Holcim Global Digital Hub - Data Science Manager (12-15 yrs)

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.

- Hands-on experience in statistical and data science techniques.

- Knowledge and experience in developing and deploying Gen AI Solutions.

Required Skills :

- 8+ years of hands-on 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.