Responsibilities
- Lead and drive cross-functional data science projects from start to finish, including building relationships with partner teams, framing and structuring questions, and collecting and analyzing data.
- Apply descriptive and predictive analytics to support insights and business decisions.
- Use a variety of methods such as statistics, quantitative reasoning, and machine learning to research and produce insights.
- Collaborate with data engineering and data solutions teams to ensure proper data tracking for features and support debugging and development of new ETL processes.
- Conduct deep-dive analyses and develop machine learning models to better forecast risk across the portfolio for 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 case studies and messaging strategies.
- Design experiments, test hypotheses, and build models.
- Conduct data analysis and create moderately complex algorithms.
- Work with Institute stakeholders to identify business requirements and expected outcomes.
- Work with and alongside business analysts by suggesting other products of interest to the client.
- Model and frame business scenarios that are meaningful and impact critical business processes or decisions.
- Collaborate with Institute subject matter experts to select relevant sources of information.
- Recommend ongoing improvements to methods and algorithms that lead to findings, including new information.
- Provide ongoing tracking and monitoring of performance of decision systems and statistical models.
- Communicate analysis and decisions to high-level stakeholders and executives in verbal, visual, and written formats.
- 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 strategic priorities to become a 5-Star Health Plan and incorporate LEAN principles into daily work.
- Ensure the privacy and security of Protected Health Information as outlined in 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 years of experience in analytics, data science, and business intelligence.
- Experience in developing algorithms, predictive analytics, or statistical models and using statistical packages.
- Experience in analyzing large data sets with complex designs (unstructured, structured, and semi-structured).
- Bachelor's degree in a related field or any non-related field along with a certification in data science from an accredited institution.
- Strong understanding of Machine Learning theory with significant applied experience.
- Familiarity with basic principles of distributed computing or distributed databases.
- Knowledge of one or more business or functional areas.
- Excellent interpersonal and communication skills.
- Strong analytic and critical thinking skills, including proficiency in integrating and preparing large, varied datasets, architecting specialized databases and computing environments, and communicating results.
- Strong written and verbal communication skills; excellent interpersonal and communication skills.
- Strong scientific Python skills using pandas, scikit-learn, and statistical models, as well as strong understanding of model deployment patterns.
- Proven ability to facilitate cross-functional projects that depend on contributions from others in a variety of disciplines.
- Ability to multi-task while maintaining careful attention to detail.
- Ability to handle multiple projects, data input, and strong problem-solving capability.
- Proven ability to manipulate large datasets and use database and general-purpose programming languages (such as Hadoop MapReduce, Python, JavaScript, or other big data frameworks, Java).
- Demonstrable ability to quickly understand new concepts down to the theorems and to come up with original solutions to mathematical issues.
- Ability to build relationships and influence across the organization.
- 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.
Nice to Have
- Experience in the areas of medical or health services is preferred.
Benefits
- Competitive salary
- State of the art fitness center on-site
- 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
Compensation
Competitive salary
Work Arrangement
Hybrid — Rancho Cucamonga, CA
Other
- Work Model Location: This position is on a hybrid work schedule. (Monday & Friday - remote, Tuesday – Thursday onsite in Rancho Cucamonga, CA.)
- Should be willing to be on-call occasionally to attend to technical issues outside of normal business hours
