Data Scientist Job at Arena Technical Resources, Bethesda, MD

  • Arena Technical Resources
  • Bethesda, MD

Job Description

Data Scientist

Location: Bethesda, MD, US

Job ID: ATR 18073

Job Description

Job Title: Data Scientist

Job Location: Springfield, VA or St. Louis, MO

Compensation: $170,000 - $190,000

Eligibility/Clearance: Candidate must possess an active TS/SCI clearance

and be willing to obtain a CI Polygraph

Job Description:

  • We are looking for an experienced Data Scientist to join our team.

You will get to join a highly functioning team to develop cutting

edge solutions for complex problems. Your job will be to support the

implementation and maintenance of the data architecture for all

Program Data associated with an R&D program.

  • The R&D program is focused on using Artificial Intelligence/Machine

Learning (AI/ML) algorithms and models, particularly Computer

Vision, applied to Intelligence, Surveillance, and Reconnaissance

(ISR) sensors and platforms for object detection, object tracking,

object classification, and pattern detection. The program involves

developing, testing, fielding, and integrating Computer Vision

models for geospatial data.

  • Build, test, and maintain databases and large-scale, complex data

processing systems

  • Build database tables and schemas

  • Establish data health alerts

  • Setup data pipelines to support Extract, Transform, and Load (ETL)

of GEOINT or sensor data

  • Maintain data backend workflows across various systems

  • Develop workflows to enable API-based movement of data between

platforms

  • Validate new data adheres to specified data schemas, formats, and

governance requirements

  • Populate, manage, and maintain metadata standards for datasets

  • Manipulate and analyze data using Python

  • Build data visualizations, dashboards, or lightweight Web

applications to communicate key insights

  • Other Information:

  • Occasional travel may be required outside of the DC area to support

events or exercises

  • Local travel may be required to attend meetings at government

facilities

  • Surge support may be needed at times to support crisis situations

  • Work is located at CTR facility

  • Work schedule is flexible, but a good amount of team collaboration

is required which generally occurs M-F from 0900-1500 EST and team

members should do their best to be reachable during those core hours

Skills/Qualifications:

Required:

  • Strong background in data architecture and data science

  • Prior experience working with cloud architectures, maintaining SQL

and no-SQL databases, programming APIs, and data version control

management (minimum 4 years’ experience)

  • Scripting ability with Python, JavaScript, or Java (Python most

preferred)

  • Ability to develop, maintain, and monitor operational data pipelines

across multiple data formats and interfaces

  • Strong communication skills that allow you to engage with a variety

of technical and non-technical audiences

  • TS/SCI with CI Poly, but we can consider TS candidates with

eligibility for SCI and CI Polygraph (we can sponsor your SCI and CI

poly if you don't already have them)

  • 15 years of relevant experience and a Bachelor’s degree

  • (substitutions are allowed for different types of degrees, and

many things can be applied towards experience – e.g.,

internships, certifications, professional publications, etc. )

Desired:

  • NGA domain experience is highly preferred – especially with NGA CORE

  • Experience with GEOINT datasets

  • Experience with ATO processes

  • Sufficient knowledge to implement processes, standards, and tools

using SAFe

  • Experience developing dynamic visualizations to monitor

availability, currency and volumetrics of operational data pipelines

Education:

Bachelors Degree in Computer Science or a related field

ATR is an Equal Opportunity Employer (EOE) who will provide equal

employment opportunity to employees and applicants for employment

without regard to race, ethnicity, religion, color, sex, pregnancy,

national origin, age, veteran status, ancestry, sexual orientation,

gender identity or expression, marital status, family structure, genetic

information, or mental or physical disability

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