Data Scientist II
Role overview
What you can expect!
Find joy in serving others with IEHP! We welcome you to join us in “healing and inspiring the human spirit” and to pivot from a “job” opportunity to an authentic experience!
Under the direction of the Manager, Data Science, the Data Scientist II is responsible for modeling complex institutional problems, discovering insights, and identifying opportunities using statistical, algorithmic, mining and visualization techniques. Collaborating closely with Data Science Developers, this role partners with our business stakeholders to identify ways to augment and enhance our data in order to provide insight beyond what can be gleaned from the data we have today.
Commitment to Quality: The IEHP Team is committed to incorporate IEHP’s Quality Program goals including, but not limited to, HEDIS, CAHPS, and NCQA Accreditation.
Additional Benefits:
Responsibilities
- check_circle 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.
- check_circle Apply descriptive and predictive analytics to help drive insights and business decisions.
- check_circle Apply a diverse set of tactics such as statistics, quantitative reasoning, and machine learning to research and produce insights.
- check_circle 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.
- check_circle Build deep-dive analyses and eventual machine learning models to better forecast risk across the portfolio for our contracts and claims activity.
- check_circle Support business operations, finance, quality systems, and other internal teams by building analytics and reporting to understand overall business performance and increase organizational efficiencies.
- check_circle Manage tests for specific providers and generate data to build out case studies and messaging strategies.
- check_circle Designs experiments, test hypotheses, and build models.
- check_circle Conducts data analysis and create moderately complex algorithms.
- check_circle Work with Institute stakeholders to identify the business requirements and the expected outcomes.
- check_circle Work with and alongside business analysts by suggesting other products of interest to the client.
- check_circle Models and frames business scenarios that are meaningful and which impact on critical business processes and/or decisions.
- check_circle Collaborate with Institute subject matter experts to select the relevant sources of information.
- check_circle Recommend ongoing improvements to methods and algorithms that lead to findings, including new information
- check_circle Provide on-going tracking and monitoring of performance of decision systems and statistical models.
- check_circle Communicate analysis and decisions to high-level stakeholders and executives in verbal, visual, and written formats.
- check_circle Collaborate with business leaders, subject matter experts, and decision makers to develop success criteria and optimize new solutions, features, policies, and models.
- check_circle Demonstrate a commitment to support IEHP’s strategic priorities to become a 5-Star Health Plan and incorporate LEAN principles into daily work.
- check_circle Ensure the privacy and security of PHI (Protected Health Information) as outlined in IEHP's policies and procedures relating to HIPAA compliance.
- check_circle Perform any other duties as required to ensure Health Plan operations and department business needs are successful.
- check_circle Minimum of four (4) years of experience in analytics, data science, and business intelligence
- check_circle Experience in developing algorithms, predictive analytics, or statistical models and using statistical packages are required
- check_circle 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
- check_circle Experience in the areas of medical or health services is preferred
- check_circle 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
- check_circle Strong understanding of Machine Learning theory with significant applied experience
- check_circle Familiarity with basic principles of distributed computing and/or distributed databases
- check_circle Knowledge of one or more business/functional areas
- check_circle Excellent interpersonal and communication skills
- check_circle Strong analytic and critical thinking skills. In addition to advanced analytic skills, this role is also proficient at integrating and preparing large, varied datasets, architecting specialized databases, and computing environments, and communicating results
- check_circle Strong written and verbal communication skills. Excellent interpersonal/ communication skills
- check_circle Strong scientific Python skills using pandas, scikit-learn, and statistical models, as well as strong understanding of model deployment patterns
- check_circle Proven ability to facilitate cross-functional projects that depend on the contributions of others in a variety of disciplines
- check_circle Ability to multi-task while maintaining careful attention-to-detail
- check_circle Ability to handle multiple projects, data input, and strong problem-solving capability
- check_circle 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)
- check_circle Demonstrable ability to quickly understand new concepts-all the way down to the theorems- and to come out with original solutions to mathematical issues
- check_circle Ability to build relationships and influence across the organization
- check_circle Independent self-starter who is driven to success, takes great pride in accomplishments, and works with a sense of urgency to meet deadlines and address competing priorities
Benefits
- check_circle Competitive salary
- check_circle State of the art fitness center on-site
- check_circle Medical Insurance with Dental and Vision
- check_circle Life, short-term, and long-term disability options
- check_circle Career advancement opportunities and professional development
- check_circle Wellness programs that promote a healthy work-life balance
- check_circle Flexible Spending Account – Health Care/Childcare
- check_circle CalPERS retirement
- check_circle 457(b) option with a contribution match
- check_circle Paid life insurance for employees
- check_circle Pet care insurance