Senior Data Scientist

PLEASE APPLY ONLY IF YOU MEET THE BELOW REQUIREMENTS.. Senior Data Scientist - Immediate Hir eLocation: Woodlawn, MD (Onsite – 5 Days/Week) - Candidates willing to relocate and work onsite are welcome to appl yClearance Requirement: Selected candidate must be able to obtain and maintain a Public Trust Clearance . Work Authorization & Additional Requiremen • tsSelected candidate must be able to obtain and maintain a Public Trust Clearanc • e.Selected candidate must be willing to work onsite in Woodlawn, MD, five (5) days per wee • k.We are considering only W2 or 1099 candidates for this position. Candidates represented through third-party employers/vendors on C2C will not be considere • d.Candidates must possess a valid U.S. government-issued REAL ID-compliant driver's license or an acceptable REAL ID-compliant identification document, as identity verification is required for this Federal projec t. Position Overv iewWe are seeking an experienced Senior Data Scientist with strong expertise in Natural Language Processing (NLP), Machine Learning, Generative AI, and Large Language Models (LLMs). The ideal candidate will have extensive hands-on experience developing scalable AI/ML solutions using Python and modern NLP frameworks while working with large, real-world datase ts.This role requires a highly motivated self-starter who can independently analyze complex business problems, build intelligent data solutions, collaborate with cross-functional teams, and deploy cloud-native AI applications on A WS. Key Responsibili • tiesDesign, develop, test, and deploy NLP and Machine Learning solutions using Pyt • hon.Develop scalable Generative AI and Large Language Model (LLM) applicati • ons.Train, fine-tune, optimize, and evaluate NLP and LLM mod • els.Build robust Python-based data processing and inference pipeli • nes.Analyze large transactional and structured datasets using SQL and Pyt • hon.Understand real-world business challenges and develop automated data-driven soluti • ons.Develop cloud-native AI/ML solutions on • AWS.Implement scalable ML pipelines and model deployment using MLOps/LLMOps best practi • ces.Perform advanced statistical analysis and build supervised and unsupervised machine learning mod • els.Retrieve, clean, transform, and process large volumes of data from multiple enterprise data sour • ces.Collaborate with analysts, engineers, and stakeholders to identify data gaps and recommend effective soluti • ons.Present analytical findings and technical recommendations to leadership and business stakehold • ers.Maintain source code using Git and follow software development best practi ces. Required Qualifica • tionsMaster's degree with 10+ years of experience, Bachelor's degree with 12+ years of experience, or 18+ years of relevant experience in lieu of a de • gree.Overall 10+ years of IT industry experi • ence.Bachelor's or Master's degree in Computer Science, Information Science, Statistics, Applied Mathematics, Data Science, or a related f ield. Required Technical SkillsProgramming & Data An • alysis • Pyt • honSQL • Panda • sNumPyMatp • lot libGitNatural Language Proc • essingNatural Language Processing • (NL • P)NLT • KspaCyRegular Expre • ssionsText Annotation • ToolsSemantic Fram eworksAI / Machine Le • arningGenerat • ive AILarge Language Models • (LLMs)Tens • orFlowP • yTorchScikit • -learnSupervised & Unsupervised Machine Le • arningModel Training, Evaluation & Optimi zationML Depl • oymen • tMLOps • LLMOps • DevOpsPython Pip elinesCloud & Data Engin • eeringAmazon Web Services • (AWS)Amaz • on EC2Apache • SparkApache A • irflowSemantic SearchDat • abasesSQL • Server • Ora • cleDB2Post • greSQ • LMySQL • SQLite • HadoopFlat Files Required Soft • SkillsExcellent verbal and written communication • skills.Strong analytical and problem-solving abi • lities.Ability to work independently with minimal super • vision.Strong collaboration skills with cross-functional • teams.Ability to analyze complex datasets and provide actionable recommend • ations.Experience communicating technical findings to executive lead ership. Preferred Qualif • icationsExperience supporting Federal or State Government IT p • rojects.Industry experience in Data Science or Artificial Intel • ligence.Experience with the Hadoop ecosystem, including Spark, Hive, and • Impala.Experience working in an analytical research envi • ronment.Experience with GPU programming usi • ng CUDA.Experience with Math • ematica.Experience using markup languages such as HTML an • d LaTeX.Experience applying NLP techniques for anomaly de • tection.Experience with A zure ML.