LOCATION : Gurgaon, Noida, Bangalore, Pune, Hyderabad

JOB OBJECTIVE : Data Scientist with 3+ years of experience in developing scalable Machine Learning models and their operationalization.

KEY RESPONSIBILITIES :

Tech Stack & Skills :

- Experience in model development using Python/PySpark libraries. Development on Databricks or Dataiku DSS is a plus.

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

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

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

- Proficiency in Core NLP techniques (Text Classification, NER, Topic Modeling, Sentiment Analysis) and experience with LLMs, LSTMs, GRUs, transformers.

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

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

- Experience with collaboration tools like GIT, Jira, and Confluence.

- Understanding of cloud platforms (AWS, Azure, or GCP).

- Understanding of Commercial Pharma landscape and Patient Data/Analytics is a huge plus.

Logical Thinking & Communication :

- Analytical mindset with a systematic approach to problem-solving.

- Ability to communicate ideas clearly across technical and business forums.

ELIGIBILITY CRITERIA :

- B-Tech/BE or Master's degree in Computer Science, Machine Learning, Statistics, Econometrics, or related discipline from Tier 1-2 college with 3+ years of experience in Advanced Analytics or Machine Learning.

BEHAVIORAL COMPETENCY :

- Excellent communication skills and strong analytical skills to solve complex business requirements.

- Customer-focused, problem-solver, and a relentless learner with a drive for results.