About Tvarit :

Tvarit GmbH is a European VC-backed Industrial AI startup focused on reducing manufacturing waste by optimizing industrial processes through advanced AI solutions. Tvarits deep-tech helps reduce waste and energy consumption for metal (Die Casting LPDC/HPDC, Steel) and process industries (Food & Beverage, Agrochemicals). Our "TiA" (Tvarit Industrial AI) platform bridges the gap between material science and data science, helping global manufacturers achieve zero-waste production.

Who are we looking for?

We are looking for a Senior Data Scientist who will design and develop data-driven solutions using state-of-the-art methods. You should be someone with strong and proven experience in working on data-driven solutions. If you feel youre enthusiastic about transforming business requirements into insightful data-driven solutions, you are welcome to join our fast-growing team to unlock your best potential.

Job Summary :

- Analyze industrial manufacturing data (machine sensors, PLC systems, production logs, and process data) to identify patterns, inefficiencies, and opportunities for predictive optimization.

- Design and develop AI/ML models for manufacturing applications such as predictive maintenance, quality prediction, anomaly detection, and process optimization.

- Build and deploy scalable machine learning pipelines in Python and integrate them with industrial data platforms and cloud environments such as AWS.

- Work with large-scale time-series data from industrial equipment, IoT devices, and MES/SCADA systems to derive actionable operational insights.

- Develop real-time monitoring dashboards and visualization tools to support plant operations, engineering teams, and production management.

- Collaborate with manufacturing engineers, data engineers, and operations teams to translate shop-floor challenges into AI-driven solutions.

- Implement advanced statistical techniques and deep learning frameworks (PyTorch, Scikit-learn, Pandas, SQL) to build reliable and production-ready industrial analytics solutions.

- Conduct applied research in Industrial AI / Industry 4.0, prototype innovative models, and document findings through technical reports, research publications, and internal knowledge sharing.

Experience :

- 5 - 8 years of professional experience working with manufacturing industries such as foundries, steel plants, or metal casting operations, with exposure to shop-floor production data and industrial processes.

- Hands-on experience with Industry 4.0 / Smart Factory ecosystems, including integration of industrial IoT devices, sensor networks, and data platforms used in modern manufacturing environments.

- Practical exposure to advanced industrial AI applications such as digital twins, predictive maintenance, anomaly detection, and process optimization for improving plant efficiency and equipment reliability.

- Experience working in a SaaS, AI, or deep-tech startup environment, contributing to the development of scalable technology products, rapid prototyping, and deployment of data-driven solutions.

- Experience working with industrial data platforms such as MES, SCADA, or PLC-based systems to collect and analyze real-time

operational data.

- Ability to work closely with engineering, product, and operations teams to convert manufacturing challenges into deployable AI/ML solutions.

Qualification :

- B.Tech / M.Tech / Ph.D. in Computer Science, Artificial Intelligence, Data Science, Electrical Engineering, Mechanical Engineering, Industrial Engineering, Mathematics, or related disciplines.

- Strong academic background in Machine Learning, Artificial Intelligence, Data Analytics, or Industrial Automation systems.

- Additional certifications or research exposure in AI/ML, Industrial IoT, Data Science, or Industry 4.0 technologies will be an advantage.

Benefits and Perks :

- Culture of innovation, creativity, learning, and even failure, we believe in bringing out the best in you.

- Progressive leave policy for effective work-life balance.

- Get mentored by highly qualified internal resource groups and opportunity to avail Industry-driven mentorship program, as we believe in empowering people.

- Multicultural peer groups and supportive workplace policies.

- Work from beaches, hills, mountains, and many more with the yearly workcation program; we believe in mixing elements of vacation and work.

Hiring Process :

- Call with Talent Acquisition Team : After application screening, a first-level screening with the talent acquisition team to understand the candidate's goals and alignment with the job requirements.

- First Round : Technical round 1 to gauge your domain knowledge and functional expertise.

- Second Round : In-depth technical round and discussion about the departmental goals, your role, and expectations.

- Final HR Round : Culture fit round and compensation discussions.

- Offer : Congratulations you made it!

- If this position sparked your interest, apply now to initiate the screening process.