Senior Data Scientist

Job Title: Senior Data Scientist

Industry: Manufacturing (Steel/Metal Industry) or similar Industry.

Location: Pune

Job Type: Full-Time

About TVARIT

TVARIT GmbH specializes in developing and delivering cutting-edge artificial intelligence (AI) solutions for the metal industry, including steel, aluminum, copper, cast iron, and more. Our software products empower customers to make intelligent, data-driven decisions, driving advancements in Predictive Quality (PsQ), Predictive Maintenance (PdM), and Energy Consumption Reduction (PsE), etc.

With a strong portfolio of renowned reference customers, state-of-the-art technology, a talented research team from prestigious universities, and recognition through esteemed awards such as the EU Horizon 2020 AI Prize, TVARIT is recognized as one of the most innovative AI companies in Germany and Europe.

We are looking for a self-motivated person with a positive "can-do" attitude and excellent oral and written communication skills in English.

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

• Bachelors 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.