Senior Data Scientist Lead

Designation: Manager Data Science

Role: Senior Data Scientist (Individual Contributor)

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

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 preferred followed by GCP/Azure

Your Experience

• Total experience of 8+ years
• Industry Experience especially in Manufacturing Function in a Building Material Industry, Manufacturing, Process or Pharma preferred
• Knowledge and experience in statistical and data mining techniques: Regression, Boosting, Text Mining, Social Media Analysis, etc.

Required skills:

• 6+ 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.
• 6+ years of experience in experience in statistical computer languages (Python, R, SQL, etc.) to manipulate data and draw insights from large data sets
• 5+ years of experience in Big Data cloud platforms like AWS, Data Lakes, and Data Warehouses with specific experience of leveraging AWS 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