Conduct statistical analyses on business processes using ML techniques
Train, test, deploy, and maintain ML models
Lead the direction of critical solutions by applying best-fit ML algorithms
Collaborate with AI and ML solution architects, intel analysts, cloud architects, data engineers, and data scientists
Process data at massive scale
Perform A/B testing tasks on ML models and integrated cloud systems
Guide clients through ML algorithms, tools, and frameworks

Requirements

8+ years of experience engineering code in an object-oriented language such as Python, C, C++, Go, Rust, Java, or Haskell
4+ years of experience creating software for retrieving, parsing, and processing structured and unstructured data
3+ years of experience implementing advanced data science, natural language processing, or machine learning models
3+ years of experience coding Dataframes utilizing Pandas, Polars, or PySpark
2+ years of experience designing, developing, operationalizing, and maintaining complex data science applications at enterprise scale
2+ years of experience working with algorithms, machine learning models, or MLOps to produce analytical or visual products
Knowledge of data formats such as JSON, Parquet, Avro, or CSV
Secret clearance
Bachelor's degree in Computer Science or Computer Engineering

Benefits

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

machine learningstatistical analysisobject-oriented programmingPythonCC++GoRustJavaHaskell

Soft Skills

leadershipcollaborationguidance

Certifications

Secret clearance