Lead Data Scientist

Thermax Onsite Energy Solutions Limited (TOESL)

8 - 10 years

0 Lacs

Pune Maharashtra India

Posted:1 day ago| Platform:

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Skills Required

data technology reporting engineering statistics strategies design learning iot ml pipeline analytics model reliability efficiency support integration development python manufacturing algorithms analysis programming mongodb mysql numpy tableau power azure aws regression clustering

Work Mode

On-site

Job Type

Full Time

Job Description

Job Details:

Position:

Lead Data Scientist

Division & Department:

Enabling Functions_Business Technology Group (BTG)

Reporting To:

Commercial and Customer Experience Products Leader

Educational Qualifications:

Degree in Data Science, Computer Science, Engineering, Statistics, or related field with 8 to 10 years of relevant work Experience.

Role And Responsibilities

Collaborate with business stakeholders and product managers to develop data science strategies tailored to business and customer needs
Design, build, and deploy scalable, production-ready machine learning and statistical models focused on real-time IoT data streams and predictive analytics.
Develop end-to-end ML pipeline encompassing Data Engineering, Data Analytics, Feature Engineering, model building, and validation.
Leverage large volumes of industrial sensor and operational data to develop insights that enhance equipment reliability, operational efficiency, and customer satisfaction.
Oversee data quality, model performance, and continuous improvements in data analytics processes within the IoT platform.
Guide and support process engineers in modeling ML pipelines, ensuring seamless integration into production environments
Lead end-to-end product feature development using Python and model development, including. MLOps

Critical Competencies

Proven experience leading data science projects, preferably in Industrial IoT, manufacturing, or related domains.
Strong proficiency in machine learning algorithms, statistical modelling, and data analysis techniques applied to sensor or time-series data.
Programming Languages/Databases - MongoDB, MySQL, Python
Packages- Pandas, Numpy, SkLearn, Scikit-learn
Analytical Platform - Tableau or Power BI
Cloud Platforms - Azure or AWS, or Databricks
Must have a deeper understanding of Regression, Classification, and Clustering Algorithms
Experience in building Machine Learning and Deep Learning end-to-end pipelines on cloud (AWS/Azure)
Ability to lead initiatives independently, think strategically, and communicate clearly with both technical and non-technical teams.
Demonstrate customer focus, willingness to learn, and adapt to new technologies and unique challenges

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