Data Scientist Senior

What you'll work on

Conduct data analytics, data engineering, data mining, exploratory analysis, predictive analysis, and statistical analysis to uncover insights and enable data-driven decisions. Use scientific methods to transform raw data into actionable narrative products, including graphical, visual, written, and verbal reports tailored for stakeholders. Retrieve, manage, and merge data from disparate sources to build comprehensive and accurate datasets for analysis. Design, develop, and implement ML-based tools and processes, such as recommendation engines, automated lead scoring systems, and predictive analytics solutions. Perform statistical analysis and data mining techniques to identify patterns, trends, correlations, and build high-quality prediction systems supporting mission-critical objectives. Present analytic findings using advanced data visualization tools and graphical applications to intuitively communicate complex information. Document Operating Instructions (OIs) for command-wide programs and initiatives as assigned by the Government. Collaborate with analysts, engineers, and operations personnel to align analytic models and tools with mission requirements and evolving data needs. Stay abreast of advancements in data science, ML/AI technologies, and analytic tools to continuously improve analytic capabilities and workflows.

What we're looking for

*Clearance Needed: Active DoD TS/SCI with Polygraph required. We are not able to sponsor the clearance requirement.

• Deep familiarity with USCYBERCOM organizational structure and mission.
• Prior experience supporting Joint operations across multiple warfighting domains.
• Knowledge of cloud computing deployment models in private, public, and hybrid environment and the difference between on-premises and off-premises environments.
• Knowledge of cloud computing service models Software as Service (SaaS), Infrastructure as a Service (IaaS), and Platform as a Service (PaaS).
• Knowledge of computer networking concepts and protocols, and network security methodologies.
• Knowledge of cyber threats and vulnerabilities.
• Knowledge of cybersecurity principles.
• Knowledge of national and international laws, regulations, policies, and ethics as they relate to cybersecurity.
• Knowledge of risk management processes (e.g., methods for assessing and mitigating risk).
• Knowledge of specific operational impacts of cybersecurity lapses.

If you're looking for comfort, keep scrolling. At Leidos, we outthink, outbuild, and outpace the status quo — because the mission demands it. We're not hiring followers. We're recruiting the ones who disrupt, provoke, and refuse to fail. Step 10 is ancient history. We're already at step 30 — and moving faster than anyone else dares.