Data Scientist II

Role Overview

• Lead and drive cross-functional data science projects from beginning to end, which include building relationships with partner teams, framing and structuring questions, collecting and analyzing data.
• Apply descriptive and predictive analytics to help drive insights and business decisions.
• Apply a diverse set of tactics such as statistics, quantitative reasoning, and machine learning to research and produce insights.
• Work with data engineering and data solutions teams to ensure proper data tracking is set up for features and support debugging and development of new ETL processes.
• Build deep-dive analyses and eventual machine learning models to better forecast risk across the portfolio for our contracts and claims activity.
• Support business operations, finance, quality systems, and other internal teams by building analytics and reporting to understand overall business performance and increase organizational efficiencies.
• Manage tests for specific providers and generate data to build out case studies and messaging strategies.
• Designs experiments, test hypotheses, and build models.
• Conducts data analysis and create moderately complex algorithms.
• Work with Institute stakeholders to identify the business requirements and the expected outcomes.
• Collaborate with business leaders, subject matter experts, and decision makers to develop success criteria and optimize new solutions, features, policies, and models.
• Demonstrate a commitment to support IEHP’s strategic priorities to become a 5-Star Health Plan and incorporate LEAN principles into daily work.
• Ensure the privacy and security of PHI (Protected Health Information) as outlined in IEHP's policies and procedures relating to HIPAA compliance.
• Perform any other duties as required to ensure Health Plan operations and department business needs are successful.

Requirements

• Minimum of four (4) years of experience in analytics, data science, and business intelligence
• Experience in developing algorithms, predictive analytics, or statistical models and using statistical packages are required
• Experience in analyzing large data sets that have complex (i.e., unstructured, structured, and semi-structured) designs is also required
• Experience in the areas of medical or health services is preferred
• Bachelor’s degree in a related field or any non-related field along with a certification in data science from an accredited institution is required
• Strong understanding of Machine Learning theory with significant applied experience
• Familiarity with basic principles of distributed computing and/or distributed databases
• Knowledge of one or more business/functional areas
• Excellent interpersonal and communication skills
• Strong analytic and critical thinking skills.
• Proven ability to manipulate large datasets and use database and general-purpose programming language (such as Hadoop MapReduce, Python, JavaScript, or other big data frameworks, Java)

Tech Stack

• ETL
• Hadoop
• Java
• JavaScript
• MapReduce
• Python

Benefits

• Medical Insurance with Dental and Vision
• Life, short-term, and long-term disability options
• Career advancement opportunities and professional development
• Wellness programs that promote a healthy work-life balance
• Flexible Spending Account – Health Care/Childcare
• CalPERS retirement 457(b) option with a contribution match
• Paid life insurance for employees
• Pet care insurance