{"schemaVersion":"jobsearcher.job.v1","id":"9c487b7cba721b9272f7790f","url":"https://jobsearcher.com/jobs/9c487b7cba721b9272f7790f","canonicalUrl":"https://jobsearcher.com/jobs/9c487b7cba721b9272f7790f","title":"Data & Analytics Developer","description":"CLIENT HIGHLIGHT\nThe client you'll be supporting is a Fortune 500 global leader in energy technology, focused on helping the world produce cleaner, more reliable power. Their teams design and improve the systems that keep homes, businesses, and communities running, from gas and wind turbines to the electrical grids that connect them. This is a chance to be part of a company that's driving innovation, supporting sustainability, and shaping the future of energy.\n\nLOCATION\nGreenville, South Carolina, 29615\n\nCOMPENSATION\n$47-53 per hour, full benefits offered\n\nSCHEDULE\nHybrid; local candidates\nStandard Hours: 40 hours per week\n\nCONTRACT TERM\n1 year with high likelihood of extension or conversion\n\nPOSITION OVERVIEW\nThe Data & Analytics (D&A) Developer II / Data Scientist supports the HDPE Operations & Strategy team, serving as the bridge between engineering domain knowledge, business operations, and IT execution. This role defines data requirements, builds AI/ML and scenario-planning models, and delivers harmonized insights and reporting to business stakeholders worldwide. Responsibilities: Analyze data across enterprise systems (SAP, Salesforce, Databricks, Power BI); develop and validate machine learning models for forecasting and scenario planning; build and maintain Python-based data pipelines; track project execution through P6 and other project systems; reverse-engineer existing dashboards and SQL logic; and translate technical findings into actionable business insights.\n\nRESPONSIBILITIES\nData Analysis & Intelligence\nAnalyze data from multiple enterprise systems (SAP, Salesforce, Databricks, Power BI, labor and finance systems) to identify patterns, gaps, and improvement opportunities\nWork with Program Managers and Operations leaders to define relevant data assets and specify how data should be accessed, interpreted, and used\nTransform large structured/unstructured datasets (100k+ rows) into actionable insights\nConduct data quality checks and resolve data defects across enterprise platforms\nAI/ML Model Development & Deployment\nDevelop and validate machine learning models supporting demand forecasting and scenario modeling\nDocument analytical findings, model performance, and data definitions for transparency and reproducibility\nBuild and maintain Python-based data pipelines for ETL, model training, and automated forecasting workflows in collaboration with Data Engineers\nTranslate business data challenges into concrete data science and AI/ML problem statements\nLeverage LLMs and prompt engineering to build tools that augment decision-making and automate workflows\nScenario Planning & Project Execution Analytics\nDesign and execute scenario planning models to test business assumptions and evaluate what-if outcomes\nTrack project execution data across P6 (Primavera) and other systems, linking planning assumptions to actual performance\nSupport variance analysis between planned assumptions and actual execution to identify gaps and trends\nBuild automated tracking solutions monitoring assumption validity through project lifecycle stages\nCollaborate with Program Managers to refine planning assumptions based on execution learnings\nProvide data pipelines and data to build executive dashboards visualizing assumption-to-execution alignment\nExisting Data Ecosystem & Optimization\nReview existing dashboards, models, and data pipelines to understand design patterns and data flows\nRead and interpret SQL queries and business logic embedded in current reports and analytical systems\nIdentify opportunities to optimize or consolidate existing reporting and modeling assets\nMaintain consistency with established data standards and best practices\nBusiness Stakeholder Collaboration & Continuous Improvement\nTranslate complex data findings and model outputs into clear, actionable insights for technical and non-technical audiences\nSupport centralized, KPI-based reporting solutions for business stakeholders across global business lines\nCollaborate with Data Analysts and Data Engineers to ensure data requirements are implemented correctly at the pipeline and infrastructure level\nStay current with AI, ML, and data science advancements, proposing new approaches to enhance solutions\nREQUIREMENTS\nBachelor's degree in Data Science, Computer Science, Engineering, or related field.\nStrong proficiency in Python (pandas, numpy, scikit-learn, scipy) and SQL.\nExperience with statistical modeling, scenario/what-if analysis, and model validation.\nFamiliarity with enterprise data systems (SAP, Salesforce, Databricks) and LLM/prompt engineering concepts.\nStrong communication skills and ability to work across international, multicultural teams.","company":"Wcl Group","rawCompany":"wcl group","city":"Greenville","state":"SC","isRemote":false,"isActive":false,"createdAt":"2026-08-19T21:23:43.611Z","occupations":[{"code":"15-2051.00","title":"Data Scientists","slug":"data-scientists"},{"code":"15-1243.01","title":"Data Warehousing Specialists","slug":"data-warehousing-specialists"},{"code":"15-1252.00","title":"Software Developers","slug":"software-developers"}],"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 Services","slug":"custom-computer-programming-services"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Data & Analytics Developer","description":"CLIENT HIGHLIGHT\nThe client you'll be supporting is a Fortune 500 global leader in energy technology, focused on helping the world produce cleaner, more reliable power. Their teams design and improve the systems that keep homes, businesses, and communities running, from gas and wind turbines to the electrical grids that connect them. This is a chance to be part of a company that's driving innovation, supporting sustainability, and shaping the future of energy.\n\nLOCATION\nGreenville, South Carolina, 29615\n\nCOMPENSATION\n$47-53 per hour, full benefits offered\n\nSCHEDULE\nHybrid; local candidates\nStandard Hours: 40 hours per week\n\nCONTRACT TERM\n1 year with high likelihood of extension or conversion\n\nPOSITION OVERVIEW\nThe Data & Analytics (D&A) Developer II / Data Scientist supports the HDPE Operations & Strategy team, serving as the bridge between engineering domain knowledge, business operations, and IT execution. This role defines data requirements, builds AI/ML and scenario-planning models, and delivers harmonized insights and reporting to business stakeholders worldwide. Responsibilities: Analyze data across enterprise systems (SAP, Salesforce, Databricks, Power BI); develop and validate machine learning models for forecasting and scenario planning; build and maintain Python-based data pipelines; track project execution through P6 and other project systems; reverse-engineer existing dashboards and SQL logic; and translate technical findings into actionable business insights.\n\nRESPONSIBILITIES\nData Analysis & Intelligence\nAnalyze data from multiple enterprise systems (SAP, Salesforce, Databricks, Power BI, labor and finance systems) to identify patterns, gaps, and improvement opportunities\nWork with Program Managers and Operations leaders to define relevant data assets and specify how data should be accessed, interpreted, and used\nTransform large structured/unstructured datasets (100k+ rows) into actionable insights\nConduct data quality checks and resolve data defects across enterprise platforms\nAI/ML Model Development & Deployment\nDevelop and validate machine learning models supporting demand forecasting and scenario modeling\nDocument analytical findings, model performance, and data definitions for transparency and reproducibility\nBuild and maintain Python-based data pipelines for ETL, model training, and automated forecasting workflows in collaboration with Data Engineers\nTranslate business data challenges into concrete data science and AI/ML problem statements\nLeverage LLMs and prompt engineering to build tools that augment decision-making and automate workflows\nScenario Planning & Project Execution Analytics\nDesign and execute scenario planning models to test business assumptions and evaluate what-if outcomes\nTrack project execution data across P6 (Primavera) and other systems, linking planning assumptions to actual performance\nSupport variance analysis between planned assumptions and actual execution to identify gaps and trends\nBuild automated tracking solutions monitoring assumption validity through project lifecycle stages\nCollaborate with Program Managers to refine planning assumptions based on execution learnings\nProvide data pipelines and data to build executive dashboards visualizing assumption-to-execution alignment\nExisting Data Ecosystem & Optimization\nReview existing dashboards, models, and data pipelines to understand design patterns and data flows\nRead and interpret SQL queries and business logic embedded in current reports and analytical systems\nIdentify opportunities to optimize or consolidate existing reporting and modeling assets\nMaintain consistency with established data standards and best practices\nBusiness Stakeholder Collaboration & Continuous Improvement\nTranslate complex data findings and model outputs into clear, actionable insights for technical and non-technical audiences\nSupport centralized, KPI-based reporting solutions for business stakeholders across global business lines\nCollaborate with Data Analysts and Data Engineers to ensure data requirements are implemented correctly at the pipeline and infrastructure level\nStay current with AI, ML, and data science advancements, proposing new approaches to enhance solutions\nREQUIREMENTS\nBachelor's degree in Data Science, Computer Science, Engineering, or related field.\nStrong proficiency in Python (pandas, numpy, scikit-learn, scipy) and SQL.\nExperience with statistical modeling, scenario/what-if analysis, and model validation.\nFamiliarity with enterprise data systems (SAP, Salesforce, Databricks) and LLM/prompt engineering concepts.\nStrong communication skills and ability to work across international, multicultural teams.","datePosted":"2026-08-19T21:23:43.611Z","dateModified":"2026-08-19T21:23:43.611Z","hiringOrganization":{"@type":"Organization","name":"Wcl Group","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Greenville","addressRegion":"SC","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"9c487b7cba721b9272f7790f"},"url":"https://jobsearcher.com/jobs/9c487b7cba721b9272f7790f"}}