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Associate Data Scientist (5682)

MetroStar

Quantico (VA)

On-site

USD 60,000 - 100,000

Full time

30+ days ago

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Job summary

Join a forward-thinking company as an Associate Data Scientist, where you'll harness the power of AI and ML to develop innovative data-driven solutions. In this entry-level role, you'll engage in data mining, cleaning, and analysis, collaborating with teams to unlock insights from diverse data sources. With a focus on professional growth and a commitment to employee well-being, this organization values its people and offers a supportive environment to thrive. If you're passionate about leveraging technology to make impactful decisions and have a foundational knowledge of programming languages like Python and R, this opportunity is perfect for you.

Benefits

Generous benefits package
Professional growth opportunities
Valuable time to recharge

Qualifications

  • 0-2 years experience in open-source programming for large scale data analysis.
  • Active DoD Secret security clearance or ability to obtain one.

Responsibilities

  • Perform data mining, cleaning, and aggregation processes.
  • Interpret results from structured and unstructured data sources.

Skills

Python
R
Scala
Natural Language Processing
Deep Learning
Java
C++

Education

Bachelor’s Degree in Computer Science

Tools

Statistical Analysis Tools
Data Mining Tools

Job description

As Associate Data Scientist, you’ll develop AI / ML models utilizing system, network, audit, user logs, help desk records, and system configuration details to support proactive monitoring and effective decisions.

We know that you can’t have great technology services without amazing people. At MetroStar, we are obsessed with our people and have led a two-decade legacy of building the best and brightest teams. Because we know our future relies on our deep understanding and relentless focus on our people, we live by our mission: A passion for our people. Value for our customers.

If you think you can see yourself delivering our mission and pursuing our goals with us, then check out the job description below!

What you’ll do:

  • Performs data mining, cleaning, and aggregation processes to prepare data, implement data models, conduct analysis, and develop databases.
  • Interprets results from multiple structured and unstructured data sources using programming, statistical, and analytical techniques and tools.
  • Collaborates with teams to understand each data analysis project's underlying purpose, focus, and objectives.
  • Designs, develops, and implements the most valuable data-driven solutions for the organization.

What you’ll need to succeed:

  • An active DoD Secret security clearance or the ability to obtain one.
  • Bachelor’s Degree in Computer Science or related field
  • 0 - 2 years of experience in open-source programming languages for large scale data analysis such as Python, R, and Scala
  • Experience with Natural Language Processing.
  • Experience training & deploying Deep Learning models.
  • Proficiency in Python, Java, Scala, or C++

Like we said, we are big fans of our people. That’s why we offer a generous benefits package, professional growth, and valuable time to recharge. Learn more about our company culture code and benefits. Plus, check out our accolades.

Commitment to Non-Discrimination: All qualified applicants will receive consideration for employment based on merit and without regard to sex, race, ethnicity, age, national origin, citizenship, religion, physical or mental disability, medical condition, genetic information, pregnancy, family structure, marital status, ancestry, domestic partner status, sexual orientation, gender identity or expression, veteran or military status, status as a protected veteran, or any other status protected by applicable federal, state, local, or international law.

What we want you to know: In compliance with federal law, all persons hired will be required to verify identity and eligibility to work in the United States and to complete the required employment eligibility verification form upon hire.

Seniority level
  • Entry level
Employment type
  • Full-time
Job function
  • Engineering and Information Technology
  • Technology, Information and Internet
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