Senior Principal Data Scientist

2 weeks ago

Beavercreek, Ohio, United States Apex Systems Full time

Job Summary:

We are seeking a highly skilled Senior Principal Data Scientist to join our team at Apex Systems. As a key member of our data science team, you will be responsible for supporting the collection, storage, processing, and analysis of data across the National Space Intelligence Center (NSIC) at Wright Patterson Air Force Base, OH.

Key Responsibilities:

  • Aid in assessing the current state of data management within NSIC, identifying existing data assets, systems, and processes, and developing a comprehensive understanding of data needs, challenges, and opportunities.
  • Provide recommendations for robust data infrastructure and architecture to support the collection, storage, processing, and analysis of data across NSIC, identifying modern technologies such as cloud computing, big data platforms, and analytics tools to enable scalable and efficient data management.
  • Implement a comprehensive data lifecycle management framework that encompasses data acquisition, ingestion, storage, processing, analysis, sharing, and disposal, ensuring compliance with regulatory requirements and best practices throughout the data lifecycle.
  • Establish mechanisms for ensuring data quality and integrity across disparate data sources within NSIC, implementing data integration solutions to enable seamless interoperability and information exchange between different systems and organizations.
  • Leverage advanced analytics techniques such as machine learning, artificial intelligence, and data visualization to derive actionable insights from NSIC-produced data.
  • Identify training programs and capacity building initiatives to empower NSIC personnel with the knowledge and skills required for effective data management.

Requirements:

  • Bachelor's degree in a STEM discipline with 9 years of relevant experience; Master's degree in a STEM discipline with 7 years of relevant experience; PhD in a related field with 4 years of relevant experience.
  • Understanding of IC data requirements and challenges.
  • Ability to align data initiatives with the DoD's strategic goals and IC mission objectives.
  • Knowledge of data lifecycle management, including data governance, data quality, and data security.
  • Understanding of data architecture frameworks and the ability to design scalable, secure, and efficient data systems.
  • Familiarity with cloud platforms (e.g. AWS, Azure, Google Cloud) and cloud-based data storage and processing.
  • Proficiency with databases (SQL, NoSQL) and data warehousing solutions.
  • Experience with data visualization tools (e.g. Tableau, Power BI) to present data insights effectively.
  • An active Top-Secret clearance with SCI.

Preferred Qualifications:

  • Product Lifecycle experience.
  • Proficient using query languages such as SQL.
  • Experience mentoring and leading peers in data science projects.
  • Strong applied statistics skills, such as distributions, statistical testing, regression, etc.
  • JMP proficiency (SAS statistical tool) and experience scripting in JSL.
  • MATLAB experience.

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