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Jobs by Experience drjobs

3-5years

Job Location drjobs

Chantilly - USA

Monthly Salary drjobs

Not Disclosed

drjobs

Salary Not Disclosed

Job Description

  • *Due to the nature of work performed, U.S. citizenship is required.

  • *Security Clearance: Active TS/SCI CI Poly is required at the time of hire.


  • As a Data Scientist, you will work directly with clients, managers, and technical staff to understand business needs, develop technical plans, and deliver data-driven analytical solutions that solve client problems. You will primarily create and deploy predictive models from a wide variety of data sources and types using the latest mathematical and statistical methods.


Essential Functions:

  • Exploration, cleaning, and wrangling data

  • Work with clients and co-workers to refine understanding of the business problem at hand

  • Writing reusable code in R, Python, Java, Scala, SQL, or other languages to refine through code review and discussion.

  • Applying statistics to understand the significance of different attributes.



Requirements

  • BS or MS in Operation Research, Industrial Engineering, Applied Mathematics, Statistics, Physics, Computer Science, or related fields.

  • Must be a US Citizen with ability to undergo and obtain further Government background checks and/or clearance.

  • 3+ years of experience in a Data Science role.

  • Proficient in one or more: Java, C++, Python, R.

  • Experience applying Data Science methods to real-world problems.

  • Experience with data wrangling, advanced statistical data analysis, and modeling.

  • Ability to communicate complex models and concepts in non-technical language.

  • Familiarity with commercial and open-source data science software.

  • Familiarity with relational databases.

  • Security+ certified.



Benefits

  • Health Insurance

  • Dental and Vision Insurance

  • Life Insurance

  • Paid Time Off

  • Employee Assistance Program

  • & More



Database engineering and management activities associated with high volume, multi-format data management services. Designs large-scale data management solutions including developing efficient storage, indexing, and access approaches. Updates data enterprise architecture models (if needed) and data abstraction layer to enable access to new data sources. Designs and implements indexing strategies for ingested data. Designs and implements storage and indexing strategies across the multiple repositories to provide efficient storage and retrieval. Supports design and development of data access APIs.

Employment Type

Full Time

Company Industry

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