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Senior Data Scientist

1 month ago


India Holcim Global Digital Hub Full time

Job Title : Data Science


Experience: 6 -8yrs


Job Location : Remote


Education:

Education / Qualification

  • BE / B. Tech in Computer Science, Engineering or relevant field
  • 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 Data Scientist will be part of Global Digital Hub and will play a key role in enabling business for Data Driven Operations and Decision making in Agile and Product-centric IT environment.

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 modelling technique 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.
  • Design full stack ML solutions in a distributed computing environment including Cloud Platforms like AWS and GCP. If needed develop ML solutions to be deployed on the edge (like actuators in plants) or mobiles


Job description:Experience

  • Total experience of 5-8 years
  • Industry Experience especially in Manufacturing Function in a Building Material Industry, Manufacturing, Process or Pharma
  • Knowledge and experience in statistical and data mining techniques: Regression, Boosting, Text Mining, Social Media Analysis, etc.
  • 5+ years of 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.
  • 5+ years of experience in experience in statistical computer languages (Python, R, SQL, etc.) to manipulate data and draw insights from large data sets
  • 3+ years of experience in Big Data cloud platforms like AWS and GCP, Data Lakes, and Data Warehouses with specific experience of leveraging AWS / GCP 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 (e.g. Hadoop) will be an added advantage