IN EmploymentAlert | Holcim Global Digital Hub | Data Science Manager
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Job Title


Holcim Global Digital Hub | Data Science Manager


Company : Holcim Global Digital Hub


Location : Aurangabad, Maharashtra


Created : 2025-01-10


Job Type : Full Time


Job Description

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 GloballyJob Title : Data Science ManagerJob Location : Remote/Work from homeEducation:Education / QualificationBE / B. Tech in Computer Science, Engineering or relevant STEM fieldsGraduate degree in Data Science or other quantitative field is preferredStrong mathematics skills (e.g. statistics, algebra)Certification in Cloud Analytics Platforms – AWS mustThe Manager- Data Science will be part of the Group’s Global Advanced Analytics CoE and willplay a key role in enabling our Businesses for Insights Driven Operations and Decision making –leveraging cutting edge Analytics tools and techniquesData Scientist (Individual Contributor initially, with potential to move into a PeopleManagement role with strong performance) Responsibilities :Work with Business / Domain SMEs, understand pain and opportunity areas and createanalytical models to identify patterns and predict outcomes of key business processesIdentify the appropriate modeling technique(s) and use Machine Learning and DeepLearning Algorithms to develop self-correcting models and algorithms, validate resultsfrom the business perspective and identify levers to improve outcomesCollaborate with Product Development teams to industrialize AI / ML models andconduct rapid and iterative prototyping of minimum viable solutionsTest hypothesis on raw datasets and build meaningful and conclusive insights to identifynew 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 SolutionsDesign 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 mobilesYour Experience:Total experience of 12-15 years (relevant Analytics experience atleast ~ 8 years)Industry Experience and knowledge especially in Manufacturing/ Operations Functions in aBuilding Material Industry, Manufacturing, Process or Pharma preferredHandson experience in statistical and data sceience techniquesKnowledge and experience in developing and deploying Gen AI SolutionsRequired Skills:8+ years of handson experience in advanced Machine Learning & Deep Learningtechniques 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, PySparketc.) to manipulate data and draw insights from large data sets5+ years of experience in Cloud platforms like AWS with specific experience of leveragingAWS services and deploying AI / ML models on these platformsExperience in DL frameworks such as TensorFlow, Keras or PyTorchFamiliarity with business intelligence tools (e.g. Qlikview) and data frameworks will be anadded advantage