Data Scientist (Citizens Only) at EBusiness International
Alexandria, VA 22311, USA -
Full Time


Start Date

Immediate

Expiry Date

09 Nov, 25

Salary

160000.0

Posted On

10 Aug, 25

Experience

8 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

No

Skills

Mathematics, Data Quality, Python, Strategy, Data Science, Computer Science, Performance Metrics, Leadership Skills, Nlp, Design

Industry

Information Technology/IT

Description

QUALIFICATIONS:

  • 8+ years of professional experience as a Data Scientist (not analyst or engineer)
  • Bachelor’s degree in Mathematics, Data Science, Computer Science, Engineering, or related field.
  • Proven experience in end-to-end development of AI products, from strategy and design to deployment.
  • Strong communication and leadership skills with the ability to engage directly with non-technical federal stakeholders.
  • Deep expertise in Python and AI frameworks like PyTorch, Lang chain, Hugging Face, OpenAI, TensorFlow.
  • Experience with MLOps tools and services such as AWS Bedrock, Sage Maker.
  • Familiarity with embedding models, NLP, chatbot development, summarization, and AIagent workflows
  • Solid understanding of data quality, validation pipelines, and performance metrics
  • Experience with DevOps tools and practices (e.g., Git, automated testing)
    Job Type: Full-time
    Pay: $140,000.00 - $160,000.00 per year

Application Question(s):

  • Do you have any experience in AI frameworks like PyTorch, Langchain, Hugging Face, OpenAI, TensorFlow?
  • Do you have any experience in MLOps tools: AWS Bedrock, Sage Maker?
  • Are you willing to Commute OR Relocate to Alexandria, VA/ Hybrid?
  • Provide valid Email ID? *MUST
  • Expected Salary Range for Full-Time Opportunity?
  • Are you US Citizen?
  • What is the best time to reach you?
  • Do you have an active public trust clearance?

Experience:

  • Senior Data Scientist: 8 years (Preferred)
  • Python: 8 years (Preferred)
  • LLM: 8 years (Preferred)

Work Location: In perso

How To Apply:

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Responsibilities

RESPONSIBILITIES:

  • Architect and deploy production-ready AI/ML solutions aligned with federal AI and data strategies.
  • Collaborate directly with federal clients and cross-functional teams to define needs, road map, and outcomes
  • Lead experimentation with advanced models: LLMs, SLMs,embedding models, AIagents, and agentic workflows.
  • Guide MLOps best practices for model development, training, optimization, and monitoring.
  • Ensure high-quality data readiness and integrity across all phases of the AI lifecycle
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