Job Facts

Job function: Data Scientist
Location: Gurgaon
Division: Pharma
Schedule: Full-time
Job type: Regular Employee
Job level: Data Scientist


  • Lead the team and provide technical expertise on all phases of model development (EDA, Hypothesis, Feature Creation, Dimension reduction, Data set clean-up, Training models, Model selection, Validation and Deployment)
  • Lead discussions during the solution design phase

Skills and Expertise

  • Strong understanding of data structures and algorithms
  • Expertise in at-least one statistical programming language R / Python
  • Thorough mathematical knowledge of correlation/causation, classification, recommenders, probability, stochastic processes, NLP, and how to implement them to a business problem
  • Working knowledge of Relational SQL and NoSQL databases, including Postgres, Redshift and MongoDB
  • Familiarity with NLP, Sentiment analysis, text mining, data scraping solutions
  • Comprehensive knowledge of open source tools & cloud platforms (e.g.  AWS and Azure)  and use of tools such as Athena, Sagemaker and machine learning libraries
  • Exposure to big data processing technologies (e.g. Spark, MapReduce) and visualization tools (e.g. Tableau, Power BI, Redash, d3js) is desirable
  • Ability to quickly pick up new programming languages, technologies, and frameworks; work in a start-up environment with a do-it-yourself attitude
  • Expected to gain business understanding in healthcare domain in order to come up with relevant analytics use cases. (e.g. HEOR / RWE / Survival modelling)
  • Excellent verbal and written communication

Educational Qualification

  • Bachelors / Masters in Computer Science or related subjects from a reputed institution

Typical Experience

  • At least 7 years of industry experience in developing data science models and solutions. Building data science-based products is an advantage.
  • Experience in statistical & machine learning methods (logistic regression, SVM, decision tree, random forest, neural network), Regression (linear regression, decision tree, random forest, neural network), Classical optimization (gradient descent etc.)
  • Experience in handling healthcare data (Claims, Trials, RWE) is desired.


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