Data Scientist

Key Skills

Java Programming, Python Programming, C++, C Programming, SQL, Apache Hadoop, Scala Programming, Machine learning techniques, Data science techniques, PyTorch, TensorFlow, MapReduce, R Programming

Job Description

At least 9 – 12 years of experience in the industry as well as solidly collaborative interpersonals, an Advisor Data Scientist knows, appropriately selects and deftly uses the tools of the craft—data ingesting, data cleansing, feature engineering, data filtering and aggregating, statistical

estimation and hypothesis testing, machine learning and iterative development and continuous production integration and deployment—to support GWT’s Medicaid clients, by wrangling healthcare and other client data assets and then analyzing them iteratively, extensibly, and

innovatively to surface complex, impactfully actionable insights. Additionally, an Advisor Data Scientist mentors less experienced team members to develop their craft. To understand costs and benefits in defining programmatic data science for GWT’s Medicaid clients, this position

requires solid prior experience with healthcare data; and a completed course of post-graduate training in a healthcare discipline is a very strong plus.

Job Description

• Expert knowledge of SQL queries to process large amounts of data in a set-based fashion
• Thorough understanding of various SQL windowing functions through regular use
• Solid understanding of indexing, stored procedures, materialized views, etc.
• Has worked frequently with datasets at least 100M – 1B rows in size, some of them ugly/messy
• Solid Python including syntax, ML libraries, & object-oriented designs
• Solid knowledge of Repeated Measures / Time Series / Mixed Level Random Effects Statistical Estimation, Machine Learning, Overfit, False Discovery, etc.
• Explainable Machine Learning, Artificial Intelligence, Neural Network Experience 
• Solid experience with the use of Dev\Sec\Ops procedures tools for iterative development and CI/CD
• Main-stream BI dashboarding tools such as PowerBI, Tableau, SAS, etc.
• Performance Optimization for Data Science development and in production
• Knowledge of Semi-Structured and UnStructured data, schema-on-read, parsers, NLP packages
• Solid Experience Deriving Insights from Healthcare data
• Experience doing Data Science leveraging the elasticity in a major Cloud environment
• Comfort-level presenting to business stakeholders and executives
• Excellent written and verbal communication skills
• A track-record of effectively mentoring other team members

Preferred Skills:

• Experience with pharmaceutical data analytics
• Has worked with datasets 10+B rows in size, many of them ugly/messy
• Working knowledge of stacks and CQRS data structures, and state machines that use them
• Use of a Massively Parallel Database Environment
• Understands how to optimize data models for MPP with distribution keys and schemes
• Has used DataBricks for Data Science - knowledge of Scala a plus
• Experience working toward replicable causal inference in repurposed data
• Actuarial training and experience
• Medical Training / Experience in Practice
• Performed Data Science with Healthcare data
• Functional Programming