Mission Data Scientist — ML/NLP for National Security

Clarityinnovates

Mildenhall

On-site

GBP 72,000 - 172,000

Full time

14 days+
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Job summary

Clarity Innovations seeks a Data Scientist to join a close-knit team supporting Air Force Special Operations Command at RAF Mildenhall, UK. You will gather insights from complex data, drive ML initiatives, and contribute to digital transformation efforts with impact on mission readiness.

Responsibilities span data analysis, modeling, NLP, RPA, and collaboration with Data Engineers to build scalable data environments.

Qualifications

  • /1+ year hands-on Data Science experience./
  • /Bachelor's Degree in STEM field./
  • /Proficient in one or more programming languages (Java, C++, Python, R, etc.)./
  • /Demonstrated ability to apply data science to solve real-world problems/
  • /Secret Clearance/

Responsibilities

  • Interpret and analyze data using exploratory mathematic and statistical techniques.
  • Coordinate research and analytic activities utilizing various data points and program to clean, massage, and organize the data.
  • Experiment against data points and provide information based on results to uncover solutions for command data challenges.
  • Coordinate with Data Engineers to build data environments providing data identified by other data professionals.
  • Apply and develop scientific methodology, statistics, and algorithms to discover and frame relevant problems, hypotheses, and opportunities.
  • Develop predictive and prescriptive modeling, NLP, RPA, text mining, clustering and forecasting methods.

Skills

Data science
Programming languages
Secret clearance

Education

Bachelor's Degree in STEM
Master's degree (DoD/related)

Tools

Python
R
Java
C++

Job description

Clarity Innovations seeks a Data Scientist to join a close-knit team supporting Air Force Special Operations Command at RAF Mildenhall, UK. You will gather insights from complex data, drive ML initiatives, and contribute to digital transformation efforts with impact on mission readiness.

Responsibilities span data analysis, modeling, NLP, RPA, and collaboration with Data Engineers to build scalable data environments.

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