Training Equipment Data Scientist (AI)

TL;DR

Training Equipment Data Scientist (AI): Developing predictive models and analytical systems for complex data sets with an accent on machine learning, NLP, and IoT integration. Focus on transforming disparate data into actionable insights to solve critical challenges across public and private sectors.

Location: Must be based in the United States (Pensacola, FL). Role may require occasional in-person work at a Booz Allen or customer facility.

Compensation: $77,500–$176,000 (annualized USD).

Company

hirify.global is a global consulting firm providing expertise in analytics, engineering, and technology to solve complex challenges in the public and private sectors.

What you will do

• Analyze structured and unstructured data to solve complex information puzzles.
• Develop predictive models, quantitative analyses, and data visualizations.
• Create algorithms and systems using appropriate tools and frameworks.
• Collaborate with clients to understand their specific data needs and objectives.
• Translate disparate data points into objective answers for informed decision-making.

Requirements

• Bachelor’s degree required.
• 2+ years of experience in data exploration, cleaning, analysis, or mining.
• 2+ years of experience with statistical and general-purpose programming languages.
• Knowledge of Machine Learning, AI, or NLP techniques.
• Experience analyzing both structured and unstructured data sources.
• Must be authorized to work in the United States.

Nice to have

• Master’s degree.
• Experience with R, Python, or SQL/NoSQL.
• Experience with distributed computing tools like Spark, Hadoop, or Kafka.
• Experience with visualization packages such as Plotly or Seaborn.

Culture & Benefits

• Comprehensive health, life, disability, and retirement benefits.
• Paid leave and work-life balance programs.
• Professional development and tuition assistance.
• Recognition awards program for exceptional performance.
• People-first culture prioritizing collaboration and engagement.

Hiring process

• Identity verification process using biometrics and AI.
• Interviews and assessments require being on camera.