile development methodologies.
  • Knowledge of data engineering, data warehousing, and SQL.
  • Experience using data science techniques to solve real-world problems across multiple business domains and communicate their value to stakeholders.

About the Company

Eastman Chemical

Specialty chemicals and materials manufacturer

Eastman Chemical Company, which brands itself as Eastman, is a global specialty materials company that develops and manufactures specialty chemicals, polymers, and cellulosic fibers. Its products include copolyesters such as Eastman Tritan and Cristal, Naia cellulosic fibers, Tetrashield protective resin systems, and recycled-content materials like Eastman PET Renew, developed with customers across roughly 13 industries including packaging, consumer goods, transportation, and textiles. A central part of its operations is molecular recycling, which converts hard-to-recycle plastic waste into feedstock for new materials at plants in Kingsport, Tennessee, Longview, Texas, and France. What sets Eastman apart is this circular-economy focus—its molecular recycling capacity and "It's the feedstock" model—paired with a broad specialty portfolio. The goal is to address challenges like climate change and plastic waste while supplying sustainable materials to industry.

Company size
5,001-10,000
Company stage
IPO
Headquarters
Kingsport, TN
Founded
1920

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