JOB OBJECTIVE :

Sr. Data Scientist with 10+ years of experience in developing scalable Machine Learning models and their operationalization.

KEY RESPONSIBILITIES :

- Model development using Python/PySpark libraries.

- Experience with Databricks or Dataiku DSS.

- Strong experience on Spark with Scala/Python/Java.

- Proficiency in building/training/evaluating state of the art machine learning models and deployment.

- Proficiency in Statistical and Probabilistic methods (SVM, Decision-Trees, Bagging, Boosting, Clustering).

- Proficiency in Core NLP techniques (Text Classification, NER, Topic Modeling, Sentiment Analysis).

- Hands-on experience in Python data-science packages (NumPy, Pandas, Sklearn, Seaborn, PyCaret, Matplotlib).

- Proficiency in Machine Learning frameworks (TensorFlow, NLTK, PyTorch, Keras, SparkML, OpenAI).

- Experience with cloud platforms (AWS, Azure or GCP).

- Experience in business development initiatives (RFP/RFI responses, proposals).

- Ability to mentor and guide mid to large sized teams.

ELIGIBILITY CRITERIA :

- B-Tech/BE or Master's degree in Computer Science, Machine Learning, Statistics, or related discipline from Tier 1-2 college.

- 10+ years of proven experience in Advanced Analytics or Machine Learning.

- Excellent communication and analytical skills.