Consultant/Senior Consultant - Data Science - Manufacturing Industry

Consultant/Sr. Consultant Data Science

-. 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 (preferred) , 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

Experience :

- Total experience of 4-8 years

- Industry Experience especially in Manufacturing Function in a Building Material Industry, Manufacturing, Process , Pharma or Automotive

- 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, Spark, etc.) to manipulate data and draw insights from large data sets

- Hands on exp with Spark SQL/ Spark MLlib/Spark Streaming/Spark GraphX

- 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, Keras, PyTorch or TensorFlow

- Familiarity with business intelligence tools (e.g. Qlikview) and data frameworks (e.g. Hadoop) will be an added advantage