Warriors Recruiting
Senior Data Scientist
Warriors Recruiting, Bethesda, Maryland, us, 20811
Position: Senior Data ScientistLocation: Bethesda, MarylandClearance: TS/SCI CI POLYJob 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 PolyTypically 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 environmentsExperience 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 requirementsStrong proficiency in data manipulation and analysis.Communication skills for technical writing and oral briefingsFamiliarity with cloud platforms (AWS, Azure, GCP, etc.) and big data technologiesExcellent communication skills, with the ability to translate technical insights into actionable recommendationsPassion for staying up to date with industry trends and advancementsDesired 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 productsKnowledge of and experience working with IC policies, directives, and standards
#J-18808-Ljbffr
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 PolyTypically 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 environmentsExperience 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 requirementsStrong proficiency in data manipulation and analysis.Communication skills for technical writing and oral briefingsFamiliarity with cloud platforms (AWS, Azure, GCP, etc.) and big data technologiesExcellent communication skills, with the ability to translate technical insights into actionable recommendationsPassion for staying up to date with industry trends and advancementsDesired 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 productsKnowledge of and experience working with IC policies, directives, and standards
#J-18808-Ljbffr