{"schemaVersion":"jobsearcher.job.v1","id":"c4e94a5d0cd6006a1dde04dc","url":"https://jobsearcher.com/jobs/c4e94a5d0cd6006a1dde04dc","canonicalUrl":"https://jobsearcher.com/jobs/c4e94a5d0cd6006a1dde04dc","title":"Data Science Analyst","description":"Job Title: Data Science AnalystType: Long Term ContractLocation: Miami, FL (Hybrid: onsite 2–3 days per week; onsite availability strongly preferred)OverviewOur client is seeking a Data Science Analyst to join its Casino Technology and Analytics team. The role applies advanced analytics and machine learning to casino, loyalty, and guest data, building forecasting, segmentation, and measurement models that support casino marketing and operations decisions. Working alongside the team's data scientists, this person will partner with Casino Marketing, Casino Operations, Finance, Technology, and Data Engineering. They will turn complex analysis into clear recommendations for business stakeholders and leadership.Key Responsibilities Build and maintain machine learning and statistical models that support casino marketing and operations decisionsRun ad hoc exploratory data analysis (EDA) on large casino, loyalty, and guest datasets to find revenue and efficiency opportunitiesDevelop guest segmentation and demographic analysis to support personalized marketing and pricing modelsDesign and analyze experiments and holdout tests to measure the business impact of analytical workWrite Python and SQL in Databricks notebooks, scripts, and pipelinesConvert existing Alteryx workflows into maintainable Python notebooks, scripts, and Databricks pipelinesBuild dashboards and recurring reports that give Casino Marketing, Operations, and Finance clear visibility into performanceMonitor data quality and work with Data Engineering to resolve gaps, latency, or schema issuesUse AI-assisted development tools (Claude Code, GitHub Copilot) to speed up model development, testing, documentation, and code reviewTranslate model outputs into plain recommendations for non-technical stakeholders and present findings to leadershipDocument data definitions, model assumptions, and methodology so work is repeatable across teams and brandsFollow company data-handling, privacy, and security standards when working with guest and loyalty dataKey Requirements2+ years of experience in data science, advanced analytics, or a similar analytical roleStrong Python (pandas, NumPy, PySpark) and advanced SQL skillsHands-on Databricks experience, including notebooks, jobs, pipelines, and Unity CatalogHands-on experience building and validating predictive models such as regression, classification, time-series forecasting, or clusteringWorking knowledge of experimental design, including A/B testing, holdouts, and causal measurement of liftDaily, current use of AI-assisted development tools (Claude Code, GitHub Copilot), with the judgment to validate AI outputExperience building dashboards or reports in Power BI or TableauExcellent written and verbal communication skills, with the ability to explain complex analysis clearly to business and executive audiencesStrong visual storytelling: able to present workflows, model logic, and findings in diagrams non-technical stakeholders can followMust be authorized to work in the U.S. without sponsorshipEducation Bachelor's degree in Data Science, Statistics, Mathematics, Computer Science, Economics, or a related field, or equivalent experienceDesired, But Not Required Knowledge Casino gaming industry experience as an analyst, mathematician, or game designer (highly preferred), including understanding of return-to-player (RTP), theoretical win, and how rewards are distributed across player sessionsFamiliarity with player tracking, slot telemetry, comp and offer optimization, or reinvestment modelingExperience in hospitality, cruise, travel, retail, or loyalty analyticsMaster's degree in a quantitative fieldWorking knowledge of AlteryxExperience deploying models into production, including monitoring, retraining, and MLflowExperience with streaming or near real-time data (e.g., Kafka) and cloud platforms (Azure or AWS)Familiarity with CRM, loyalty, or offer-management platforms, plus GitHub, Jira, and Confluence","company":"Gravity It Resources","rawCompany":"gravity it resources","city":"Hialeah","state":"FL","isRemote":false,"isActive":true,"createdAt":"2026-11-04T04:36:42.042Z","occupations":[{"code":"15-2051.00","title":"Data Scientists","slug":"data-scientists"},{"code":"15-2051.01","title":"Business Intelligence Analysts","slug":"business-intelligence-analysts"},{"code":"15-1243.01","title":"Data Warehousing Specialists","slug":"data-warehousing-specialists"}],"industries":[{"code":"713210","title":"Casinos (except Casino Hotels)","slug":"casinos-except-casino-hotels"},{"code":"721120","title":"Casino Hotels","slug":"casino-hotels"},{"code":"713290","title":"Other Gambling Industries","slug":"other-gambling-industries"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Data Science Analyst","description":"Job Title: Data Science AnalystType: Long Term ContractLocation: Miami, FL (Hybrid: onsite 2–3 days per week; onsite availability strongly preferred)OverviewOur client is seeking a Data Science Analyst to join its Casino Technology and Analytics team. The role applies advanced analytics and machine learning to casino, loyalty, and guest data, building forecasting, segmentation, and measurement models that support casino marketing and operations decisions. Working alongside the team's data scientists, this person will partner with Casino Marketing, Casino Operations, Finance, Technology, and Data Engineering. They will turn complex analysis into clear recommendations for business stakeholders and leadership.Key Responsibilities Build and maintain machine learning and statistical models that support casino marketing and operations decisionsRun ad hoc exploratory data analysis (EDA) on large casino, loyalty, and guest datasets to find revenue and efficiency opportunitiesDevelop guest segmentation and demographic analysis to support personalized marketing and pricing modelsDesign and analyze experiments and holdout tests to measure the business impact of analytical workWrite Python and SQL in Databricks notebooks, scripts, and pipelinesConvert existing Alteryx workflows into maintainable Python notebooks, scripts, and Databricks pipelinesBuild dashboards and recurring reports that give Casino Marketing, Operations, and Finance clear visibility into performanceMonitor data quality and work with Data Engineering to resolve gaps, latency, or schema issuesUse AI-assisted development tools (Claude Code, GitHub Copilot) to speed up model development, testing, documentation, and code reviewTranslate model outputs into plain recommendations for non-technical stakeholders and present findings to leadershipDocument data definitions, model assumptions, and methodology so work is repeatable across teams and brandsFollow company data-handling, privacy, and security standards when working with guest and loyalty dataKey Requirements2+ years of experience in data science, advanced analytics, or a similar analytical roleStrong Python (pandas, NumPy, PySpark) and advanced SQL skillsHands-on Databricks experience, including notebooks, jobs, pipelines, and Unity CatalogHands-on experience building and validating predictive models such as regression, classification, time-series forecasting, or clusteringWorking knowledge of experimental design, including A/B testing, holdouts, and causal measurement of liftDaily, current use of AI-assisted development tools (Claude Code, GitHub Copilot), with the judgment to validate AI outputExperience building dashboards or reports in Power BI or TableauExcellent written and verbal communication skills, with the ability to explain complex analysis clearly to business and executive audiencesStrong visual storytelling: able to present workflows, model logic, and findings in diagrams non-technical stakeholders can followMust be authorized to work in the U.S. without sponsorshipEducation Bachelor's degree in Data Science, Statistics, Mathematics, Computer Science, Economics, or a related field, or equivalent experienceDesired, But Not Required Knowledge Casino gaming industry experience as an analyst, mathematician, or game designer (highly preferred), including understanding of return-to-player (RTP), theoretical win, and how rewards are distributed across player sessionsFamiliarity with player tracking, slot telemetry, comp and offer optimization, or reinvestment modelingExperience in hospitality, cruise, travel, retail, or loyalty analyticsMaster's degree in a quantitative fieldWorking knowledge of AlteryxExperience deploying models into production, including monitoring, retraining, and MLflowExperience with streaming or near real-time data (e.g., Kafka) and cloud platforms (Azure or AWS)Familiarity with CRM, loyalty, or offer-management platforms, plus GitHub, Jira, and Confluence","datePosted":"2026-11-04T04:36:42.042Z","dateModified":"2026-11-04T04:36:42.042Z","hiringOrganization":{"@type":"Organization","name":"Gravity It Resources","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Hialeah","addressRegion":"FL","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"c4e94a5d0cd6006a1dde04dc"},"url":"https://jobsearcher.com/jobs/c4e94a5d0cd6006a1dde04dc"}}