{"schemaVersion":"jobsearcher.job.v1","id":"80942860ec1040fc00a41102","url":"https://jobsearcher.com/jobs/80942860ec1040fc00a41102","canonicalUrl":"https://jobsearcher.com/jobs/80942860ec1040fc00a41102","title":"Lead Data Scientist","description":"Job Title: Data Scientist\nLocation: Onsite – Orlando, FL\nContract: 6+ Months\nResponsibilities:\nBasic Qualifications: Must demonstrate proficiency in at least one of the following four analytical fields of Statistics, Optimization, Econometrics, and/or Machine Learning.\nAchieve Business Goals and Objectives: Research and develop decision science models while serving as a consultant to various business units within The Walt Disney Company.\nPursue Innovation: Conduct research on advanced analytical techniques and translate findings into practical, sustainable solutions for end users.\nUtilize Technical Expertise: Perform data collection, data mining, and build state-of-the-art decision science algorithms, tools, and systems.\nDrive Business Value: Model and analyze revenue management and pricing-related issues using mathematical, statistical, and simulation techniques.\nCommunicate Effectively: Present scientific results and insights to business partners and stakeholders.\nSupport Enterprise Initiatives: Contribute to a global, enterprise-wide mission by leveraging data-driven insights.\nQualifications\nGeneral Computing: Python, Java, C, C++, etc.\nStatistical Computing: R, SAS, etc.\nScientific Computing: Julia, MATLAB, etc.\nRequired Education:\nMaster’s or Ph.D. degree in Statistics, Operations Research, Industrial Engineering, Mathematics, Machine Learning, Econometrics, or a related field.\nResponsibilities\nLead the design and implementation of machine learning models using R and Python to solve complex data problems.\nCollaborate with cross-functional teams to deploy models on AWS and ensure scalability.\nUtilize SQL for data extraction and manipulation, while leveraging big data technologies like Hadoop.\nMentor junior data scientists and drive best practices in model training and deployment.\nAnalyze large datasets using natural language processing techniques to derive actionable insights.\nStay updated with advancements in AI and machine learning frameworks to enhance project outcomes.\nJob Type: Contract\nPay: From $85.00 per hour\nExpected hours: 40 per week\nSchedule:\nMonday to Friday\nWork Location: In person","company":"Moorecroft Systems","rawCompany":"moorecroft systems","city":"Seattle","state":"WA","isRemote":false,"isActive":false,"createdAt":"2026-08-10T13:36:33.782Z","occupations":[{"code":"15-2051.00","title":"Data Scientists","slug":"data-scientists"},{"code":"15-1221.00","title":"Computer and Information Research Scientists","slug":"computer-and-information-research-scientists"},{"code":"15-2031.00","title":"Operations Research Analysts","slug":"operations-research-analysts"}],"industries":[{"code":"541690","title":"Other Scientific and Technical Consulting Services","slug":"other-scientific-and-technical-consulting-services"},{"code":"541512","title":"Computer Systems Design Services","slug":"computer-systems-design-services"},{"code":"541990","title":"All Other Professional, Scientific, and Technical Services","slug":"all-other-professional-scientific-and-technical-services"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Lead Data Scientist","description":"Job Title: Data Scientist\nLocation: Onsite – Orlando, FL\nContract: 6+ Months\nResponsibilities:\nBasic Qualifications: Must demonstrate proficiency in at least one of the following four analytical fields of Statistics, Optimization, Econometrics, and/or Machine Learning.\nAchieve Business Goals and Objectives: Research and develop decision science models while serving as a consultant to various business units within The Walt Disney Company.\nPursue Innovation: Conduct research on advanced analytical techniques and translate findings into practical, sustainable solutions for end users.\nUtilize Technical Expertise: Perform data collection, data mining, and build state-of-the-art decision science algorithms, tools, and systems.\nDrive Business Value: Model and analyze revenue management and pricing-related issues using mathematical, statistical, and simulation techniques.\nCommunicate Effectively: Present scientific results and insights to business partners and stakeholders.\nSupport Enterprise Initiatives: Contribute to a global, enterprise-wide mission by leveraging data-driven insights.\nQualifications\nGeneral Computing: Python, Java, C, C++, etc.\nStatistical Computing: R, SAS, etc.\nScientific Computing: Julia, MATLAB, etc.\nRequired Education:\nMaster’s or Ph.D. degree in Statistics, Operations Research, Industrial Engineering, Mathematics, Machine Learning, Econometrics, or a related field.\nResponsibilities\nLead the design and implementation of machine learning models using R and Python to solve complex data problems.\nCollaborate with cross-functional teams to deploy models on AWS and ensure scalability.\nUtilize SQL for data extraction and manipulation, while leveraging big data technologies like Hadoop.\nMentor junior data scientists and drive best practices in model training and deployment.\nAnalyze large datasets using natural language processing techniques to derive actionable insights.\nStay updated with advancements in AI and machine learning frameworks to enhance project outcomes.\nJob Type: Contract\nPay: From $85.00 per hour\nExpected hours: 40 per week\nSchedule:\nMonday to Friday\nWork Location: In person","datePosted":"2026-08-10T13:36:33.782Z","dateModified":"2026-08-10T13:36:33.782Z","hiringOrganization":{"@type":"Organization","name":"Moorecroft Systems","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Seattle","addressRegion":"WA","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"80942860ec1040fc00a41102"},"url":"https://jobsearcher.com/jobs/80942860ec1040fc00a41102"}}