Data Science Manager

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