Data Scientist Senior

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 sustainable. 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. The Data Scientist will employ scientific techniques to correlate complex multi-source data producing graphical written visual and verbal narrative products. This role requires proactively retrieving integrating and analyzing data from a wide variety of internal and external sources and building artificial intelligence (AI) and machine learning (ML) tools that automate processes and enable enhanced mission effectiveness.

Join a team where your greatest work isnt just a sloganits our daily standard.

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.

What youll be doing:

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.

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.

• Masters 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 Bachelors 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 Masters degree. Additional years of experience may be considered in lieu of 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 with Multi-INT analytics ML automated and predictive analytics in a large-scale or defense/intelligence environment.

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

Preferred Experience Skills and Education:

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

Original Posting:

Pay Range:

The Leidos pay range for this job level is a general guideline onlyand not a guarantee of compensation or salary. Additional factors considered in extending an offer include (but are not limited to) responsibilities of the job education experience knowledge skills and abilities as well as internal equity alignment with market data applicable bargaining agreement (if any) or other law.