Data Scientist - AI Startup

  • Location

    District of Columbia

  • Sector:

  • Job type:

    Temporary

  • Salary:

    US$150000.00 - US$225000 per annum

  • Contact:

    Christian Wady

  • Contact email:

    c.wady@ioassociates.com

  • Job ref:

    BBBH141395_1724684178

  • Startdate:

    ASAP

A leading innovator in AI-powered defense and global security is seeking a Data Scientist with a deep understanding of Artificial Intelligence, Machine Learning, and Natural Language Processing. Their advanced platform is transforming decision-making processes, offering strategic, operational, and tactical advantages with actionable insights throughout the defense lifecycle.

Join their vibrant, interdisciplinary team committed to addressing complex global issues.

Job Description:

In this role, you will work closely with our Product team to design and implement robust data pipelines. You will analyze and model extensive datasets to produce clear, actionable analytics. Your responsibilities will include developing quantitative models and ensuring data integrity and quality throughout the process.

Responsibilities:

  • Identify and investigate relevant datasets to develop solutions
  • Curate, assess, and analyze data to extract valuable insights
  • Develop and validate quantitative models while ensuring quality assurance
  • Work with the product team to implement solutions and meet user needs
  • Integrate solutions into broader system architectures to achieve project goals

Qualifications:

  • Active Secret, TS, or TS/SCI clearance
  • Strong academic background in Statistics, Mathematics, Engineering, or a related field (Master's degree preferred)
  • Expertise in Natural Language Processing and Machine Learning engineering
  • Proficiency in Python, especially with Pandas and PyArrow for data handling
  • Experience with database management (e.g., MySQL, Oracle) and large-scale data processing
  • Familiarity with batch processing pipelines in HPC or cloud environments
  • Knowledge of Cloud Computing platforms (AWS, Google Cloud, Azure) is a plus