Overview
Job Title: Senior Data Scientist
Industry: Manufacturing (Steel/Metal Industry) or similar Industry.
Location: Pune
Job Type: Full-Time
About the Role
We are looking for a highly skilled and motivated Senior Data Scientist who is passionate about solving complex data problems and developing cutting-edge solutions. This role requires someone with a strong technical background in data science, with full-stack development exposure from requirement gathering to solution deployment. The ideal candidate will be comfortable working as an individual contributor and as an active team member.
Key Responsibilities
· Build, optimize, and deploy scalable data models and machine learning pipelines.
· Collaborate with cross-functional teams to design, develop, and deploy data-driven solutions.
· Understands business problems and processes based on direct conversations with customers, can see the big picture, and translate that into specific solutions.
· Conduct exploratory data analysis and feature engineering for large datasets.
· Write clean, efficient, and maintainable Python code for data processing and analysis.
· Develop APIs and integrate machine learning models into production systems.
· Work on cloud platforms (AWS, Azure, or GCP) to deploy and monitor models.
· Actively participate in team discussions, code reviews, and knowledge sharing sessions.
· Manage client discussions actively and Present findings and recommendations to stakeholders in a clear and compelling manner.
Qualifications
· Bachelor’s or master's degree in Metallurgy, mechanical, or a related field from IIT, NIT or top university.
· 5+ years of experience in data science, machine learning.
· Experience in metal industry, manufacturing industry or similar industry exposure
Technical Skills
· Strong Python programming skills with experience in libraries like NumPy, Pandas, Scikit-learn, TensorFlow, or PyTorch.
· Full-stack development experience (e.g., backend development, REST APIs, front-end integration).
· Proficiency in cloud platforms such as AWS, Azure, or GCP.
· Hands-on experience with SQL and NoSQL databases.
· Understanding of MLOps principles and tools for model versioning, monitoring, and deployment
· Familiarity with Kubernetes core concepts like pods, deployments, services, and ingress
· Knowledge of deep learning architectures and techniques for computer vision, NLP, and generative AI
· Excellent problem-solving and analytical skills.
· Strong communication skills and the ability to collaborate in a team environment.
· Ability to work in a fast-paced, agile environment and adapt to changing priorities.
Job Type: Full-time
Pay: ₹692,640.23 - ₹2,218,963.00 per year
Schedule:
- Day shift
Ability to commute/relocate:
- Pune, Maharashtra: Reliably commute or planning to relocate before starting work (Preferred)
Experience:
- metal industry, manufacturing industry: 5 years (Preferred)
- cloud platforms (AWS, Azure, or GCP): 4 years (Preferred)
- data science, machine learning: 5 years (Preferred)
Location:
- Pune, Maharashtra (Preferred)
Work Location: In person