Principal Data Scientist

Leidos has a new and exciting opportunity for a Data Scientist in our National Security Sector's (NSS) Cyber & Analytics Business Area (CABA).  Our talented team is at the forefront in Security Engineering, Computer Network Operations (CNO), Mission Software, Analytical Methods and Modeling, Signals Intelligence (SIGINT), and Cryptographic Key Management. At Leidos, we offer competitive benefits, including Paid Time Off, 11 paid Holidays, 401K with a 6% company match and immediate vesting, Flexible Schedules, Discounted Stock Purchase Plans, Technical Upskilling, Education and Training Support, Parental Paid Leave, and much more.  Join us and make a difference in National Security!  

Job Description

Design and develop methods, processes, and systems to extract raw data from Splunk and create reports and dashboards for data usage auditing. This role is primarily focused on Splunk SPL queries, reports, and dashboards with the need for additional processing and augmentation in Python. Strong interpersonal skills are needed as this role is customer facing.

Primary Responsibilities

• Create innovative solutions to meet the technical needs of customers.

• Work with data science teammates and the customer to create or refine recurring reports and ad-hoc reports.

• Development documentation.

• Conduct experimentation in various data science techniques, as well as developing, executing, and maintaining scripts and prototypes to analyze, interpret, visualize, and gain knowledge from numerous data sets individually or in combination to meet customer requirements.

• Proactively coordinate with customers, Scrum PMs, and cross-functional areas to communicate project statuses and initiatives.

• Analyze data to effectively coordinate, innovate, and implement process improvements to include current and new Splunk and Python reports and scripts.

• Communicate key project data to teammates to foster team cohesion and effectiveness and apply best practices and standard operating procedures.

Basic Qualifications

• 7+ years of expert knowledge in Splunk SPL and Splunk Enterprise systems.

• 5+ years of experience with Python, R, VBA or another object-oriented programming language.

• Experience using the statistical computer language Python to manipulate data and draw insights from large data sets.

• Extensive knowledge in one or more data science libraries, such as NumPy, Pandas, OpenPyXL, etc.

• Experience negotiating solutions to complex technical challenges and developing courses of action to resolve those challenges with predictable outcomes.

• Experience leading high-visibility projects that have organization-wide impact.

• Experience working collaboratively with developers and other data scientists.

• Must possess a Bachelor’s degree with 12+ years of relevant experience or a Master’s degree with 6+ years of relevant experience.

• Must have a TS/SCI with polygraph.

Preferred Qualifications

• 2+ years of experience with Visual Basic for Applications

• 5+ years of experience with SQL queries

• 5+ years of experience with MS Access

• Experience with MySQL

• Experience with SharePoint on-prem

• Experience with PowerShell

• Experience with Tableau

At Leidos, the opportunities are boundless. We challenge our staff with interesting assignments that allow them to thrive professionally and personally. For us, helping you grow your career is good business. We look forward to learning more about you – apply today.

CABARESTON

Original Posting:

May 27, 2025

For U.S. Positions: While subject to change based on business needs, Leidos reasonably anticipates that this job requisition will remain open for at least 3 days with an anticipated close date of no earlier than 3 days after the original posting date as listed above.

Pay Range:

Pay Range $126,100.00 - $227,950.00

The Leidos pay range for this job level is a general guideline only and 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.