Senior Data Scientist

Job Description

Position: Senior Data Scientist

Location: Bethesda, Maryland

Clearance: TS/SCI CI POLY

Job Description: Our great client is seeking an experienced hands-on Senior Data Scientist to join our team within a dynamic setting located in the Bethesda, Maryland area. As a Senior Data Scientist, you will play a critical role in shaping our client’s enterprise architecture and driving cloud and data-related initiatives across the client’s organization. Your responsibilities will span multiple areas, including strategic planning, cross-domain services, data security, data compliance, data integrity, AI, and cloud platforms, to enhance our customer’s cloud and data ecosystem.

• Enterprise Architecture:
  Contribute to the design and evolution of our client’s enterprise cloud and data architecture, ensuring interoperability, security, and alignment with business goals.
• Strategic Thinking:
  Develop data and cloud strategies that consider long-term implications, anticipating future needs and trends.
• Collaboration:
  
  Collaborate with teams across different domains (e.g., CIO, CDO, Security) to drive data integration initiatives and foster a data-driven culture.
• Data Security and Compliance:
  Analyze current and recommend data security practices, including data transiting between differing security level enclaves, to ensure compliance with relevant regulations.
• Data Integrity:
  Analyze current and recommend data structure, tagging, and quality standards, and means to discover and address anomalies in data/data patterns.
• Multi-Cloud Environment:
  Recommend solutions to analyze data across multiple cloud platforms (e.g., AWS, Azure, Google Cloud) for optimizing storage, compute, and analytics.
• AI Integration:
  Recommend ways to leverage AI and machine learning techniques to extract insights, automate processes, and enhance decision-making.
• New Data Sources from AI:
  Explore data generated by AI models and recommend ways to manage and integrate them into our client’s data ecosystem.
• Data Tagging and Taxonomy:
  Analyze current and recommend data tagging standards, enabling efficient data discovery and governance.
• Data Mesh:
  Champion the data mesh paradigm, promoting decentralized data ownership and self-serve analytics.
• API Brokers:
  Collaborate with the client’s service providers for identity, credentialing, and access management to establish/enhance and manage data access permissions.
• Compute and Storage Optimization:
  Analyze and recommend ways to optimize compute resources and storage solutions for efficient data processing.
• Qualitative Computing:
  Recommend methods to integrate qualitative insights by understanding the context and nuances of the data.

• TS/SCI with CI Poly
• Typically requires BS degree and 12-15 years of prior relevant experience or Masters with 10-13 years of prior relevant experience to operate within the scope contemplated by the level; additional years of experience can be considered in lieu of BS degree. May possess a Doctorate in technical domain.
• Proven experience as a Data Scientist, with a focus on complex data environments
• Experience with data visualization tools/software (e.g., Tableau, MS PowerBI) to develop and deliver data analysis solutions and visualizations in support of client’s needs and reporting requirements
• Strong proficiency in data manipulation and analysis.
• Communication skills for technical writing and oral briefings
• Familiarity with cloud platforms (AWS, Azure, GCP, etc.) and big data technologies
• Excellent communication skills, with the ability to translate technical insights into actionable recommendations
• Passion for staying up to date with industry trends and advancements

• Master’s or Ph.D. in a relevant field (e.g., Computer Science, Statistics, Data Science)
• Five or more years of experience working with or in the Intelligence Community (IC)
• Experience producing executive-level products
• Knowledge of and experience working with IC policies, directives, and standards