Agile Defense
BI and Advanced Analytics
DataScientist/Engineer
“Data Scientist / Engineer at Agile Defense. Skills: Data Science, Machine Learning, Data Engineering, Python, SQL. Design AI-enabled data solutions. Develop AI-enabled data solutions”
What You'll Achieve.
Scalable AI-enabled data solutions; Meaningful insights; Decision-support tools
Industry & Context.
Statistical modeling fluency; Hands-on software engineering expertise
Onsite in a SCIF, Security clearance may be required
What They're Looking For.
Must Have
Bachelor's degree plus 3 years of recent specialized experience, Associate's degree plus 7 years of recent specialized experience, Major certification plus 7 years of recent specialized experience, 11 years of recent specialized experience, 4+ years of experience in applied data science, 4+ years of experience in machine learning engineering, 4+ years of experience in data pipeline development, Proficient in Python, Proficient in SQL, Proficient in distributed data frameworks
Nice to Have
Familiarity with MLOps, Familiarity with API development, Familiarity with secure cloud-based environments, Understanding of data validation, Understanding of model testing, Understanding of performance evaluation techniques, Experience with data visualization, Experience with storytelling, Databricks, Palantir, AWS-native data services
What You'll Do.
Design AI-enabled data solutions
Develop AI-enabled data solutions
Deploy AI-enabled data solutions
Integrate analytics into environments
Integrate machine learning into environments
Integrate engineering practices into environments
Deploy data pipelines
Pre-process data workflows
Develop machine learning services
Create decision-support tools
How You'll Work.
Team & Collaboration
Collaborate with product managers; Collaborate with full-stack developers; Collaborate with platform engineers; Collaborate with mission stakeholders
Communication Scope
Technical communication skills; Explain complex concepts
Process & Methodology
Agile environments
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