{"schemaVersion":"jobsearcher.job.v1","id":"4d0e5a6e74e6f9eee67ff3db","url":"https://jobsearcher.com/jobs/4d0e5a6e74e6f9eee67ff3db","canonicalUrl":"https://jobsearcher.com/jobs/4d0e5a6e74e6f9eee67ff3db","title":"Data Science - Advisor","description":"washington, DC Contract Aug 14, 2026\nData Science - Advisor\n\nThe Finance - Data Science - Advisor role will offer you the flexibility to make each day your own, while working alongside people who care so that you can deliver on the following responsibilities:\nUse advanced mathematical, analytical, or econometric tools to create algorithms and analyses that will be used to support the Multifamily CECL and DFAST/forecasting processes within the Finance organization.\nResearch and evaluate model results and perform credit-related analyses for both expected and stress scenarios including CECL/DFAST.\nCoordinate team activities with product and/or business owners, data engineers, and platform teams to understand business needs and current capabilities, data availability, and alternative uses to drive success of parts of projects, programs, or products.\nEnsure application of statistical modeling capabilities from disciplines, such as computer science, computational science and methods, statistics, econometrics, data optimization, and data visualization.\nBuild predictive analytic capabilities within the team to enhance the delivery of business applications, and support the integration of data and statistical models or algorithms.\nApply innovative industry practices in research and testing to product development, deployment, and maintenance.\nOversee the design and build of new modeling applications to support risk measurement, financial valuation, decision making, and business performance for parts of products or initiatives.\nEnsure the team communicates complex ideas and solutions effectively to business partners through data visualizations, technical documentation, and non-technical presentation materials.\nMinimum Required Experiences\n6 years\nDesired Experiences\nBachelor degree or equivalent\nA Masters degree or equivalent in Data Science, Applied Economics, Statistics, or other similar graduate studies\nFamiliarity with advanced techniques including machine learning and natural language processing (NLP)\nPrior quantitative and finance training, including forecasting/stress testing (DFAST) knowledge.\nAbility to direct and evaluate the more technical aspects of data analysis and research, while also managing team in a timely manner to focus on the broader context and key impacts of the analysis\nAbility to build and maintain strong business relationships with partners\nStrong written and verbal communication skills\nRelationship management including managing and engaging stakeholders, partners, customers, and building relationship networks\nStrong analytical and problem-solving skills to conduct and manage analysis to address complex business problems\nProgramming including coding, debugging, and using relevant languages such as Python, R, SQL, or similar\nExperience in the process of analyzing data to identify trends or relationships to generate business insights and inform conclusions about the data\nExpertise in visualizing data to identify, summarize and explain observed data patterns\nTools\nR programming\nTableau\nPython\nSQL\nDBeaver SQL client software\nBitBucket","company":"Technology Ventures","rawCompany":"technology ventures","city":"Washington","state":"DC","isRemote":false,"isActive":false,"createdAt":"2026-08-19T21:04:50.086Z","occupations":[{"code":"15-2051.00","title":"Data Scientists","slug":"data-scientists"},{"code":"13-2051.00","title":"Financial and Investment Analysts","slug":"financial-and-investment-analysts"},{"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":"522299","title":"International, Secondary Market, and All Other Nondepository Credit Intermediation","slug":"international-secondary-market-and-all-other-nondepository-credit-intermediation"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Data Science - Advisor","description":"washington, DC Contract Aug 14, 2026\nData Science - Advisor\n\nThe Finance - Data Science - Advisor role will offer you the flexibility to make each day your own, while working alongside people who care so that you can deliver on the following responsibilities:\nUse advanced mathematical, analytical, or econometric tools to create algorithms and analyses that will be used to support the Multifamily CECL and DFAST/forecasting processes within the Finance organization.\nResearch and evaluate model results and perform credit-related analyses for both expected and stress scenarios including CECL/DFAST.\nCoordinate team activities with product and/or business owners, data engineers, and platform teams to understand business needs and current capabilities, data availability, and alternative uses to drive success of parts of projects, programs, or products.\nEnsure application of statistical modeling capabilities from disciplines, such as computer science, computational science and methods, statistics, econometrics, data optimization, and data visualization.\nBuild predictive analytic capabilities within the team to enhance the delivery of business applications, and support the integration of data and statistical models or algorithms.\nApply innovative industry practices in research and testing to product development, deployment, and maintenance.\nOversee the design and build of new modeling applications to support risk measurement, financial valuation, decision making, and business performance for parts of products or initiatives.\nEnsure the team communicates complex ideas and solutions effectively to business partners through data visualizations, technical documentation, and non-technical presentation materials.\nMinimum Required Experiences\n6 years\nDesired Experiences\nBachelor degree or equivalent\nA Masters degree or equivalent in Data Science, Applied Economics, Statistics, or other similar graduate studies\nFamiliarity with advanced techniques including machine learning and natural language processing (NLP)\nPrior quantitative and finance training, including forecasting/stress testing (DFAST) knowledge.\nAbility to direct and evaluate the more technical aspects of data analysis and research, while also managing team in a timely manner to focus on the broader context and key impacts of the analysis\nAbility to build and maintain strong business relationships with partners\nStrong written and verbal communication skills\nRelationship management including managing and engaging stakeholders, partners, customers, and building relationship networks\nStrong analytical and problem-solving skills to conduct and manage analysis to address complex business problems\nProgramming including coding, debugging, and using relevant languages such as Python, R, SQL, or similar\nExperience in the process of analyzing data to identify trends or relationships to generate business insights and inform conclusions about the data\nExpertise in visualizing data to identify, summarize and explain observed data patterns\nTools\nR programming\nTableau\nPython\nSQL\nDBeaver SQL client software\nBitBucket","datePosted":"2026-08-19T21:04:50.086Z","dateModified":"2026-08-19T21:04:50.086Z","hiringOrganization":{"@type":"Organization","name":"Technology Ventures","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Washington","addressRegion":"DC","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"4d0e5a6e74e6f9eee67ff3db"},"url":"https://jobsearcher.com/jobs/4d0e5a6e74e6f9eee67ff3db"}}