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Senior Data Scientist

Job in Baltimore, Anne Arundel County, Maryland, 21276, USA
Listing for: ETHOS - Talent & Advisory
Full Time position
Listed on 2026-07-26
Job specializations:
  • IT/Tech
    Machine Learning/ ML Engineer, Data Scientist, AI Engineer (Applied/Software), Data Analyst
Salary/Wage Range or Industry Benchmark: 180000 - 260000 USD Yearly USD 180000.00 260000.00 YEAR
Job Description & How to Apply Below

This is a hands-on senior role for a data scientist who lives at the intersection of NLP, LLMs, and real-world data problems. You won’t just build models you’ll design pipelines, shape the analytic approach, and translate complex findings for technical and executive audiences alike. If you’re excited about applying Generative AI to meaningful, large-scale challenges, this is worth a look.

WHAT YOU’LL DO

  • Develop, train, and optimize NLP and LLM models; build Python-based pipelines for scalable deployment
  • Design and deploy ML and Generative AI solutions in cloud-native environments (AWS)
  • Analyze complex transactional and trend data using SQL, Pandas, and related tools
  • Identify analytic problems, evaluate solution options, and deliver clear recommendations
  • Collaborate with data collectors and analysts to close gaps on complex monitoring challenges
  • Build, test, and evaluate supervised and unsupervised models using advanced statistical methods
  • Clean and process large volumes of real-world data from diverse sources (DB2, Oracle, SQL Server, Hadoop, flat files)
  • Communicate findings and analytic insights to cross-functional teams and executive leadership

WHAT YOU BRING

  • 10+ years of experience in the IT industry; BS in Statistics, Applied Mathematics, Computer Science, or Information Science (or equivalent)
  • Deep expertise in NLP — spaCy, NLTK, Lang Chain, and related frameworks
  • Strong Python fluency:
    Pandas, Num Py, Matplotlib, and standard ML frameworks
  • Experience with ML model deployment and operations — Dev Ops, MLOps, LLMOps
  • Hands-on experience with Tensor Flow, PyTorch, and/or scikit-learn
  • Experience with scalable data engineering tools such as Apache Spark and orchestration frameworks like Airflow
  • Solid database skills across PostgreSQL, MySQL, SQL Server, or similar
  • Proven self-starter — comfortable operating independently and driving work forward without close supervision

STRONG PLUS

  • Prior experience on federal or state government IT projects
  • Experience with GPU programming (CUDA) or distributed processing via Hadoop (Spark, Impala, Hive)
  • NLP applied to anomaly detection
  • Experience with semantic search frameworks
  • Familiarity with Mathematica or markup languages such as LaTeX or HTML
  • Background in analytical research environments
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Position Requirements
10+ Years work experience
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