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 60 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 specialist
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
