Data Scientist

Responsibilities & Skillsets Requirements

Database manipulation & reporting (SQL,Python):

• Capabilities: Good Understanding on Azure data Lake, Azure SQL Database, Data Bricks and Azure SQL Data warehouse.

  Hands on experience on using Python &  SQL in Databricks for data extraction, transformation, and aggregation from multiple file formats for analyzing & transforming the data. Will need to be agile and understand new data sets as they are ingested

• Project Examples:    Cleaning and preparing data for dashboard builds, analyses, and other projects.  Being able to pick up and (when needed) modify existing code, along with creating new code to build datasets.

• PowerBI Developer: Greater than 3 years experience

• Capabilities: Ability to take above blob storage and Databrick tables and further develop them as PowerBI dashboards.

  Experience integrating Microsoft Powerapps, Power BI Dax, and Power Query, and Modeling.

  Strong understanding of Power BI Architecture, deployment, and sharinig mechanisms

  Experience in design and development of ETL using Databricks (PySpark, Python, R) and Informatica. 

  Experience in evaluating business requirements, apply data modeling to  transform client requests into data deliverables.

•  Ability to work across different BU’s, Tech, and with other offshore Data AnalystProject Examples: Create, maintain, and enhance Power-BI Dashboards utilizing mutlipe data sources, including appropriate handling of confidential data.

Data Science, AI/ML Capabilities:

• Capabilities: Experience running simple data science, AI/ML projects such as gradient boosting and random forest to better leverage our wide data sets and build our capabilities

  Experience in strong analytical skills with the ability to collect, organize, analyze, and disseminate significant amounts of information with attention to detail and accuracy.

  Hands-on experience in Analyzing National and Xponent data (TRx, NRx, NBRx , Prescriber Data), APLD, data processing, data normalizations, KPI Computing and creating numerous business KPI’s and visualizing them on  Power BI & other reporting tools for higher leadership and decision makers.

  Experience with linear regression modeling to understand relations and key impact of drivers to overall performance.