Senior Data Scientist - Manufacturing Process - Enterprise Project (7-10 yrs)

A global leader in innovative and sustainable building solutions is looking for you. So, we are excited to share a job opening for Data Scientist with you for our client.

Experience: 7+ Years

Job Location: Remote (Pan India)

The Opportunity at a glance:

Data Science will be part of the Group's Global Advanced Analytics CoE and will play a key role in enabling our Businesses for Insights Driven Operations and Decision making - leveraging cutting edge Analytics tools and techniques

Your Role & Responsibilities:

Designation: Manager - Data Science

Role: Data Scientist (Individual Contributor initially, with potential to move into a People Management role with strong performance)

Reporting to: AVP or Head of Advanced Analytics

Responsibilities:

- Work with Business / Domain SMEs, understand pain and opportunity areas and create analytical models to identify patterns and predict outcomes of key business processes

- Identify the appropriate modeling technique(s) and use Machine Learning and Deep Learning Algorithms to develop self-correcting models and algorithms, validate results from the business perspective and identify levers to improve outcomes

- Collaborate with Product Development teams to industrialize AI / ML models and conduct rapid and iterative prototyping of minimum viable solutions

- Test hypothesis on raw datasets and build meaningful and conclusive insights to identify new opportunity areas

- Work on all aspects of data including data acquisition, data exploration, feature engineering, building and optimizing models etc.

- Develop and deploy Gen AI Solutions

- Design full stack ML solutions in a distributed computing environment -AWS (preferred) and GCP. If needed develop ML solutions to be deployed on the edge (like actuators in plants) or mobiles

Education / Qualification:

- Masters/ Bachelors in Computer Science, Engineering or relevant STEM fields

- Graduate degree in Data Science or other quantitative field is preferred

- Strong mathematics skills (e.g. statistics, algebra)

- Certification in Cloud Analytics Platforms - AWS preferred followed by GCP

Your Experience:

- Total experience of 7-10years (relevant Analytics experience atleast ~ 7 years)

- Industry Experience & knowledge especially in Manufacturing/ Operations Functions in a Building Material Industry, Manufacturing, Process or Pharma preferred

- Handson experience in statistical and data science techniques

- Knowledge and experience in developing and deploying Gen AI Solutions

Required skills:

- 7+ years of handson experience in advanced Machine Learning & Deep Learning techniques and algorithms such as Decision Trees, Random Forests, SVMs, Regression, Clustering, Neural Networks, CNNs, RNNs, LSTMs, Transformers, etc.

- 5+ years of experience in experience in statistical computer languages (Python, PySpark etc.) to manipulate data and draw insights from large data sets

- 5+ years of experience in Cloud platforms like AWS with specific experience of leveraging AWS services and deploying AI / ML models on these platforms

- Experience in DL frameworks such as TensorFlow, Keras or PyTorch

- Familiarity with business intelligence tools (e.g. Qlikview) and data frameworks will be an added advantage

In case you find this position suitable then kindly apply with your updated CV with the below details:

1. Current CTC
2. Expected CTC
3. Notice Period
4. Current Location
5. Years of experience in Data Science
6. Captive unit / Product based companies
7. Are you doing Enterprise project in Data Science or Simulation and Testing project?
8. Years of experience in
a) Advance Machine Learning
b) Deep Learning Techniques and Algorithms
c) AI
9. Years of experience in Statistical Computer languages
a) Python
b) Pyspark
10. Years of experience in:
a) Big Data
b) AWS
c) GCP
d) Statistical Modelling
f) Are you currently working on all these
11. Currently working as an Individual Contributor: Yes/No
12. Discuss a business challenge that you have solved. Preferably Supply chain or Operations related.
13. Which Data Science techniques have you applied for solving the above business problem.
14. 3-line summary of the overall relevant experience (Skills, Kind of projects, Industry, Product based exp)

Tina Sapra
HR Central