DG-Manager Data Scientist
Hyderabad, India
3d ago


  • Support advanced analytical and data mining efforts which could include but not limited to clustering, segmentation, logistic and multivariate regression, decision / CART trees, neural networks, time-series analysis, sentiment analysis, topic modeling, random forests, and Bayesian analysis
  • The scope of work includes Forecast, Prediction Models, Outlier Reporting, Payment Integrity violation identification, Adhoc analysis
  • Implementation of Supervised and Unsupervised model development techniques
  • Work with Data engineers to supervise and help institutionalize models and dashboards for the Analytics team of leading Healthcare client
  • Develops ML models using identified features and packages
  • Responsible for maintenance and performance monitoring of the production environment for the Advanced Analytics team
  • Manage the design of complex and large-scale datasets to be used for statistical modeling and data mining.
  • Slice and dice through the database and come up with actionable analytical insights
  • Work with key stakeholders to generate and test hypotheses
  • Conduct explanatory data analysis and prepare data sources to be analyzed.
  • Qualifications we seek in you!

    Minimum qualifications

  • Bachelors or master's degree with a specialization in statistics, applied mathematics, economics, finance, computer science or Information systems / science;
  • Preference is given to candidates with demonstrated academic achievement in core subjects and proficiency in quantitative subject matter (Advanced Statistics coursework, Predictive Modeling projects).

    Familiarity with PBM or Healthcare industry.

  • Proven Healthcare domain experience
  • Facility with one or more quantitative data analysis languages such as R, SciPy, NumPy, SQL, Python, SAS, SPSS
  • Experience with relational database management systems (Oracle, Teradata, SQL Server, DB2)
  • Experience with contemporary big data technologies (Hadoop, HIVE, PIG, MapReduce)
  • Facility with one or more data analysis methods such as regression, decision trees, experimental designs, support vector machines, machine learning, and text mining
  • Proficiency with Microsoft Office Suite
  • Preferred qualifications

  • Work in a dynamic and fast-paced environment without compromising the quality
  • Solid communication skills with exposure to direct client communication is preferred
  • Excellent domain knowledge on US Healthcare is preferred
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