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Early Career Associate Data Scientist

Frontier Technology Inc.
Norfolk, USA
Full-time
Entry · 1+ years experience
Hybrid
Discovered 3 weeks ago

Full Job Posting

Required

Active Department of Defense (DoD) Secret Clearance

Bachelor's Degree in Data Science , Statistics, Mathematics, Computer Science, Operations Research, or a related field.

1-2 years of practical data science/analytics experience (or a Master ’ s degree with substantive applied research/project experience).

P roficiency in Python or R, or a similar language

Practical experience with analytical and machine learning toolkits, such as Pandas, NumPy, Scikit-learn, SciPy, or related packages.

Foundational understanding of regression analysis, probability distributions, hypothesis testing, and simulation or Bayesian modeling techniques.

Preferred

Ability to develop data visualizations and functional dashboards in Qlik, Tableau, or Python-based visualization packages.

E xposure to Databricks or Apache Spark

What We Are Looking For

Active Department of Defense Secret Clearance.

Master’s degree completed or in progress in Data Science, Statistics, Mathematics, Computer Science, Operations Research, or a related technical field. Current PhD students are strongly encouraged to apply.

Hands on data science or analytics experience gained through graduate research, a capstone project, thesis, internship, research assistantship, or other substantive academic project.

Experience using Python, R, or a similar programming language.

Exposure to machine learning and analytical libraries such as Pandas, NumPy, Scikit learn, SciPy, or related tools.

Foundational knowledge of areas such as regression analysis, probability distributions, hypothesis testing, simulation, Bayesian modeling, machine learning, or predictive analytics.

Additional Experience That Would Be Valuable

Experience does not need to come from a traditional job. Academic projects, research, internships, and capstone work all count.

Exposure to data visualization or dashboard development using Qlik, Tableau, Python based visualization tools, or similar technologies is a plus. Experience with Databricks or Apache Spark is also beneficial.

Why This Opportunity

For someone early in their career, this is an opportunity to move beyond academic exercises and apply data science, machine learning, and AI to meaningful operational problems. You will work alongside experienced technical professionals, gain exposure to real world AI centric solutions, and build experience supporting a mission focused customer.

If you recently completed your Master’s degree, are currently pursuing your PhD, or completed a capstone or research project that aligns with this work, we would like to hear from you.

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