Data Scientist at Leidos

Description

Looking for a rewarding career challenge?

Unleash your potential at Leidos, we deliver innovative solutions through the efforts of our diverse and talented people who are dedicated to our customer’s 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. With Leidos, you will enjoy competitive benefits such as Paid Time Off, Flexible Schedules, Discounted Stock Purchase Plans, Education and Training Support, Parental Paid Leave, and more!

If this sounds like an environment where you can thrive, keep reading!

Are you ready to join an incredible team? This contract is critical to the government and allows team members to work independently and in a team environment to achieve success. If you are passionate, motivated, and want to be part of an organization that values your contributions, we want to hear from you.

Apply today!

Your greatest work is ahead!

The Leidos National Security Sector uses a wide range of capabilities to support our customers’ mission to defend against evolving threats around the world. Our team’s focus is ensuring our intelligence customers have the right tools, technologies, and tactics to keep pace with an ever-evolving security landscape and succeed in their pursuit to protect people and critical assets. If this sounds like an environment where you can thrive, apply today!

We are looking for a Data Scientist with an entrepreneur’s mindset to support a fast-paced and growing data science team working on projects critical to National Security. The position is located within a classified space in the Northern Virginia area and requires an active TS/SCI with Polygraph security clearance.

The Data Scientist will be expected to build statistical models, test hypotheses, interpret, summarize, visualize, and succinctly report on data findings. The Data Scientist will perform research on various data sources, to include unstructured data using quantitative and qualitative content analytics. The Scientist will construct and perform complex database search queries in multiple databases using SQL and API interfaces. The Scientist will perform web scraping and apply various techniques for processing unstructured data.  The Scientist will leverage automation and machine learning to manage data, predict scenarios and make recommendations. The Data Scientist will contribute to building new analytical tools and packages across the enterprise and will be expected to collaborate with team members in a highly technical environment. The Data Scientist will be expected to learn and leverage emerging technologies including AWS and Git.

Requirement:

• Experience with Python required.
• TS/SCI clearance with polygraph is required.
• Demonstrated experience using supervised and unsupervised learning and natural language processing machine learning techniques required.
• Experience / familiarity with frequentist statistics and probability including predicative modeling.
• Experience working with data manipulation, analytic/business insight tools, and data visualization experience required.
• Experience constructing and performing complex database search queries.
• Experience/ knowledge of computer science concepts, data architecture, and experience/knowledge of statistics.
• Experience with visualizing data using popular packages including Tableau, Plotly, Seaborn and/or Matplotlib required.
• Requires BS degree and 12 – 15 years of prior relevant experience or master’s with 10 – 13 years of prior relevant experience. May possess a Doctorate in technical domain

Original Posting Date:

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:

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.