Data Science Manager

Location:

Navi Mumbai, MH, IN, 400708 Navi Mumbai, MH, IN, 400708

Requisition ID: 10660

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 60,000-strong global team spread across 70 markets and four industry segments, we are committed to shaping a greener, smarter and healthier world. We at Holcim believe that logistics performance is managed best locally at the country level and supported by corporate logistics. We envision to create a digitized supply chain managing the group’s logistics performance in real-time and it is our aim to establish a true cost to serve model with decisions based on data to support reducing cost and business growth by improving customer service and achieving zero harm.

Experience: 8+ Years

Job Location : WFH/Remote

Education : B.Tech / M.Tech in Computer Science / Mathematics / Signal Processing or related fields from one of the premier Institutes (IITs/NITs/BITS)

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)

Job 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
  
  
  

Experience Required:

• 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 Solution
  
  
  

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
  
  
  

Leadership & Soft skills:

• Lead by example on values and culture.
• Open-minded, collaborative and an effective team player.
• Ability to work in a multicultural and diverse team.
• Driven for success and aspiring to a culture of service excellence, always putting the customer, our people and our business at the center of everything he/she does.
• Ability to deal with ambiguity.
• Ability to communicate openly and effectively with many diverse stakeholders, with external vendors and auditors, and with staff.
• Ability to work proactively and under pressure considering the criticality required to ensure the right quality of service for the business.
  
  
  

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