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Job Details

Leidos

Leidos

http://www.Leidos.com

Data Scientist

Technology

Data Scientist

No

Reston, Virginia, United States

Description

Job Description:

The Intelligence Group at Leidos is currently seeking a Data Scientist for our Reston, VA location. The successful candidate will have experience in statistical analysis, data ingestion / processing, and experience with methods / analytics development, to support our customer’s data analytics program. You will work as part of a team to support the verification and validation of computer assisted product development and to present the results to the customer.

Primary Responsibilities:

  • Collaborate with data scientists and analytic methodologists to develop and automate analytics and analytic methods programmatically in Python, R or similar.

  • Build and train multilevel regression models

  • Conduct sensitivity analysis to find key parameters

  • Build and deploy visualizations to present analytic results

  • Contribute to customer analytic products as designated

Required qualifications:

  • Master’s degree in Statistics, Mathematics, Data Analytics, Computer Science, or similar relevant field with 6+ years of related experience or Bachelor’s degree with 8+. Certifications and/or additional qualifications or experience will be considered.

  • Demonstrated experience with at least one programming language such as Python or R

  • Demonstrated experience with general data science packages such as Pandas, NumPy, and SciPy or equivalent R packages

  • Strong coordination and collaboration skills

  • Candidate must possess an active TS/SCI with polygraph.

Preferred Qualifications:

  • Demonstrated experience with visualization technologies such as Tableau, Bokeh, matplotlib, or similar

Pay Range:

Pay Range $94,250.00 - $145,000.00 - $195,750.00

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.

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