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Data Scientist- CalAIM
1 month ago
Community Programs is a program office within Health Services Administration, a division under the Los Angeles County Department of Health Services (DHS). Community Program’s mission is to improve the health and wellbeing of LA County’s people experiencing homelessness by providing housing and intensive care management services. In addition to other responsibilities this position may have a lead role in the tracking, reporting, quality assurance, and billing efforts for CalAIM, a Medi-Cal waiver program. They will be using their expertise to help lead a team of predictive analysts who will be providing data collection, analytic, and billing support for CalAIM services tracking and Medi-Cal billing while simultaneously building dashboards and providing regular descriptive analyses.
ESSENTIAL FUNCTIONS
- Leads the development and application of methods to identify, collect, process, organize, and analyze structured and unstructured data.
- Effectively communicates results to County, departmental, and divisional decision makers and provides ongoing support to strengthen data-driven program design and management.
- Works collaboratively with both technical and nontechnical partners to develop and complete large-scale projects in response to identified business needs.
- Coordinates and contributes to complex projects that require using advanced methods of data science such as cloud-based data design; data extraction, transformation, and loading; statistical analysis; data visualization; automated dashboards, and other data science products into production.
- Collaborates with division, departmental, and countywide stakeholders to solicit, define, and manage highly complex data science projects from conception through implementation; ensures that projects result in actionable insights and recommendations that can be used to support business decisions.
- Provides technical oversight to small teams of Data Scientists and Predictive Data Analysts as necessary to ensure project success.
- Presents their findings to technical and nontechnical stakeholders to support data-driven program design and management; and provide and/or delegate ongoing consultation services to client programs to assist with implementing recommendations as necessary.
- Regularly manages special projects and assignments, such as ad-hoc department reporting and program analyses.
- Able to apply advanced methods of data science to identify new and emerging business problems within their assigned units and may lead project teams of Data Scientists and other analyst staff.
- Ensures that relevant processes and procedures are rigorously documented.
- Convenes and facilitates discussions with stakeholders to design and implement tools and reports.
- Specific Deliverables
- Standardization and automation of
Managed care plan reporting
The cleaning, creation and tracking of Community Supports CalAIM claims
- Creation of tracking tools and dashboards for CalAIM stakeholders
- Quickly and effectively troubleshooting bugs
- Designing and implementing creative solutions for new and changing program requirements
- Delivering timely and accurate responses to adhoc data-related requests
- Shepherding of data-driven continuous quality improvement initiatives for CalAIM service providers
- Ensuring that all billing and required reporting go out accurately and on time.
The ideal candidate has experience working directly with a client-centric relational database. They have very strong technical knowledge and are comfortable leading complex build outs within a SQL database. They are an expert with a variety of analytical tools and have taken the lead on projects where the best path forward is unclear.
Education/Experience
Option I: Two (2) years of experience carrying out complex data science projects that included independently developing and applying methods to identify, collect, process, structure, and analyze data using statistical prediction, inference, and optimization to support data-driven program design and management, at a level equivalent to the Los Angeles County class of Data Scientist.
Option II: A Bachelor’s degree from an accredited college or university in a field of applied research such as Data Science, Machine Learning, Mathematics, Statistics, Business Analytics, Psychology, or Public Health that included 12 semester or 18 quarter units of coursework in data science, predictive analytics, quantitative research methods, or statistical analysis -AND- Six (6) years of experience, including two (2) years in a lead capacity, applying and overseeing the application of machine learning, predictive analytics, data management, and hypothesis-driven data analysis to make actionable recommendations to support program, policy, and operational decision-making. A Master’s or Doctoral degree from an accredited college or university in a field of applied research such Data Science, Machine Learning, Mathematics, Statistics, Business Analytics, Psychology, or Public Health may substitute for up to two (2) years of experience.
Certificates/Licenses/Clearances
- Successful clearing through the Live Scan process with the County of Los Angeles.
- In accordance with “Ban the Box” legislation HFH adheres to a fair chance process.
PHYSICAL DEMANDS
Stand Not Applicable
Walk Not Applicable
Sit Not Applicable
Handling Not Applicable
Reach Outward Not Applicable
Reach Above Shoulder Not Applicable
Climb, Crawl, Kneel, Bend Not Applicable
Lift / Carry Not Applicable
Push/Pull Not Applicable
See Constantly
Taste/ Smell Not Applicable
Not Applicable Not required for essential functions
Occasionally (0 - 2 hrs/day)
Frequently (2 - 5 hrs/day)
Constantly (5+ hrs/day)
WORK ENVIRONMENT
Currently Remote Work and Home Office Setting with a Potential Transition to a General Office Setting, Indoors Temperature Controlled
Heluna Health is an Affirmative Action, Equal Opportunity Employer that encourages minorities, women, veterans, and disabled to apply.
Equal Opportunity Employer/Protected Veterans/Individuals with Disabilities
The contractor will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. However, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by the employer, or (c) consistent with the contractor's legal duty to furnish information. 41 CFR 60-1.35(c)