Senior Data Scientist

3 weeks ago


Bethesda, United States Warriors Recruiting Full time
Job DescriptionJob 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.

Primary Responsibilities:

  • 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.

Required Qualifications:

  • 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

Desired Qualifications/Experience:

  • 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

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