{"id":2964104,"url":"https://alion.io/job/careersingovernment-com-predictive-data-analyst-emergency-appointment-homelessness-2","title":"PREDICTIVE DATA ANALYST - EMERGENCY APPOINTMENT (HOMELESSNESS)","company":{"id":701994,"name":"CareersInGovernment.com","domain":"careersingovernment.com","url":"https://alion.io/company/careersingovernment-com","size_band":"5000+","is_staffing_agency":false,"employer_type":"direct","is_intermediary":true,"listed_via":"careersingovernment.com","ats_vendor":"Schema","truth_index":{"grade":"A","score":87,"open_postings":991,"ghost_share":0,"stale_share":0.318,"repost_share":0,"time_to_fill_p50_days":67,"computed_at":"2026-10-29T05:49:05Z"}},"role":"Analytics","role_family":"Analytics","seniority":"middle","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":96353,"max":129847,"currency":"USD","period":"year","gross":null,"usd_annual":129847},"salary_estimate":null,"experience_years_min":4,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Machine Learning","optional":false},{"name":"Azure","optional":true},{"name":"Databricks","optional":true},{"name":"ETL/ELT","optional":true},{"name":"Git","optional":true},{"name":"Looker","optional":true},{"name":"Power BI","optional":true},{"name":"Python","optional":true},{"name":"SQL","optional":true},{"name":"Stata","optional":true},{"name":"Tableau","optional":true}],"status":"live","first_seen_at":"2026-10-17T00:00:00Z","employer_posted_date":"2026-10-20","last_verified_at":"2026-10-20T00:00:00Z","board_verified":false,"closed_at":null,"days_open":12,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":12},"description":"Job Description\nPosition/Program InformationType of Recruitment \nOpen Competitive - Emergency\nFiling Dates \nApplications will be accepted from Thursday, October 15, 2026, at 8:00 a.m. (PT) until Thursday, October 22, 2026, 5:00 p.m. (PT). All applications must be received before 5:00 p.m. (PT) on Thursday, October 22, 2026, to be accepted.\nExam Number \nHH1762B-EA \nThe LA County Board of Supervisors recently declared a local state of emergency for homelessness , and the County is working to revise and expand our response to help all who are affected. We are looking for qualified and passionate individuals to help us in the mission of addressing issues like housing, mental health, and substance use. If you are looking for a new career that will directly benefit the population of LA County, this may be the opportunity for you. \nThe Department of Homeless Services and Housing (HSH) is seeking qualified candidates to fill emergency Health Program Analyst III vacancies related to the homelessness crisis. \nUnder the emergency order, applicants who meet the requirements may be hired for an initial period of up to 90 days, with an opportunity for permanent County employment. \nDuring your initial work period, you will be assessed on your work performance. This assessment will be weighted 100%. \nThose who successfully pass the assessment will be considered for permanent appointment to Predictive Data Analyst. \nEssential Job Functions\nAssists department stakeholders to define data needs and requirements to ensure data science projects meet business needs at the community, regional, divisional, departmental, or county-wide level.\nCollaborates with other department subject matter experts to understand, identify, and select available and relevant sources of data for use cases, including internal and external data sources.\nCollaborates with data administrators and other IT staff to develop data pipelines and ensure the availability of quality data.\nUses statistical programming languages and packages, computer scripting languages, and/or domain-specific languages to digest, manipulate, prepare, augment, evaluate, analyze, summarize, and visualize data.\nConducts end-to-end predictive data modeling projects that include basic exploratory data analysis, feature engineering, model selection, deployment of models into production environments, and visualization of findings.\nUses advanced data visualization techniques to create data dashboards and reports to be used by varying levels of the enterprise and business managers.\nUses supervised machine learning techniques on less complex business problems, with an understanding of algorithms, feature selection, variable importance, hyper parameter tuning, and optimization.\nPerforms data management and manipulation, including the writing of data queries of departmental databases and data marts, data cleaning, and joining of multiple and disparate data sets.\nExtracts and organizes data and applies quality-control techniques to ensure the accuracy and completeness of all data; researches source documents and coordinates with others to resolve missing or conflicting data and other anomalies.\nAssists in planning, designing, and managing experiments, consumer surveys, and other data collection projects to augment existing sources of data as necessary to solve business problems.\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.\nAssists in coordinating with various functional teams to develop and implement products, services, tools, or business process changes resulting from the analysis.\nAccesses ongoing training and professional development to maintain familiarity with current industry and academic research to apply the latest and most useful statistical learning techniques to help extract patterns and trends from data.\nRequirements\nRequirements to Qualify\nOption I: 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- Two (2) years of experience in the application of techniques of machine learning, predictive analytics, data management, and hypothesis-driven data analysis to complex experimental designs leading to actionable findings and recommendations -OR- A Master’s or Doctoral 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.\nOption II: Four (4) years of experience with responsibility for planning, designing, conducting, and evaluating research projects involving the application of techniques of machine learning, predictive analytics, data management, and/or hypothesis-driven data analysis to complex experimental designs leading to actionable findings and recommendations. \nYou MUST meet the above requirement(s) in order to be appointed to fill any vacancies related to this recruitment.\nSpecial Requirement Information\n\n*To receive credit for your education, include a copy of your official diploma or letter/certificate -AND- official transcript from an accredited institution within seven (7) calendar days of the end of the filing period. Please submit documentation to  and indicate your name, the exam name, and the exam number. The document should show the date the degree was conferred and be in English; if it is in a foreign language, it must be translated and evaluated for equivalency to U.S. standards. For more information on our standards for educational documents, please visit: \nhttps://file.lacounty.gov/SDSInter/dhr/070812_PPG123.pdf and https://file.lacounty.gov/SDSInter/dhr/205105_PPG_123_ACE_Resource_Guide.pdf ;\nWe do not accept password-protected documents. Ensure documents are unlocked before attaching to your application or sending to the exam analyst.\nLicense\nA valid California Class C Driver License or the ability to utilize an alternative method of transportation when needed to carry out job-related essential functions.\nPhysical Class\nII - 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\nSix (6) months of experience within the last two (2) years in one or more of the following:Working with real-world administrative datasets, including identifying and resolving common data quality issues such as missing values, duplicate records, and inconsistent coding across sources.\nProducing recurring reports or dashboards from administrative data systems using tools such as Tableau, Looker, Power BI, Databricks Dashboards, Sparks, Azure Synapse, or equivalent platforms.\nCommunicating analytic findings clearly in writing and in presentations to non-technical audiences such as program managers or executive staff.\nUsing version control or collaborative coding tools (e.g., Git, shared notebooks) in a team analytic environment.\nWorking with Stata, SQL, Python, R, or other code-based analytics languages.\nConducting quality assurance (QA) on reports, projects, or coding logic to ensure data accuracy. \nWorking on an Extract, Transform, and Load (ETL) process using data input tools to clean and combine datasets.\n\nAdditional Information\nExam Content\nDuring your initial work period, the appointing department will evaluate your performance. Those who achieve a passing score on this evaluation will be considered for permanent appointment.\nApplication and Filing Information\nApplications must be filed online only and will be reviewed for interview consideration on an ongoing basis. If you have not been contacted within 60 days and the recruitment remains open or reopens for filing, we encourage you to submit a new application. This will allow you to reaffirm your interest and update any relevant information. Please note, applicants will not receive individual notifications regarding their application or whether they meet the requirements. \nMany important notifications will be sent electronically to the email address provided on the application, so it is important that you provide a valid email address. Please add  , as well as , and  to your email address and list of approved senders to prevent email notifications from being filtered as spam/junk/clutter mail. \nYou have the ability to opt out of emails from LA County. If you unsubscribe, you will not receive any email notification for any examination for which you apply with Los Angeles County. Regardless of whether you choose to unsubscribe, you can always check for notifications by logging into governmentjobs.com and viewing your profile inbox, which saves a copy of all emailed notices. \nPlan to submit your online application well in advance of the deadline as you may be required to verify your email address. This only needs to be done once per email address, and if you already have a job seeker account on www.governmentjobs.com/careers/lacounty , you can verify at any time by logging in and following the prompts. This is to enhance the security of your online application and to ensure you do not enter an incorrect email address.\nSocial Security Number \n Please include your Social Security Number for record control purposes. Federal law requires that all employed persons have a Social Security Number.\nComputer and Internet Access at Public Libraries\nFor candidates who may not have regular access to a computer or the internet, applications can be completed on computers at public libraries throughout Los Angeles County.\nAnti-Racism, Diversity, and Inclusion (ARDI)\nThe County of Los Angeles recognizes and affirms that all people are created equal and are entitled to all rights afforded by the Constitution of the United States. The Department of Human Resources is committed to promoting Anti-racism, Diversity, and Inclusion efforts to address the inequalities and disparities amongst race. We support the ARDI Strategic Plan and its goals by improving equality, diversity, and inclusion in recruitment, selection, and employment practices.\nDepartment Contact Name: Suzy Atajanyan\nDepartment Contact Email: \nTeletype Phone: (800) 735-2929\nFor detailed information, please click here\nClosing Date/Time: 10/22/2026 5:00 PM Pacific","description_format":"text","description_chars":10802,"description_truncated":false,"requirements":{"experience_years_min":4,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"bachelor","optional":false},"security_clearance":false,"languages":[]},"benefits":["Professional development"],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["Job Boards & Aggregators"],"lifecycle":[{"event":"open","at":"2026-10-20T23:35:53Z"}],"visa":[],"liveness":{"score":90,"band":"hot","label":"Hiring now","p_open":1,"p_active":0.9,"p_room":1,"age_days":12,"expected_fill_days":67,"reasons":["seen:9","velocity","win:early","comp:brand"],"computed_at":"2026-10-29T05:49:05Z"},"pay":{"stated_usd_annual":129847,"is_top_pay":true},"html_url":"https://alion.io/job/careersingovernment-com-predictive-data-analyst-emergency-appointment-homelessness-2","json_url":"https://alion.io/job/careersingovernment-com-predictive-data-analyst-emergency-appointment-homelessness-2.json","meta":{"generated_at":"2026-10-29T17:26:00Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","about":"Alion is a live layer of people, companies and AI agents: who they are, whether they are real and active right now, what they do and how to work with them, readable by people and by agents and paid per call.","catalog":"https://alion.io/catalog.json","usage":{"tier":"crawler_verified","counted_by":"address","units_charged":1,"used_today":26111,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-10-30T00:00:00Z"}},"offers":[{"id":"company.slices","title":"One company in depth, by slice","status":"live","price":{"credits":0.02,"usd":0.002,"plus_per_slice":{"credits":0.05,"usd":0.005}},"unit":"per company, plus each slice with data","note":"the employer in depth","call":{"mcp_tool":"get_company","arguments":{"id":701994},"rest":"https://alion.io/mcp/rest/get_company?id=701994"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fcareersingovernment-com-predictive-data-analyst-emergency-appointment-homelessness-2"},{"id":"market.stats","title":"A market slice: pay, demand and time to fill","status":"live","price":{"credits":1,"usd":0.1},"unit":"per slice","note":"pay, demand and time to fill for this role and place","call":{"mcp_tool":"market_stats"},"human":"https://alion.io/catalog?offer=market.stats&for=job%2Fcareersingovernment-com-predictive-data-analyst-emergency-appointment-homelessness-2"},{"id":"job.search","title":"Open jobs by role, technology, place, pay and visa","status":"live","price":{"credits":0.02,"usd":0.002},"unit":"per posting in a list","note":"similar open postings","call":{"mcp_tool":"search_jobs"},"human":"https://alion.io/catalog?offer=job.search&for=job%2Fcareersingovernment-com-predictive-data-analyst-emergency-appointment-homelessness-2"},{"id":"company.verify","title":"Is this company real and active right now","status":"pilot","price":null,"unit":"per company","request":{"url":"https://alion.io/catalog/request","method":"POST","body":"{\"offer\": \"company.verify\", \"for\": \"job/careersingovernment-com-predictive-data-analyst-emergency-appointment-homelessness-2\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fcareersingovernment-com-predictive-data-analyst-emergency-appointment-homelessness-2"}],"agent":{"mcp":"https://alion.io/mcp/jobs","mcp_open":"https://alion.io/mcp/open","next":[{"tool":"get_job","arguments":{"id":2964104}},{"tool":"search_jobs","arguments":{"company":"careersingovernment.com","detail":"compact"}},{"tool":"match_people","arguments":{"job_id":2964104},"note":"people open to offers who fit this vacancy"}],"note":"The same data through MCP tools: https://alion.io/mcp/open needs no sign-in (compact searches, postings, people); https://alion.io/mcp with an Alion account has everything. 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