Data Scientist

LeidosReston, VA

About The Position

At Leidos, we deliver innovative solutions through the efforts of our diverse and talented people who are dedicated to our customers’ success. We empower our teams, contribute to our communities, and operate sustainably. Leidos Intelligence Sector is seeking a fully cleared Data Scientist who possesses a strong understanding of various data complexities and has experience managing data backlogs, analyzing the data, and recognizing anomalies. We’re looking for someone who is forward leaning and able to work in a high-visibility environment. Data management skills and a familiarity with data policy and procedures are necessary. In this role you will work in a unit which provides data management support for a large, high-visibility Area Of Responsibility (AOR). Our client requires support in all aspects of the data management lifecycle, with a focus on advancing data management tasks, tracking data lifecycle processes, and implementation of the client’s rules and regulations. While the client’s project manager will manage priorities, you will work closely and coordinate with other units.

Requirements

  • Active TS/SCI with Polygraph security clearance
  • Bachelor’s degree and at least 4+ years of experience
  • Demonstrated experience using required processes to move data between systems or networks
  • Demonstrated experience cataloging datasets
  • Demonstrated experience working independently and as a team
  • Demonstrated experience communicating with officers at multiple levels of seniority, including technical and non-technical officers
  • Demonstrated experience understanding and communicating information about data, including data characterizations such as type, size, and other metadata
  • Demonstrated experience collaborating with programmers, engineers, and organizational leaders to identify opportunities for process improvements, recommend system modifications, and develop policies for data governance
  • Demonstrated experience using graphs, infographics and other methods to visualize data
  • Demonstrated experience developing presentations and reports based on recommendations and findings for internal teams and external clients

Nice To Haves

  • Demonstrated experience working through required processes to move data between systems or networks at the client’s organization
  • Demonstrated experience working with the client’s enterprise data catalog
  • Demonstrated experience working with data and information with unique security concerns
  • Demonstrated experience applying organizational skills to complex projects
  • Demonstrated experience working through required processes to move data between the client organization and other organizations
  • Experience conducting full lifecycle analysis to include requirements, activities and design
  • Experience creating appropriate documentation for stakeholders to effectively communicate trends, patterns, and predictions using relevant data

Responsibilities

  • Perform duties both independently and within a team environment
  • Utilize your skills in metadata and data management, to include; cataloging, data ingestion, and data sharing
  • Utilize your strong interpersonal skills to work with other units
  • Identify and catalog datasets relevant to the AOR and track datasets through their lifecycle, cataloging datasets and records of varying volume, content, and structure following client requirements, standard operations procedures, and best practices
  • Provide ad hoc reports from the data catalog on specific topics requested by client
  • Monitor data submissions and track through the ingestion lifecycle
  • Coordinate with the client and system teams to troubleshoot data management and ingestion issues
  • Provide support and advice to the client for data submissions
  • Create and/or support the creation of workflows, visuals, and briefing materials for presentations as requested by the client
  • Participate in regular meetings under the direction of the client
  • Coordinate with the client to adjust data management priorities as needed
  • Provide support to the client’s organization for data sharing with other organizations
  • Support the client’s data compliance objectives by monitoring, tracking, and updating email groups and the training status of stakeholders
  • Coordinate with the client to ensure all data handling decisions are tracked in enterprise data catalog

Benefits

  • competitive compensation
  • Health and Wellness programs
  • Income Protection
  • Paid Leave
  • Retirement
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