Senior Associate

Position Summary

Data Scientist with good hands-on experience of 3+ years in developing state of the art and scalable Machine Learning models and their operationalization, leveraging off-the-shelf workbench production. 

Job Responsibilities

1. Hands on experience in Python data-science and math packages such as NumPy, Pandas, Sklearn, Seaborn, PyCaret, Matplotlib


2. Proficiency in Python and common Machine Learning frameworks (TensorFlow, NLTK, Stanford NLP, PyTorch, Ling Pipe, Caffe, Keras, SparkML and OpenAI etc.)


3. Experience of working in large teams and using collaboration tools like GIT, Jira and Confluence


4. Good understanding of any of the cloud platform – AWS, Azure or GCP


5. Understanding of Commercial Pharma landscape and Patient Data / Analytics would be a huge plus


6. Should have an attitude of willingness to learn, accepting the challenging environment and confidence in delivering the results within timelines. Should be inclined towards self motivation and self-driven to find solutions for problems.


7. Should be able to mentor and guide mid to large sized teams under him/her

Education

Work Experience

1. Real-world experience in implementing machine learning/statistical/econometric models/advanced algorithms


2. Breadth of machine learning domain knowledge


3. Experience in application of machine learning algorithms (classification, regression, deep learning, NLP, etc.)


4. Experience with a ML/data-centric programming language (such as Python, Scala, or R) and ML libraries (pandas, numpy, scikit-learn, etc.)


5. Experience with Apache Hadoop / Spark (or equivalent cloud-computing/map-reduce framework)

Behavioural Competencies

Technical Competencies

Skills