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Omm

Job in Woodlawn, Prince George's County, Maryland, USA
Listing for: Omm IT Solutions
Full Time position
Listed on 2026-10-08
Job specializations:
  • IT/Tech
    Data Analyst, Machine Learning/ ML Engineer, AI Engineer (Applied/Software), Data Scientist
Salary/Wage Range or Industry Benchmark: 120000 - 180000 USD Yearly USD 120000.00 180000.00 YEAR
Job Description & How to Apply Below

Omm IT Solutions | Permanent W-2 Employee / Corp2

Corp Contractor

Senior Data Scientist

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

  • Job Type Permanent W-2 Employee / Corp2

    Corp 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 J
Job Description

PLEASE

NOTE:

  • 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.
  • Candidate must 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

Position

Description:

  • Hands on experience in Python, NLPframeworks, SQL, Pandas, NLTK, SPACy and LLMs
  • Well versed in SQL and analyzing trends and transactional data.
  • Understand real world challenges and develop automated data solutions
  • Develop, test, and deploy new techniques forNLP understanding
  • Scalable development/deployment of ML and Generative AI approaches (such as Large Language Models (LLMs)
  • Train and optimize NLP/LLM models and create

    Python 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/or available to evaluate the (intelligence or data) problem.
  • Collaborate with data collectors and analysts to identify and close gaps on complex monitoring problems.
  • Provide accurate, timely, complex, and sophisticated data analysis.

Key

Required Skills:

  • Solid

    Experience with Natural Language Processing (NLP), Python, NLP frameworks, SQL, Pandas, NLTK and SPACy.
  • Experience with Generative AI and Large Language Models (LLM)
Requirements

Skills Requirements:

Basic

Qualification:

  • 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, Applied Mathematics, Computer Science, or Information Science with industry experience on Python, NLP frameworks, SQL, Pandas, NLTK and SPACy, data science, andAI/ML/LLM engineering.
  • Overall 10+ years’ experience in IT industry

Required Skills:

  • Solid Experience with Natural Language Processing (NLP), Python, NLP frameworks, SQL, Pandas, NLTK and SPACy.
  • Experience with Generative AI and Large Language Models (LLM)
  • Evidence of true self-starter and operating independently.
  • Fluency in Python Programming, version control and collaboration with GIT, standard Python packages (ex. Pandas,numpy, matplotlib) and ML frameworks
  • Knowledge of Tensor Flow, PyTorch, Pandas,scikit-learn, NLTK, Azure ML (optional), Amazon Web Services EC2.
  • Experience with scalable data engineering frameworks such as Apache Spark and orchestration frameworks such as Airflow,and/or experience with semantic search.
  • Expert knowledge in conducting data analysis and 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 and operations like Dev Ops, MLOps, LLMOps.
  • Experience with NLP and Generative AI libraries like regular expressions (e.g., spacy, langchain), text annotation tools 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 identify potential risks and propose effective solutions.
  • Excellent problem-solving skills, ability to collaborate with cross-functional teams and…
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