Role: Data Scientist
Client: Global Biomass technology company spun out of MIT They have been recognized and supported by multiple awards globally.
- Work at the frontiers of deep-tech and hardware innovation that fights for climate justice, with an early-stage start-up
- World\'s most awarded biomass technology company spun out of MIT
Location: Delhi/ NCR, Hybrid work
Role :
- We are seeking an experienced Data Scientist with a strong background in applying ML (machine learning) techniques towards hardware product development.
. You\'ll be tasked with collecting, cleaning, and analyzing complex reaction data from a wide array of sources, including sensors, video feeds, lab analyses, and literature.
- Your role will encompass the development of both statistical and machine learning models to solve challenges such as predictive maintenance, deriving physical insights, and real-time reaction optimization.
Responsibilities
1. Data Collection, Cleaning & Management
2. Predictive Modelling
3. Real-Time Reactor Automation
4. Cross-functional Collaboration
5. Data Visualization.
Skills and Experience
1. Education: Master\'s degree or Ph.D. in Data Science, Computer Science, Statistics, Applied Mathematics, Mechanical, Chemical Engineering, or a related field.
2. Experience:
At least 3 years of relevant work ex in data science, with a preference for prior experience with sensors and instrumentation (needed to collect data needed for machine learning) strongly preferred, especially in a hardware product development context (e.g. Alexa, smart air conditioning or laundry machines, electric vehicles). Some sensors include: cameras, thermocouples, scales, etc.
3. Technical Skills: Proficiency in Python or R, and experience with data science libraries and frameworks (such as TensorFlow, PyTorch, or SciKit Learn). Familiarity with data wrangling techniques is a plus, as is experience with Digital Twin technology. Experience working with SCADA systems is highly desirable.
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