Data Science Manager

7 days ago


India Holcim Global Digital Hub Full time

About Holcim: As the world’s global leader in innovative and sustainable building materials, Holcim is reinventing the way the world builds. Supported by a 70,000-strong global team spread across 70 countries and four industry segments (Cement, Aggregates, Ready-Mix Concret and Solutions & Products), we are committed to shaping a greener, smarter and healthier world. It’s our ambition to lead the industry in reducing carbon emissions and accelerating the transition towards low-carbon constructions globally. To enable and support our business, Holcim have setup the Group’s Center of Excellence for Advanced Analytics and AI – which encompasses Data Science, Data Engineering, Cloud Platforms Engineering and Business Intelligence. The Group CoE supports Holcim’s Businesses, Functions and OpCos Globally



Job Title : Data Science Manager

Job Location : Remote/Work from home


Education:

Education / Qualification

  • BE / B. Tech 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 must


The Manager- 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

Data Scientist (Individual Contributor initially, with potential to move into a People

Management role with strong performance)

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


Your Experience:

  • Total experience of 12-15 years (relevant Analytics experience atleast ~ 8 years)
  • Industry Experience and knowledge especially in Manufacturing/ Operations Functions in a
  • Building Material Industry, Manufacturing, Process or Pharma preferred
  • Handson experience in statistical and data sceience techniques
  • Knowledge and experience in developing and deploying Gen AI Solutions


Required Skills:

  • 8+ 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.

  • 6+ 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



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