Data Science Manager
7 days ago
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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