Senior Data Scientist (AI)

TL;DR

Senior Data Scientist (AI): Developing advanced machine learning models and algorithms to solve complex global challenges across public and private sectors with an accent on big data analysis, feature engineering, and statistical modeling. Focus on leading technical development, guiding teammates, and translating disparate data points into actionable insights for high-stakes client decision-making.

Location: Must be based in the USA. This role may require occasional in-person work at a Booz Allen or customer facility.

Salary: $99,000–$225,000 (annualized USD).

Company

hirify.global is a global consulting firm providing management and technology services to public and private sector clients.

What you will do

• Lead the development of algorithms and systems to solve complex data-driven problems.
• Collaborate with clients to understand their needs and translate them into technical requirements.
• Analyze large, complex datasets using Python and advanced statistical techniques.
• Guide and mentor teammates on data science best practices and project execution.
• Apply predictive modeling, anomaly detection, and geospatial analysis to real-world challenges.
• Provide deep insights and objective answers to advise clients on informed decision-making.

Requirements

• 5+ years of experience in data science, machine learning, or AI development.
• 5+ years of experience with Python for data analysis and model development.
• 5+ years of experience analyzing big data, feature engineering, and statistical modeling.
• Must hold or be eligible for a Secret security clearance.
• Master's degree in Data Science, Machine Learning, or Computer Science.
• Experience with cloud computing and predictive modeling techniques.

Nice to have

• 5+ years of experience in the defense sector.
• Experience with distributed computing tools like Spark, Hadoop, or Kafka.
• Experience with visualization packages such as Streamlit or Plotly.
• Active TS/SCI clearance.

Culture & Benefits

• Comprehensive health, life, disability, and retirement benefits.
• Paid leave and professional development opportunities.
• Tuition assistance and work-life balance programs.
• Recognition awards program for exceptional performance.
• Collaborative, people-first culture with support for virtual and in-person engagement.