Demo

Data Scientist (Top Secret)

Spry Methods
Washington, DC Full Time
POSTED ON 1/27/2025
AVAILABLE BEFORE 3/26/2025

Who We’re Looking For (Position Overview):

Spry is seeking a highly skilled and motivated Data Scientist to join our team. The ideal candidate will possess a Top Secret clearance and have extensive experience in designing and building complex data models. The candidate should also have familiarity with machine learning and artificial intelligence to support custom requirements.

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What Your Day-To-Day Looks Like (Position Responsibilities):
  • Design, develop, and maintain complex data models.
  • Develop and implement machine learning and artificial intelligence algorithms to meet custom requirements.
  • Analyze large datasets to extract actionable insights and support decision-making.
  • Collaborate with cross-functional teams to define, design, and implement data-driven solutions.
  • Create and maintain documentation for data models, processes, and algorithms.
  • Stay updated with the latest advancements in data science, machine learning, and AI technologies.
  • Develop data visualizations and dashboards to communicate findings to stakeholders.
  • Ensure data quality and integrity throughout the data lifecycle.
  • Identify and address data-related issues and inconsistencies.


What You Need to Succeed (Minimum Requirements):
  • Active Top Secret (TS) clearance is mandatory.
  • Bachelor's degree in Data Science, Computer Science, Statistics, or a related field.
  • Proven experience as a Data Scientist or similar role.
  • Extensive experience in designing and building complex data models.
  • Familiarity with machine learning and artificial intelligence algorithms and tools.
  • Strong programming skills in Python, R, or similar languages.
  • Experience with data visualization tools such as Tableau, Power BI, or similar.
  • Excellent analytical and problem-solving skills.
  • Strong communication and teamwork abilities.


Ideally, You Also Have (Preferred Qualifications):
  • Experience with big data technologies such as Hadoop, Spark, or similar.
  • Knowledge of cloud platforms (AWS, Azure, or Google Cloud) and their data services.
  • Familiarity with SQL and NoSQL databases.
  • Experience with natural language processing (NLP) and computer vision techniques.
  • Experience with Agile/Scrum methodologies.


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