Lead Data Scientist

2 weeks ago

Pune, Maharashtra, India Thermax Limited Full time

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.

(ref:hirist.tech)

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