Data Scientist - Senior

Description

Looking for an opportunity to make an impact? 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. Everything we do is built on a commitment to do the right thing for our customers, our people, and our community. Our Mission, Vision, and Values guide the way we do business. If this sounds like the kind of environment where you can thrive, keep reading!

The Opportunity

Are you ready to shape the future of global security? The Leidos Intelligence Sector is seeking a highly motivated Data Scientist for USCYBERCOM J2 to conduct advanced data analytics, data engineering, data mining, exploratory and predictive analysis, and statistical analysis in support of informed analytic and operational decision-making.

What You'll Be Doing

• Carry out data analytics, data engineering, data mining, exploratory analysis, predictive analysis, and statistical analysis to uncover insights and enable data-driven decisions.
• Employ 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.

Needed Experience, Skills, And Education

• Minimum 12 years of experience related to the specific labor category with at least a portion of the experience within the last 2 years.
• Master’s degree in an area related to the labor category from a college or university accredited by an agency recognized by the U.S. Department of Education; or have Bachelor’s degree related to the labor category from a college or university accredited by an agency recognized by the U.S. Department of Education and an additional 5 years of related senior experience, for a total of 17 years, as a substitute to the Master’s degree.
• Proficiency in data visualization and graphical applications, such as Microsoft Office (Power BI), Tableau, or equivalent tools.
• Experience with data science programming languages, such as R and Python.
• Advanced skills in managing, merging, and analyzing disparate data sources, preferably through R, Python, or SQL.
• Demonstrated expertise in applying statistical analysis, data mining algorithms, and machine learning to large, multi-source intelligence datasets.
• Prior experience supporting Joint operations across multiple warfighting domains.
• Deep familiarity with USCYBERCOM organizational structure and mission.

Preferred Experience, Skills, And Education

• 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.

Contract Status

Proposal Phase/Contingent Upon Award.

Security Clearance

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

Pay Range

$116,350.00 - $210,325.00

About Leidos

All qualified applicants will receive consideration for employment without regard to sex, race, ethnicity, age, national origin, citizenship, religion, physical or mental disability, medical condition, genetic information, pregnancy, family structure, marital status, ancestry, domestic partner status, sexual orientation, gender identity or expression, veteran or military status, or any other basis prohibited by law. Leidos will also consider for employment qualified applicants with criminal histories consistent with relevant laws.

Securing Your Data

Beware of fake employment opportunities using Leidos' name. Leidos will never ask you to provide payment-related information during any part of the employment application process (i.e., ask you for money), nor will Leidos ever advance money as part of the hiring process (i.e., send you a check or money order before doing any work). Further, Leidos will only communicate with you through emails that are generated by the Leidos.com automated system – never from free commercial services (e.g., Gmail, Yahoo, Hotmail) or via WhatsApp, Telegram, etc. If you received an email purporting to be from Leidos that asks for payment-related information or any other personal information (e.g., about you or your previous employer), and you are concerned about its legitimacy, please make us aware immediately by emailing us at LeidosCareersFraud@leidos.com. If you believe you are the victim of a scam, contact your local law enforcement and report the incident to the U.S. Federal Trade Commission.