IT Data Scientist

Role overview

The IT Data Scientist will work on open-ended research and complex data challenges, using advanced quantitative expertise to design new algorithms and analytical approaches. The role focuses on developing data-driven methods for machinery diagnostics, prognostics, and optimization of complicated systems.

Key responsibilities

• Evaluate emerging technologies related to machinery health diagnostics, prognostics, and model-based optimization of complex systems.
• Bring strong hands-on knowledge of machine learning and population-based meta-heuristic optimization techniques.
• Develop original ideas, define new research directions, and drive technical projects from concept through execution.
• Stay current with advances in the field and actively contribute as a subject matter expert in technical reviews and discussions.
• Use theoretical and engineering knowledge to solve industrial and operational problems.
• Create data-driven algorithms for anomaly detection, failure forecasting, and optimization.
• Work closely with field and product engineering teams to identify important health-monitoring parameters.
• Handle and analyze large multivariate datasets gathered from equipment operations, manufacturing tests, and diagnostic workflows.
• Present ideas, plans, and findings clearly through both spoken and written communication.

Qualifications and requirements

• An advanced degree in a quantitative discipline such as computer science, physics, statistics, or applied mathematics is expected.
• Ability to self-learn new technologies, build prototypes independently, and recommend practical solutions.
• Strong programming ability, preferably in Python.
• Solid grounding in linear algebra, probability, and statistics.
• Good understanding of machine learning and deep learning methods, including GenAI.
• Experience working in Unix/Linux environments and automating tasks with shell scripting.
• Basic awareness of cloud computing concepts and application development.
• Creative problem-solving mindset with the ability to define and solve problems independently.
• Comfortable working collaboratively within cross-functional teams.
• Strong listening, presentation, and communication skills.
• Focused on delivering high-quality results.
• Additional advantage: experience with TensorFlow or PyTorch for computer vision, speech, or natural language processing use cases.
• Additional advantage: exposure to cloud platforms such as Google Cloud Platform or Azure.
• Additional advantage: experience designing or building RESTful APIs.
• Additional advantage: web frontend experience using JavaScript, HTML5, Angular, and backend frameworks such as Django or FastAPI.

Behavioral expectations

• The role calls for creativity, independent thinking, collaboration, active listening, and strong communication.
• A result-oriented and quality-focused working style is important.

Additional information

This is a full-time onsite position based in Coimbatore, Tamil Nadu, India.

No stipend or salary details were provided.