Annapolis Junction, Maryland

Description

Job Description:

Are you ready to work on projects that can potentially change the world? Join us at Leidos, where your most important work is ahead! At Leidos we are committed ensuring work life balance. We offer a variety of options for career development (including fully paid continuing education and training) and rewarding your career longevity and progression. Leidos is the employer of choice for the NEXT GENERATION of cyber scientist and analysts. You will enjoy great benefits such as 5 weeks of Paid Time Off, Flexible Schedules, Discounted Stock Purchase Plans, Unlimited Education and Training Support, Pandemic Paid Leave, Parental Paid Leave and more! If this sounds like a place you can thrive, keep reading!

Program Summary The Leidos Intelligence Group has a career opportunity for an experienced scientists, technicians, engineers, and analysts. The FIRST of the Next Generation Analysis Contracts has been awarded. This multi-year contract needs you to fill highly skilled mathematicians, scientists, engineers, planners, collection managers and analysts.

As a Data Scientist, you will enjoy cutting-edge work developing creative solutions to address data analytics challenges, to collect large volumes of data from varying sources, clean and interpret data, create solutions to overcome challenges, and communicate with interested entities. Join a tremendously talented technical team solving hard problems with true mission relevance on emerging technologies.

Primary Responsibilities

+ Employ highly creative solutions to address data analytics challenges to our mission, to collect large volumes of data from varying sources, clean and interpret data, create solutions to overcome challenges, and communicate with interested entities.

+ To succeed in this position; you need to be curious, creative, and tech-savvy. You need to stay up to date with data programming software and apps, have an outstanding understanding of statistics and mathematics and be proficient in writing algorithms. You must be persistent and have excellent analytical and problem-solving skills.

+ Devise strategies for extracting meaning and value from large datasets.

+ Make/communicate principled conclusions from data using mathematics, statistics, computer science, and application specific knowledge.

+ Make informed recommendations regarding competing technical solutions through awareness of the constantly shifting collections, processing, storage and analytic capabilities and limitations.

Required Qualifications

+ Active TS/SCI with polygraph

+ Degree must be in Mathematics, Applied Mathematics, Statistics, Applied Statistics, Machine Learning, Data Science, Operations Research, or Computer Science. A degree in a related field (e.g., Computer Information Systems, Engineering,), a degree in the physical/hard sciences (e.g. physics, chemistry, biology, astronomy), or other science disciplines with a substantial computational component (i.e., behavioral, social, and life) may be considered if it includes a concentration of coursework (typically 5 or more courses) in advanced mathematics (typically 300 level or higher; such as linear algebra, probability and statistics, machine learning) and/or computer science (e.g., algorithms, programming, data structures, data mining, artificial intelligence). College-level Algebra or other math courses intended to meet a basic college level requirement, or upper-level math courses designated as elementary or basic do not count.

+ BS degree and 12 – 15 years of prior relevant experience or Masters with 10 – 13 years of prior relevant experience. May possess a Doctorate in technical domain.

Preferred Qualifications

+ You would really impress us by bringing experience relevant experience in designing/implementing machine learning, data science, advanced analytical algorithms, programming (skill in at least one high-level language (e.g. Python)), statistical analysis (e.g. variability, sampling error, inference, hypothesis testing, EDA, application of linear models), data management (e.g. data cleaning and transformation), data mining, data modeling and assessment, artificial intelligence, and/or software engineering. Experience in more than one area is strongly preferred.

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careers.leidos.com/CONMD

Pay Range:Pay Range $113,100.00 - $174,000.00 - $234,900.00

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.

REQNUMBER: R-00087312

All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or veteran status. Leidos will consider qualified applicants with criminal histories for employment in accordance with relevant Laws. Leidos is an equal opportunity employer/disability/vet.

Annapolis Junction, Maryland

At Leidos, quality performance means two things:

  1. Satisfying our customers by delivering the products and services they need on time and in budget.
  2. Continuously improving our processes so that our work meets requirements and is done right the first time.

Our proprietary EngineeringEdge® solution gives us a consistent, company-wide approach to planning, designing, developing, and delivering solutions that achieve our customers’ goals. Comprehensive and customizable, EngineeringEdge is based on industry standards and best practices from:

  • CMMI®, the CMMI Institute.
  • Project Management, the Project Management Institute.
  • the International Organization for Standardization (ISO®).
  • the International Council on Systems Engineering/INCOSE Corporation.
  • Electronic Industries Alliance.
  • Our four decades experience on a wide range of programs.

Many Leidos organizations have been able to earn coveted CMMI maturity level 3 and higher, as well as ISO 9001 organizational designations.

In addition, we have our own high standards for ethics and performance.
Investors : Employee Code of Conduct

What does this mean to our clients? High quality products and services, developed in an environment committed to continuously improving processes and uncompromising ethics.

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