Job Purpose:
In this specialized role, you will leverage your expertise in machine learning and statistics to derive valuable insights from data. Your role will include developing predictive models, interpreting data and working closely with out ML engineers to ensure the effective deployment and functioning of these models.
Key / Primary Responsibilities:
Proficiency in Python or R, and experience with data science libraries like pandas, NumPy, and Scikit-Learn, TensorFlow, PyTorch, or Keras.
Strong understanding of machine learning algorithms and statistical modelling.
Familiarity with Natural Language Processing (NLP) libraries and frameworks such as NLTK, SpaCy, or Genism. Experience with transformer models (BERT, GPT, etc.) can be a plus.
Experience with text analytics techniques such as topic modelling, sentiment analysis, text classification, etc.
Understanding of SQL and NoSQL databases.
Familiarity with data visualization tools like Matplotlib, Seaborn, or Tableau.
Secondary Responsibilities:
Should have been part of multiple data analysis projects, ideally with a significant focus on text analytics.
Experience in building, validating, and deploying predictive models based on text data.
Experience in handling large text datasets, cleaning, and processing text data for machine learning tasks.
Key Success Metrics:
Ensure timely deliverables. Spot Training Infrastructure fixes. Lead technical aspects of the projects. Error free deliverables.

Senior Data Scientist