Omm2937J

Omm IT Solutions; Woodlawn (MD); On-site; USD 120,000 - 180,000; Full time

Job summary

Omm IT Solutions in Woodlawn, MD is seeking a Senior Data Scientist for a 100% onsite role at client HQ. You will apply NLP, ML, and Generative AI to real-world data, develop scalable pipelines, and deliver actionable insights.

Responsibilities include building NLP/LLM models, deploying cloud-native solutions on AWS, and collaborating with data engineers to solve complex monitoring problems. A strong background in Python, SQL, and Spark is required, with eligibility for US public trust clearance.

Qualifications

• Master’s degree with 10+ years of IT/data science experience.
• Extensive experience with NLP, ML/LLM, and AI/ML engineering.
• Ability to obtain and maintain US public trust clearance.

Responsibilities

• Develop, test, and deploy NLP/LLM techniques and tools.
• Train and optimize NLP/LLM models and create Python pipelines.
• Build scalable cloud-native data solutions on AWS.
• Analyze trends in transactional data to derive insights.
• Collaborate with data engineers and analysts to close gaps.

Skills

NLP

Python

SQL

Pandas

NLTK

SpaCy

LLMs

Generative AI

Spark

Airflow

MLOps

Git

Education

Master's degree in Statistics or Computer Science

10+ years IT/Data Science experience

Bachelor's degree in related field

Tools

AWS

Azure ML

PostgreSQL/MySQL

Hadoop

Git

Airflow

Spark

Jupyter

Job description

Omm IT Solutions | Permanent W-2 Employee / Corp2Corp Contractor

Senior Data Scientist

Woodlawn, United States | Posted on 07/29/2026

• Job Type Permanent W-2 Employee / Corp2Corp Contractor
• Compensation Negotiable
• State/Province Maryland
• Country United States
• Work Authorization No Visa Sponsorship Provided. Green Card EAD can also apply
• Background Check/Public Trust Clearance US Public Trust Clearance
• Job Opening ID Omm2937J

Job Description

PLEASENOTE:

• Itis 100% onsite position in Woodlawn, MD.
• Candidate should be local and ready to work on onsite 5 days a week at Client HQ in Woodlawn, MD.
• Candidatemust be able to obtain and maintain a public trust clearance
• Interviews will be scheduled quickly for early next week. There will only be one round of interview

PositionDescription:

• Hands on experience in Python, NLPframeworks, SQL, Pandas, NLTK, SPACy and LLMs
  
• Well versed in SQL and analyzing trends andtransactional data.
  
• Understand real world challenges and developautomated data solutions
  
• Develop, test, and deploy new techniques forNLP understanding
  
• Scalable development/deployment of ML andGenerative AI approaches (such as Large Language Models (LLMs)
  
• Train and optimize NLP/LLM models and createPython based pipelines
  
• Experience building cloud native solutions onAWS
  
• Determine the nature of analytic problems,evaluate options, and offer recommendations for resolution.
  
• Advise on the methods and data needed and/oravailable to evaluate the (intelligence or data) problem.
  
• Collaborate with data collectors and analyststo identify and close gaps on complex monitoring problems.
  
• Provide accurate, timely, complex, andsophisticated data analysis.
  

KeyRequired Skills:

• Solid Experience with Natural LanguageProcessing (NLP), Python, NLP frameworks, SQL, Pandas, NLTK and SPACy.
  
• Experience with Generative AI and LargeLanguage Models (LLM)
  

Requirements

SkillsRequirements:

BasicQualification:

• Master's and 10+ years of experience,Bachelor's and 12+ years of experience or 18+ years in lieu of a degree
• Bachelor’s degree in Statistics, AppliedMathematics, Computer Science, or Information Science with industry experienceon Python, NLP frameworks, SQL, Pandas, NLTK and SPACy, data science, andAI/ML/LLM engineering.
• Overall 10+ years’ experience in IT industry

RequiredSkills:

• Solid Experience with Natural LanguageProcessing (NLP), Python, NLP frameworks, SQL, Pandas, NLTK and SPACy.
• Experience with Generative AI and LargeLanguage Models (LLM)
• Evidence of true self-starter and operatingindependently.
• Fluency in Python Programming, versioncontrol and collaboration with GIT, standard Python packages (ex. Pandas,numpy, matplotlib) and ML frameworks
• Knowledge of TensorFlow, PyTorch, Pandas,scikit-learn, NLTK, Azure ML (optional), Amazon Web Services EC2.
• Experience with scalable data engineeringframeworks such as Apache Spark and orchestration frameworks such as Airflow,and/or experience with semantic search.
• Expert knowledge in conducting data analysisand applying advanced statistical concepts and ML methods to build, train,test, and evaluate a variety of supervised and unsupervised analytic models.
• Experience with ML model deployment andoperations like DevOps, MLOps, LLMOps.
• Experience with NLP and Generative AIlibraries like regular expressions (e.g., spacy, langchain), text annotationtools and semantic frameworks.
• Ability to clean and process large amounts ofreal-world data.
• Experience retrieving and manipulating datafrom a variety of data sources included DB2, Oracle, SQL Server, Hadoop andflat files.
• Experience with database management systems(e.g., PostgresSQL, MySQL, SQLite, SQL, etc.)
• Excellent analytical skills to identifypotential risks and propose effective solutions.
• Excellent problem-solving skills, ability tocollaborate with cross-functional teams and proven communication in written andverbal formats to various audiences to include executive leadership.
• Prior experience with federal or stategovernments IT projects.
• Industry experience preferred
• Experience with, or the ability andwillingness to learn distributed processing via the Hadoop ecosystem, i.e.,Spark, Impala and Hive.
• Experience working in an analytical researchenvironment.
• Experience in parallel processing such as GPUprogramming with CUDA
• Experience with Mathematica
• Experience using markup languages such asLaTeX, HTML, etc.
• Experience with Natural Language Processingfor anomaly detection .
  

Education/Work Experience

Master's and 10+ years of experience, Bachelor's and 12+ years of experience or 18+ years in lieu of a degreeBachelor’s degree in Statistics, Applied Mathematics, Computer Science, or Information Science with industry experience on Python, NLP frameworks, SQL, Pandas, NLTK and SPACy, data science, and AI/ML/LLM engineering.Overall 10+ years’ experience in IT industry