{"schemaVersion":"jobsearcher.job.v1","id":"217378d0ec4fb2fad0baf532","url":"https://jobsearcher.com/jobs/217378d0ec4fb2fad0baf532","canonicalUrl":"https://jobsearcher.com/jobs/217378d0ec4fb2fad0baf532","title":"Senior Data Scientist (modeling, Python, AWS/Databricks)","description":"Title: Sr. Data Scientist Location: Remote.  Need to be within 90 miles of Dallas, TX or Ft. Lauderdale, FL for occasional onsite meetings. Duration: Contract to perm Compensation: $80-85Work Requirements: US Citizen, GC Holders or Authorized to Work in the U.S.Key Skills: Sr. Data Scientist, modeling, Python and AWS/Databricks.The Senior Data Scientist plays a critical role in shaping the future of business by developing algorithms and models that forecast trends and translate business needs into actionable analytics for executive decision-making. With a strong foundation in AI/ML and pricing optimization, this role leads ML model experimentation — scaling sensitivity-to-elasticity experiments across more markets simultaneously — while driving model measurement, tuning, and pilot measurement strategy. By conducting large-scale experiments, the Senior Data Scientist addresses complex business questions and uncovers hidden relationships within extensive datasets.Duties and Responsibilities Perform Exploratory Data Analysis (EDA) and initial investigations on data to discover patterns, spot anomalies, and check assumptionsBuild predictive models using statistical and machine learning techniques, with a focus on pricing optimization and elasticity modelingAugment ML model experimentation by scaling sensitivity-to-elasticity analyses, enabling more experiments and markets to run concurrentlyDesign and execute pilot measurement strategies to evaluate model performance in live environments before full deploymentContinuously measure, monitor, tune, and optimize models within the production environment to ensure health, accuracy, and business impactCreate visual representations of data to communicate findings effectively and share with other Data Scientists for input and storytellingWork with cross-functional teams, including engineers, service owners, product owners, product managers, and business stakeholders, to understand data needs and challengesPrepare reports and presentations to convey insights and recommendationsGather data from various sources and ensure its quality and integrityStay updated with the latest tools, techniques, and industry trends in data science and AI/ML and bring ideas to the table for how to improve the use of data and analyticsDesign and execute comprehensive data analyses using advanced methodologies and statistical modeling to produce insightful reports essential for strategic planningUtilize analytical tools and hypothesis-driven analysis to enhance machine learning projectsImplement cutting-edge AI techniques to boost data analysis efficiencyPerform data samplingMinimum Qualifications/Requirements Bachelor's degree in Mathematics, Statistics, Computer Science, or related field; master's degree preferredTypically 5+ years of relevant quantitative and qualitative research, analytics, data science, or machine learning experienceDemonstrated experience with pricing optimization models and elasticity analysisExperience and solid understanding of machine learning algorithms and relational databasesExperience with data science modeling, statistics, analytics, business intelligence, or data-driven business strategyProven experience in model measurement, monitoring, and tuning within a production environmentExperience managing and delivering complex and technical productsExperience performing statistical analysis and applying visualization techniquesNative-level proficiency/fluency in EnglishPreferred Skills Knowledge of data models and structures, as well as database design tools and query languagesKnowledge of multiple programming languages and statistical analysis tools such as Python, C++, JavaScript, R, SAS, Excel, SQL, MATLAB, and SPSSKnowledge of statistical and data mining techniques such as generalized linear models (GLM)/regression, random forest, boosting, trees, text mining, hierarchical clustering, deep learning, convolutional neural networks (CNN), and recurrent neural networks (RNN)Strong working knowledge of AI/ML techniques with the ability to flex between data science and applied ML roles as business needs evolveExperience designing and executing pilot measurement strategies and evaluating experiment results at scale across multiple marketsBasic knowledge of AI, its potential roles in solving business problems, and the future trajectory of generative AI modelsDemonstrated communication, collaboration, and stakeholder management skills to build strong relationships with IT and the businessDemonstrated data analysis and data modeling skills to identify patterns, trends, and solutions to complex problemsBasic technical leadership skills encompassing employee coaching, objective setting, and fostering professional developmentAbility to clearly communicate concepts and present complex data findings to both technical and business executivesAbility to conduct statistical analyses and build models with advanced scripting languagesAttention to detail and ability to maintain data accuracy and integrityAbout INSPYR Solutions Technology is our focus and quality is our commitment. As a national expert in delivering flexible technology and talent solutions, we strategically align industry and technical expertise with our clients' business objectives and cultural needs. Our solutions are tailored to each client and include a wide variety of professional services, project, and talent solutions. By always striving for excellence and focusing on the human aspect of our business, we work seamlessly with our talent and clients to match the right solutions to the right opportunities. Learn more about us at inspyrsolutions.com. INSPYR Solutions provides Equal Employment Opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability, genetics, or any other protected status. INSPYR Solutions complies with all applicable laws governing nondiscrimination in employment in every location in which the company has facilities. Applicants requiring reasonable accommodation during the application or interview process should contact HR@inspyrsolutions.com for assistance.Information collected and processed through your application with INSPYR Solutions (including any job applications you choose to submit) is subject to INSPYR Solutions' Privacy Policy and INSPYR Solutions' AI and Automated Employment Decision Tool Policy: https://www.inspyrsolutions.com/policies/. By submitting an application, you are consenting to being contacted by INSPYR Solutions through phone, email, or text.","company":"Inspyr Solutions","rawCompany":"inspyr solutions","city":"Miramar","state":"FL","isRemote":false,"isActive":true,"createdAt":"2026-09-22T07:31:56.312Z","occupations":[{"code":"15-2051.00","title":"Data Scientists","slug":"data-scientists"},{"code":"15-1243.01","title":"Data Warehousing Specialists","slug":"data-warehousing-specialists"},{"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":"541990","title":"All Other Professional, Scientific, and Technical Services","slug":"all-other-professional-scientific-and-technical-services"},{"code":"541512","title":"Computer Systems Design Services","slug":"computer-systems-design-services"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Senior Data Scientist (modeling, Python, AWS/Databricks)","description":"Title: Sr. Data Scientist Location: Remote.  Need to be within 90 miles of Dallas, TX or Ft. Lauderdale, FL for occasional onsite meetings. Duration: Contract to perm Compensation: $80-85Work Requirements: US Citizen, GC Holders or Authorized to Work in the U.S.Key Skills: Sr. Data Scientist, modeling, Python and AWS/Databricks.The Senior Data Scientist plays a critical role in shaping the future of business by developing algorithms and models that forecast trends and translate business needs into actionable analytics for executive decision-making. With a strong foundation in AI/ML and pricing optimization, this role leads ML model experimentation — scaling sensitivity-to-elasticity experiments across more markets simultaneously — while driving model measurement, tuning, and pilot measurement strategy. By conducting large-scale experiments, the Senior Data Scientist addresses complex business questions and uncovers hidden relationships within extensive datasets.Duties and Responsibilities Perform Exploratory Data Analysis (EDA) and initial investigations on data to discover patterns, spot anomalies, and check assumptionsBuild predictive models using statistical and machine learning techniques, with a focus on pricing optimization and elasticity modelingAugment ML model experimentation by scaling sensitivity-to-elasticity analyses, enabling more experiments and markets to run concurrentlyDesign and execute pilot measurement strategies to evaluate model performance in live environments before full deploymentContinuously measure, monitor, tune, and optimize models within the production environment to ensure health, accuracy, and business impactCreate visual representations of data to communicate findings effectively and share with other Data Scientists for input and storytellingWork with cross-functional teams, including engineers, service owners, product owners, product managers, and business stakeholders, to understand data needs and challengesPrepare reports and presentations to convey insights and recommendationsGather data from various sources and ensure its quality and integrityStay updated with the latest tools, techniques, and industry trends in data science and AI/ML and bring ideas to the table for how to improve the use of data and analyticsDesign and execute comprehensive data analyses using advanced methodologies and statistical modeling to produce insightful reports essential for strategic planningUtilize analytical tools and hypothesis-driven analysis to enhance machine learning projectsImplement cutting-edge AI techniques to boost data analysis efficiencyPerform data samplingMinimum Qualifications/Requirements Bachelor's degree in Mathematics, Statistics, Computer Science, or related field; master's degree preferredTypically 5+ years of relevant quantitative and qualitative research, analytics, data science, or machine learning experienceDemonstrated experience with pricing optimization models and elasticity analysisExperience and solid understanding of machine learning algorithms and relational databasesExperience with data science modeling, statistics, analytics, business intelligence, or data-driven business strategyProven experience in model measurement, monitoring, and tuning within a production environmentExperience managing and delivering complex and technical productsExperience performing statistical analysis and applying visualization techniquesNative-level proficiency/fluency in EnglishPreferred Skills Knowledge of data models and structures, as well as database design tools and query languagesKnowledge of multiple programming languages and statistical analysis tools such as Python, C++, JavaScript, R, SAS, Excel, SQL, MATLAB, and SPSSKnowledge of statistical and data mining techniques such as generalized linear models (GLM)/regression, random forest, boosting, trees, text mining, hierarchical clustering, deep learning, convolutional neural networks (CNN), and recurrent neural networks (RNN)Strong working knowledge of AI/ML techniques with the ability to flex between data science and applied ML roles as business needs evolveExperience designing and executing pilot measurement strategies and evaluating experiment results at scale across multiple marketsBasic knowledge of AI, its potential roles in solving business problems, and the future trajectory of generative AI modelsDemonstrated communication, collaboration, and stakeholder management skills to build strong relationships with IT and the businessDemonstrated data analysis and data modeling skills to identify patterns, trends, and solutions to complex problemsBasic technical leadership skills encompassing employee coaching, objective setting, and fostering professional developmentAbility to clearly communicate concepts and present complex data findings to both technical and business executivesAbility to conduct statistical analyses and build models with advanced scripting languagesAttention to detail and ability to maintain data accuracy and integrityAbout INSPYR Solutions Technology is our focus and quality is our commitment. As a national expert in delivering flexible technology and talent solutions, we strategically align industry and technical expertise with our clients' business objectives and cultural needs. Our solutions are tailored to each client and include a wide variety of professional services, project, and talent solutions. By always striving for excellence and focusing on the human aspect of our business, we work seamlessly with our talent and clients to match the right solutions to the right opportunities. Learn more about us at inspyrsolutions.com. INSPYR Solutions provides Equal Employment Opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability, genetics, or any other protected status. INSPYR Solutions complies with all applicable laws governing nondiscrimination in employment in every location in which the company has facilities. Applicants requiring reasonable accommodation during the application or interview process should contact HR@inspyrsolutions.com for assistance.Information collected and processed through your application with INSPYR Solutions (including any job applications you choose to submit) is subject to INSPYR Solutions' Privacy Policy and INSPYR Solutions' AI and Automated Employment Decision Tool Policy: https://www.inspyrsolutions.com/policies/. By submitting an application, you are consenting to being contacted by INSPYR Solutions through phone, email, or text.","datePosted":"2026-09-22T07:31:56.312Z","dateModified":"2026-09-22T07:31:56.312Z","hiringOrganization":{"@type":"Organization","name":"Inspyr Solutions","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Miramar","addressRegion":"FL","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"217378d0ec4fb2fad0baf532"},"url":"https://jobsearcher.com/jobs/217378d0ec4fb2fad0baf532"}}