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- അനുഭവം
- ഏതെങ്കിലും
- ശമ്പളം
- —
- ഓപ്പണിംഗുകൾ
- 1
- പോസ്റ്റ് ചെയ്തു
- 1 ആഴ്ച മുമ്പ്
- Work mode
- ഓഫീസിൽ
- വിദ്യാഭ്യാസം
- Advanced degree in a quantitative field
- Eligibility
- Candidates with an advanced quantitative degree and the technical skills listed above can apply. This role is intended for professionals who can work independently, collaborate across teams, and contribute to research-led data science problem solving.
- Resume
- Required to apply
Where you'll work
ജോലി വിവരണം
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.