{"id":4247451,"url":"https://alion.io/job/careersingovernment-com-senior-data-scientist-2","title":"SENIOR DATA SCIENTIST","company":{"id":701994,"name":"CareersInGovernment.com","domain":"careersingovernment.com","url":"https://alion.io/company/careersingovernment-com","size_band":"11-50","is_staffing_agency":true,"employer_type":"agency","is_intermediary":true,"listed_via":"careersingovernment.com","ats_vendor":"Schema","truth_index":{"grade":"A","score":86,"open_postings":991,"ghost_share":0,"stale_share":0.348,"repost_share":0,"time_to_fill_p50_days":67,"computed_at":"2026-11-12T10:38:37Z"}},"role":"Data Science","role_family":"Data Science","seniority":"senior","employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Los Angeles, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":121788,"max":164128,"currency":"USD","period":"year","gross":null,"usd_annual":164128},"salary_estimate":null,"experience_years_min":6,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Azure","optional":false},{"name":"Jira","optional":false},{"name":"Machine Learning","optional":false},{"name":"NLP","optional":false}],"status":"live","first_seen_at":"2026-10-30T00:00:00Z","employer_posted_date":"2026-11-13","last_verified_at":"2026-11-13T00:00:00Z","board_verified":false,"closed_at":null,"days_open":14,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":14},"description":"Job Description\nPosition/Program InformationEXAM NUMBER\nY1764B\nTYPE OF RECRUITMENT\nWe welcome applications from anyone.\nNO OUT-OF-CLASS EXPERIENCE WILL BE ACCEPTED FOR THIS EXAMINATION.\nFILLING DATE\nThe application filing period will begin on October 28, 2026 - Continuous.\nWe will keep accepting applications until the position is filled. The application window may close unexpectedly once we have enough qualified candidates.\nLA Health Services is LA County’s integrated healthcare system and the second-largest public health system in the nation. Our system includes four public hospitals, more than 20 community health centers, Emergency Medical Services (EMS), Correctional Health Services, and community-based programs that connect people to care where they are. \nWe serve as the safety net for more than 10 million residents, providing care regardless of ability to pay, insurance coverage, or immigration status. As one connected system, we deliver outstanding care-from prevention and primary care to emergency, specialty, trauma, and recovery services across Los Angeles County. \nWith more than 2.9 million visits annually and a workforce of over 23,000 dedicated staff, LA Health Services is proud to deliver high-quality, compassionate, and accessible care to everyone, no matter how they come through our doors. \nExplore our one system of hospitals and community health centers: Our Locations - Health Services Los Angeles County\nCheck Out Our Outstanding Benefits!\nWe offer one of the strongest public-sector benefits packages in the country. Join us and discover a rich selection of health care options, robust retirement plans and the flexibility to work, relax and rejuvenate as you reach your fullest personal and professional potential. Click here to see comprehensive information regarding County employee benefits. \nLA Health Services seeking a dedicated Senior Data Scientist to join our team. Whether you’re working in community clinics or hospitals, this is an opportunity to grow your career while serving diverse communities across LA County.\nOur Mission:\nTo advance the health of our patients and our communities by providing outstanding care.\nThe Team Member We Are Looking for Will:\nUnder general supervision, leads the development and application of methods to identify, collect, process, organize, and analyze structured and unstructured data using advanced statistical prediction, inference, and optimization; effectively communicates results to County, departmental, and divisional decision makers and provides ongoing support to strengthen data-driven program design and management.\nEssential Job Functions\nWhat You'll Be Doing:\nDevelops and maintains inpatient bed utilization and staffing forecast models and scenario-planning tools to support capacity planning and operational decision-making.\nDevelops clinical notes Natural Language Processing (NLP) and machine learning-based anomaly detection to identify trends and potential coding gaps affecting data quality, specifically KPIs and quality measures.\nCollaborates with division, departmental, and countywide partners 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 and allocate resources; and provides ongoing consultation during program implementation of recommendations as necessary to ensure program fidelity.\nConducts and coordinates statistical inference of data and conveys findings and conclusions orally, in writing, visually, in presentations, and by developing interactive tools as appropriate to communicate effectively with a wide range of audiences, including technical and nontechnical staff, partners, and members of the public.\nProvides technical oversight to small teams of Data Scientists and Predictive Data Analysts as necessary to ensure project success.\nRecommends ongoing improvements to methods and algorithms that lead to findings, including new information.\nCreates and monitors performance of automated-detection systems and provides business metrics for overall project to show improvements initially and over multiple iterations.\nLeads the discovery process with departmental partners to document business requirements and frame business problems so that appropriate corresponding data science techniques and products can be identified and deployed.\nDevelops and maintains a high level of expertise in statistical programming languages and packages and other software tools; provides training and support to Data Scientists and Predictive Data Analysts as necessary; and ensures the quality of code and programming logic generated by the data science team.\nWorks with program staff to understand the implications of analyses and to ensure that findings are actionable and support data-driven program, policy, and operational decision-making.\nDevelops and maintains operational and service line KPI dashboards spanning clinical operations, quality and patient outcomes, patient experience, and financial sustainability to support data-driven decision-making.\nCollaborates with other department subject matter experts to understand, identify, and select available and relevant sources of data for use cases, including internal, external, structured, and unstructured data sources; and provides guidance to other department data experts in the selection and transformation of such sources.\nMaintains version-controlled notebooks, model cards, technical documentation, and reproducible workflows within the Azure data environment.\nCoordinates with various functional teams to develop and implement products, services, tools, or business process changes resulting from the analysis.\nTroubleshoots deployed analytical solutions and implements corrective enhancements to maintain data and model accuracy.\nAssists in implementing recommended business process changes in ways retain fidelity to standard methodologies identified through the analysis and recognize the operational realities underlying existing business processes; provides ongoing consultation as recommended changes and new programs grow and evolve, including recommending modifications to adopted goals and metrics.\nTracks and manages data science project activities, landmarks, and blockers through Jira and established sprint cycles.\nIn conjunction with the Information Technology organization, supports collection, integration, and retention requirements for large sets of structured and unstructured data from disparate sources; acts as a resource for senior data engineers and architects in the selection and design of systems for use by the data science team.\nRequirements\nREQUIREMENTS TO QUALIFY:\nOption I:\nTwo (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*. Classification Specification Details \n*You may still qualify even if your job title isn’t exactly the same as the ones listed. What matters is that your experience is at a similar level - meaning your job involves similar responsibilities, requires comparable skills and knowledge, and takes place within a similar organizational structure. Please provide a clear explanation of your experience to demonstrate that it is at the appropriate level.\nOption II:\nA 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**-AN D- 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.\nA 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.\n***For this examination, lead capacity is defined as assigning, coordinating, and reviewing the work, ensuring proper work methods are followed and providing technical assistance and training. A lead person is a Senior member of the Data Science team that provides technical assistance to other team members but does not supervise.\nLICENSE:\nA valid California Class C Driver License or the ability to utilize alternative method of transportation when needed to carry out job-related essential functions\nPhysical Class II - Light: This class includes administrative and clerical positions requiring light physical effort that may include occasional light lifting to a 10-pound limit and some bending, stooping, or squatting. Considerable ambulation may be involved.\nDESIRABLE QUALIFICATIONS:\nAdditional credit will awarded to applicants who possess the following: \nIf you are qualified under option I: Additional years of experience beyond the requirements.\nIf you are qualified under option II: A dditional experience in excess of two (2 ) years of experience 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 . \nSPECIAL REQUIREMENTS INFORMATION:\n[redacted] Y our official transcripts from an accredited institution must show the degree conferred, the area of specialization, and the relevant course work specified in the requirements. The required degree should show the date the degree was conferred and be in English. If not in English, then translation is required. International degrees must be evaluated for equivalency to U.S. standards. Include official copies of all relevant documents. For more information on our standards for educational documents, please visit: https://file.lacounty.gov/SDSInter/dhr/070812_PPG123.pdf .\nDocuments marked as unofficial will not be accepted. We do not accept password-protected documents. Please make sure documents are unlocked. \nIf you are unable to attach the required documents to your application at the time of filing, you may email them within s even (7) calendar days from the application date to Darlene Beamon-Thomas at  . Please include your full name (as it appears on your application), the exam number, and the exam title in the email message. \nAdditional Information\nEXAMINATION CONTENT:\nTraining & Experience (T&E) Evaluation: This assessment type will evaluate the experience you list on the online application and supplemental questionnaire and assign a score based on a standardized scoring system. This part of the assessment is worth 100% of your total score and assesses: Requirements to Qualify, Desirable Qualifications, and Supplemental Questionnaire responses. \nApplicants must receive a passing score of 70% or higher on the assessment to be added to the eligible list.\nELIGIBILITY AND VACANCY INFORMATION: \nWe process applications as we receive them. If you pass the assessment, we will place you on a list for 12 months. Hiring managers within LA Health Services will use this list to fill vacancies as they become available. \nSuccessful applicants that were added to the eligible list may not apply for this examination for twelve (12) months following the date of being placed on the eligible list. 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