Sr. Data Scientist

Ingersoll Rand is committed to achieving workforce diversity reflective of our communities. We are an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, color, family or medical care leave, gender identity or expression, genetic information, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran status, race, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable laws, regulations and ordinances. 

Job Title 

Senior Data Scientist – Industrial Systems / IoT

Location  

Bangalore

About Us

Ingersoll Rand is a global provider of mission-critical flow creation, life science and industrial solutions. Ingersoll Rand’s Global Engineering & Technology Center (GEC) in Bangalore, A GREAT PLACE TO WORK CERTIFIED WORKPLACE is driven by an ownership mindset and entrepreneurial spirit, has been a beacon of innovation for over 19 years, embodying our purpose to “Make Life Better” for our employees, customers, shareholders and the planet.  

The Engineering & Technology center has expertly supported a diverse range of industrial products, offering deep expertise in core and digital engineering space. By cultivating a sense of inclusion, belonging and respect, and a collaborative culture, the GEC has fostered the most talented and capable engineers, thereby playing a pivotal role in driving Ingersoll Rand’s purpose and strategic focus areas. 

Ecoplant is a fast-growing, award-winning AI-based SaaS company on a mission to create a greener, smarter industrial world. We help industrial plants reduce energy waste, CO₂ emissions, and unplanned downtime by bringing automation, visibility, and intelligence to compressed air systems. Our innovative platform modernizes outdated infrastructure, enabling leading manufacturers to cut costs, optimize performance, and operate more efficiently than ever.

Job & Division Summary: 

We’re building a data-driven SaaS for compressed air / compressors. We develop smart resource-management algorithms for a distributed system, optimizing decisions under real-world constraints (stability, safety, performance). Our work has direct impact: we help customers reduce energy use, cut CO₂ emissions, and save money — driving a greener future. 

You’ll work closely with our Israel-based core team. We need a proactive, high-ownership engineer who pushes things forward. 

Responsibilities

Algorithm Development 

- Design custom mathematical, statistical, and rule-based algorithms for compressor and system behavior 

- Build logic for detecting pressure leaks, efficiency degradation, abnormal cycling, sensor drift/failure, etc. 

- Use system physics, constraints, and empirical data to design robust algorithmic logic 

- Translate findings into structured, interpretable outputs  

Sensor Data & Signal Interpretation 

- Work directly with raw time series sensor data 

- Build physical consistency checks across IOT readings 

- Engineer features grounded in system behavior (not generic ML workflows) 

- Handle noisy, missing, or inconsistent telemetry data 

Engineering & Implementation 

- Implement algorithms in production grade Python with clean architecture 

- Build FastAPI-based services for analysis and data ingestion 

- Write thorough unit tests, edge case tests, and integration tests 

- Collaborate across engineering teams with strong documentation and code reviews

Mandatory Skills

- 4+ years building production Python systems 

- Strong experience with Python backend/API frameworks (FastAPI / Flask) 

- Familiarity with Postgres/Redis, Docker, CI/CD, and scalable service design 

- Strong algorithmic and mathematical problem solving ability 

- Solid data manipulation skills with NumPy / Pandas 

- Ability to design algorithms and models from first principles, not limited to ML packages 

- Strong engineering practices: testing, clean architecture, reliability mindset 

- Clear communication and ability to collaborate with globally distributed teams 

Desired Skills

- M.Sc. in CS, Applied Mathematics, Data Science, or similar 

- Exposure to industrial IoT, thermodynamics, mechanical/industrial systems 

- Experience taking algorithms from prototype to production in real-world environments 

- Experience working with sensor, telemetry, or time series data optimization, heuristics, or control/monitoring systems 

What We Value 

- First principles thinkers who can convert system understanding into algorithms 

- Engineers who balance mathematical depth with clean, production-ready implementation 

- Curiosity and comfort working with complex, real-world sensor data 

What we Offer

• We are all owners of the company! Stock options (Employee Ownership Program) that align your interests with the company's success.   
• Yearly performance-based bonus, rewarding your hard work and dedication.   
• Leave Encashments  
• Maternity/Paternity Leaves 
• Employee Health covered under Medical, Group Term Life & Accident Insurance 
• Employee Assistance Program  
• Employee development with LinkedIn Learning  
• Employee recognition via Awardco  
• Collaborative, multicultural work environment with a team of dedicated professionals, fostering innovation and teamwork.   

Ingersoll Rand Inc. (NYSE:IR), driven by an entrepreneurial spirit and ownership mindset, is dedicated to helping make life better for our employees, customers and communities. Customers lean on us for our technology-driven excellence in mission-critical flow creation and industrial solutions across 40+ respected brands where our products and services excel in the most complex and harsh conditions. Our employees develop customers for life through their daily commitment to expertise, productivity and efficiency. For more information, visit www.IRCO.com.