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!
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
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