{"schemaVersion":"jobsearcher.job.v1","id":"ee3d926f06ffee66d2aa4c1a","url":"https://jobsearcher.com/jobs/ee3d926f06ffee66d2aa4c1a","canonicalUrl":"https://jobsearcher.com/jobs/ee3d926f06ffee66d2aa4c1a","title":"Senior Data Specialist","description":"Senior Data ScientistRemote12-month ContractPotential for Extension/HireBrooksource is seeking a Senior Data Scientist to support the Modern Sales initiative at one of our largest Fortune 200 energy clients. Modern Sales is a strategic transformation program focused on modernizing the energy sales process through advanced analytics, data-driven decisioning, and AI-enabled technology. The platform enables sales teams to leverage customer, market, and operational data to improve decision-making, identify opportunities, and deliver more effective customer interactions.As the Modern Sales platform continues to scale across markets, the Senior Data Scientist will play a critical role in the development, enhancement, governance, and production support of the analytical and AI capabilities that power the platform. This individual will work closely with business stakeholders, data engineers, software developers, and technical leadership to translate complex sales requirements into scalable analytical solutions and ensure models and decisioning capabilities remain accurate, reliable, explainable, and production ready. This is a hands-on senior-level role requiring strong expertise in Python, Databricks, data science, machine learning, and production analytical systems. The ideal candidate will be comfortable operating beyond traditional model development and taking ownership of solutions throughout their lifecycle, including requirements definition, development, validation, deployment, monitoring, governance, and continuous improvement.Requirements:Bachelor's Degree in Data Science, Computer Science, Statistics, Mathematics, Engineering, Information Technology, or a related field; OR equivalent professional experience5+ years of professional experience in data science, machine learning, advanced analytics, or a related technical disciplineStrong hands-on experience developing production-grade solutions using PythonAdvanced experience with PySpark and Pandas for large-scale data processing and analytical workflowsHands-on experience working within Databricks or a comparable enterprise data and analytics platformExperience designing, developing, and deploying machine learning models, predictive analytics, scoring models, or decisioning solutionsStrong understanding of feature engineering, model evaluation, validation, optimization, and performance monitoringExperience translating complex business requirements and rules into scalable analytical or decisioning solutionsExperience working with AI-enabled or Agentic AI systems and integrating AI capabilities into enterprise workflowsUnderstanding of Generative AI and LLM-based capabilities, including prompt/template configuration, structured outputs, and appropriate enterprise use casesExperience integrating analytical solutions with enterprise applications, APIs, and downstream systemsUnderstanding of model governance, data quality, lineage, documentation, explainability, and responsible AI practicesExperience with Git-based development, including branching, pull requests, code reviews, and version controlFamiliarity with Azure DevOps and CI/CD practices for deploying and maintaining analytical solutionsExperience supporting data science or AI capabilities in a production environmentStrong analytical, problem-solving, and communication skills with the ability to communicate technical concepts to both technical and business stakeholdersPreferred Qualifications:Experience supporting sales, customer analytics, pricing, lead generation, recommendation, or next-best-action solutionsExperience with Microsoft Azure and Azure-based data or AI servicesFamiliarity with workflow orchestration technologies such as Azure Data Factory, Airflow, or similar toolsExperience building solutions in highly regulated or rules-driven enterprise environmentsExperience within the energy, utilities, retail energy, or another highly regulated industryFamiliarity with Agile software development and product delivery practicesExperience mentoring junior data scientists or providing technical leadership across a data science teamResponsibilitiesDesign, develop, and maintain data science, machine learning, and analytical capabilities supporting the Modern Sales platform.Partner with sales, product, and technical stakeholders to translate business opportunities and sales processes into analytical use cases and technical solutions.Develop scalable Python-based analytical and decisioning workflows using PySpark, Pandas, and Databricks.Build and enhance predictive models, scoring methodologies, recommendation capabilities, segmentation approaches, and other data-driven solutions that improve sales decision-making.Translate complex business rules and domain logic into maintainable, testable, and production-ready analytical components.Integrate AI and LLM capabilities into Modern Sales workflows when appropriate while ensuring solutions meet enterprise standards for security, reliability, and responsible AI.Establish and maintain standards for model governance, validation, monitoring, documentation, data quality, and analytical consistency across the Modern Sales program.Monitor production models and analytical solutions for performance, accuracy, data drift, anomalies, and other issues that could impact business outcomes.Partner with data engineering and full-stack development teams to integrate analytical capabilities into customer-facing and internal sales applications.Participate in Git-based development, code reviews, testing, CI/CD processes, and production deployments.Troubleshoot production issues involving models, analytical pipelines, data quality, business logic, or application integrations.Identify opportunities to improve existing models, analytical processes, and decisioning capabilities as the Modern Sales platform expands across markets.Support testing, validation, releases, and post-production activities for new Modern Sales capabilities.Create and maintain technical documentation covering models, methodologies, assumptions, dependencies, business rules, and production support procedures.Provide technical guidance and mentorship to junior data science and engineering resources supporting the program.Collaborate across product, sales, data engineering, software engineering, and business teams to ensure Modern Sales capabilities are scalable, governed, and aligned with business objectives.What’s in it for you?A welcoming, collaborative team environment where you will be provided an opportunity to work with the nation’s largest producer of carbon-free energy, getting exposed to next generation energy sources and new technologies while contributing to their overarching mission of transitioning to a carbon-free future through innovative clean energy solutions.Eight Eleven group offers Health, Dental and Vision benefits, weekly pay, holiday paid time off and sick leave.Eight Eleven Group provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, national origin, age, sex, citizenship, disability, genetic information, gender, sexual orientation, gender identity, marital status, amnesty or status as a covered veteran in accordance with applicable federal, state, and local laws.","company":"Brooksource","rawCompany":"brooksource","city":"Denver","state":"CO","isRemote":false,"isActive":false,"createdAt":"2026-09-01T08:22:46.300Z","occupations":[{"code":"15-2051.00","title":"Data Scientists","slug":"data-scientists"},{"code":"15-1243.01","title":"Data Warehousing Specialists","slug":"data-warehousing-specialists"},{"code":"41-3091.00","title":"Sales Representatives of Services, Except Advertising, Insurance, Financial Services, and Travel","slug":"sales-representatives-of-services-except-advertising-insurance-financial-services-and-travel"}],"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":"541511","title":"Custom Computer Programming 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Modern Sales is a strategic transformation program focused on modernizing the energy sales process through advanced analytics, data-driven decisioning, and AI-enabled technology. The platform enables sales teams to leverage customer, market, and operational data to improve decision-making, identify opportunities, and deliver more effective customer interactions.As the Modern Sales platform continues to scale across markets, the Senior Data Scientist will play a critical role in the development, enhancement, governance, and production support of the analytical and AI capabilities that power the platform. This individual will work closely with business stakeholders, data engineers, software developers, and technical leadership to translate complex sales requirements into scalable analytical solutions and ensure models and decisioning capabilities remain accurate, reliable, explainable, and production ready. This is a hands-on senior-level role requiring strong expertise in Python, Databricks, data science, machine learning, and production analytical systems. The ideal candidate will be comfortable operating beyond traditional model development and taking ownership of solutions throughout their lifecycle, including requirements definition, development, validation, deployment, monitoring, governance, and continuous improvement.Requirements:Bachelor's Degree in Data Science, Computer Science, Statistics, Mathematics, Engineering, Information Technology, or a related field; OR equivalent professional experience5+ years of professional experience in data science, machine learning, advanced analytics, or a related technical disciplineStrong hands-on experience developing production-grade solutions using PythonAdvanced experience with PySpark and Pandas for large-scale data processing and analytical workflowsHands-on experience working within Databricks or a comparable enterprise data and analytics platformExperience designing, developing, and deploying machine learning models, predictive analytics, scoring models, or decisioning solutionsStrong understanding of feature engineering, model evaluation, validation, optimization, and performance monitoringExperience translating complex business requirements and rules into scalable analytical or decisioning solutionsExperience working with AI-enabled or Agentic AI systems and integrating AI capabilities into enterprise workflowsUnderstanding of Generative AI and LLM-based capabilities, including prompt/template configuration, structured outputs, and appropriate enterprise use casesExperience integrating analytical solutions with enterprise applications, APIs, and downstream systemsUnderstanding of model governance, data quality, lineage, documentation, explainability, and responsible AI practicesExperience with Git-based development, including branching, pull requests, code reviews, and version controlFamiliarity with Azure DevOps and CI/CD practices for deploying and maintaining analytical solutionsExperience supporting data science or AI capabilities in a production environmentStrong analytical, problem-solving, and communication skills with the ability to communicate technical concepts to both technical and business stakeholdersPreferred Qualifications:Experience supporting sales, customer analytics, pricing, lead generation, recommendation, or next-best-action solutionsExperience with Microsoft Azure and Azure-based data or AI servicesFamiliarity with workflow orchestration technologies such as Azure Data Factory, Airflow, or similar toolsExperience building solutions in highly regulated or rules-driven enterprise environmentsExperience within the energy, utilities, retail energy, or another highly regulated industryFamiliarity with Agile software development and product delivery practicesExperience mentoring junior data scientists or providing technical leadership across a data science teamResponsibilitiesDesign, develop, and maintain data science, machine learning, and analytical capabilities supporting the Modern Sales platform.Partner with sales, product, and technical stakeholders to translate business opportunities and sales processes into analytical use cases and technical solutions.Develop scalable Python-based analytical and decisioning workflows using PySpark, Pandas, and Databricks.Build and enhance predictive models, scoring methodologies, recommendation capabilities, segmentation approaches, and other data-driven solutions that improve sales decision-making.Translate complex business rules and domain logic into maintainable, testable, and production-ready analytical components.Integrate AI and LLM capabilities into Modern Sales workflows when appropriate while ensuring solutions meet enterprise standards for security, reliability, and responsible AI.Establish and maintain standards for model governance, validation, monitoring, documentation, data quality, and analytical consistency across the Modern Sales program.Monitor production models and analytical solutions for performance, accuracy, data drift, anomalies, and other issues that could impact business outcomes.Partner with data engineering and full-stack development teams to integrate analytical capabilities into customer-facing and internal sales applications.Participate in Git-based development, code reviews, testing, CI/CD processes, and production deployments.Troubleshoot production issues involving models, analytical pipelines, data quality, business logic, or application integrations.Identify opportunities to improve existing models, analytical processes, and decisioning capabilities as the Modern Sales platform expands across markets.Support testing, validation, releases, and post-production activities for new Modern Sales capabilities.Create and maintain technical documentation covering models, methodologies, assumptions, dependencies, business rules, and production support procedures.Provide technical guidance and mentorship to junior data science and engineering resources supporting the program.Collaborate across product, sales, data engineering, software engineering, and business teams to ensure Modern Sales capabilities are scalable, governed, and aligned with business objectives.What’s in it for you?A welcoming, collaborative team environment where you will be provided an opportunity to work with the nation’s largest producer of carbon-free energy, getting exposed to next generation energy sources and new technologies while contributing to their overarching mission of transitioning to a carbon-free future through innovative clean energy solutions.Eight Eleven group offers Health, Dental and Vision benefits, weekly pay, holiday paid time off and sick leave.Eight Eleven Group provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, national origin, age, sex, citizenship, disability, genetic information, gender, sexual orientation, gender identity, marital status, amnesty or status as a covered veteran in accordance with applicable federal, state, and local laws.","datePosted":"2026-09-01T08:22:46.300Z","dateModified":"2026-09-01T08:22:46.300Z","hiringOrganization":{"@type":"Organization","name":"Brooksource","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Denver","addressRegion":"CO","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"ee3d926f06ffee66d2aa4c1a"},"url":"https://jobsearcher.com/jobs/ee3d926f06ffee66d2aa4c1a"}}