Data & Analytics (D&A) Developer II Job ID: 2985

Due to nuclear site access/or export-controlled project requirements, this role requires candidates to be U.S. Citizens and not hold dual citizenship. Candidates must also be willing to work on W2. Hiring: Data Scientist (Operations & Strategy )Location: Greenville, SC (Hybrid )Payrate: $50/h rRequired Technical Skill sMust Hav • ePython (Pandas, NumPy, Scikit-learn, SciPy • )Machine Learnin • gStatistical Analysi • sSQ • LData Exploration & Data Cleanin • gData Integratio • nForecasting & Predictive Analytic • sScenario Planning & What-If Analysi • sLarge Language Models (LLMs • )Prompt Engineerin • gDashboard & Data Visualizatio • nETL/Data Pipeline • sData Modelin • gBusiness Intelligenc • eAI/ML Model Developmen tNice to Hav • eTensorFlow or PyTorc • hMLflow / MLOp • sAzure, AWS, or GC • PPrimavera P6 or Microsoft Projec • tSAP, Salesforce, Databrick • sPower B • IData Governanc • eRAG (Retrieval-Augmented Generation • )Unit Testing (PyTest ) Job Descripti onWe are seeking a highly motivated Data Scientist to join our Operations & Strategy team. In this role, you will leverage advanced analytics, machine learning, and AI technologies to transform enterprise data into actionable business insights. You will collaborate with business stakeholders, engineering teams, and data engineers to develop predictive models, optimize operational performance, and support strategic decision-makin g.This position offers an exciting opportunity to work on enterprise-scale datasets, build AI-powered solutions, and contribute to innovative data-driven initiative s. Key Responsibilit • iesAnalyze large datasets from multiple enterprise systems to identify trends, patterns, and business opportuniti • es.Develop machine learning models for forecasting, predictive analytics, and scenario planni • ng.Design and implement data pipelines for automated reporting and model deployme • nt.Build scenario planning models to evaluate business assumptions and "what-if" analys • es.Perform statistical analysis and validate model performance using industry best practic • es.Work with cross-functional teams to define data requirements and improve data quali • ty.Utilize Large Language Models (LLMs) and prompt engineering to develop AI-powered business solutio • ns.Create executive dashboards and performance reports that support operational decision-maki • ng.Review existing dashboards, SQL queries, and analytical models to identify enhancement opportuniti • es.Collaborate with data engineers to improve enterprise data infrastructure and reporting capabiliti • es.Document analytical processes, model methodologies, and technical findin • gs.Present complex analytical insights to both technical and non-technical stakeholde rs. Qualificat • ionsBachelor's or Master's degree in Data Science, Computer Science, Statistics, Mathematics, Engineering, or a related fi • eld.Strong experience with Python for data analysis and machine learn • ing.Solid understanding of SQL, statistical modeling, and predictive analyt • ics.Experience working with large enterprise datas • ets.Knowledge of machine learning frameworks and model evaluation techniq • ues.Experience with data visualization and dashboard developm • ent.Strong analytical, problem-solving, and communication ski • lls.Ability to work collaboratively with cross-functional teams in a dynamic environm • ent.Passion for AI, data science, and continuous learn ing. Preferred Exper • ienceExperience with cloud platforms (Azure, AWS, or • GCP).Familiarity with enterprise systems such as SAP, Salesforce, Databricks, or similar platf • orms.Knowledge of Primavera P6 or project management sys • tems.Experience with MLOps, model deployment, and experiment trac • king.Exposure to advanced AI applications, including Retrieval-Augmented Generation ( RAG).