Data Scientist

Axtria is looking for professionals who can join in Data Science team,

Necessary Skills–

3+ years of experience of model development using Python/PySpark libraries. Development on Databricks or Dataiku DSS (Data Science Studio) environment would be a plus

Strong experience on Spark with Scala/Python/Java

Strong proficiency in building/training/evaluating state of the art machine learning models and its deployment.

Proficiency in Statistical and Probabilistic methods such as SVM, Decision-Trees, Bagging and Boosting Techniques, Clustering

Proficiency in Core NLP techniques like Text Classification, Named Entity Recognition (NER), Topic Modeling, Sentiment Analysis, etc. Understanding of Generative AI / Large Language Models / Transformers would be a plus.

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

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

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

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

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

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.

Required Experience:

Real-world experience in implementing machine learning/statistical/econometric models/advanced algorithms (ideally, 3+ years of experience involving machine learning)

Breadth of machine learning domain knowledge

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

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

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