Junior Data Scientist: ML Pipelines & MLOps

Location

Texas City

Job Type

FULL_TIME

Experience

Data Engineer

Job Description

seeking a Junior Data Scientist to support the optimization of data products and serve as a critical bridge between model development and production deployment. The role focuses on strengthening data operations through analytics, machine learning, and AI-driven solutions.

This is an excellent opportunity for early-career data professionals to work on impactful public-sector initiatives while gaining exposure to production-level data systems.


Key Responsibilities

  • Analyze and optimize data products to improve performance and usability

  • Support the transition of machine learning models from development to deployment

  • Perform data analysis using Python and SQL to drive operational insights

  • Assist in enhancing data pipelines and workflows using AI and machine learning techniques

  • Collaborate with data scientists, engineers, and stakeholders to support scalable data solutions


Required Qualifications

  • Bachelor degree in Data Science, Computer Science, Statistics, Engineering, or a related field

  • Strong skills in Python for data analysis and modeling

  • Proficiency in SQL for querying and managing datasets

  • Understanding of machine learning and AI concepts

  • Strong analytical and problem-solving abilities


Benefits & Work Environment

  • Comprehensive health insurance coverage

  • Retirement plans and long-term financial benefits

  • Telework opportunities (subject to agency policy)

  • Stable role within a mission-driven federal organization

Additional Details

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