Senior Data Scientist (AI)

TL;DR

Senior Data Scientist (ML/Python): Developing machine learning applications and scalable data pipelines to optimize test delivery and security with an accent on ML model implementation, data engineering, and executive insights. Focus on building production-ready datasets, designing APIs for predictions, and improving team productivity through Agile and DevOps practices.

Location: Remote (USA). Must be authorized to work in the United States

Salary: $144,000–$173,000

Company

hirify.global is a mission-driven non-profit dedicated to expanding educational and career opportunities through standardized testing and digital learning tools.

What you will do

• Design and implement high-quality software using the latest cloud and machine learning technologies.
• Develop and independently manage small to medium-sized ML applications and data analyses.
• Build and maintain scalable data pipelines to transform operational data into production-ready datasets.
• Create intuitive data visualizations and communicate advanced analysis results to executive leadership.
• Develop APIs and data stores to make ML predictions and analyses accessible to other systems.
• Enhance team productivity and quality by improving tools, processes, and code structure within an Agile framework.

Requirements

• Master’s degree in a quantitative discipline/Computer Science OR a Bachelor’s with 7+ years of related experience.
• Programming expertise in Python and pandas, with advanced SQL skills.
• Proven experience developing Machine Learning (ML) and Deep Learning (DL) solutions for real-world problems.
• Experience working with both SQL and NoSQL databases.
• Knowledge of CI/CD, DevOps, Agile, and Serverless/Microservices cloud platforms (AWS, Azure, or GCP).
• Must be authorized to work in the United States for any employer.

Nice to have

• Proficiency in Microsoft Suite tools.

Culture & Benefits

• Supportive, tight-knit team environment with a focus on collaboration and celebrating accomplishments.
• Fair and competitive compensation adjusted by location and market data.
• Mission-driven work environment focused on educational impact and continuous growth.
• Flexible work arrangement with options for full remote or hybrid setups for those near offices.

Hiring process

• Application review and recruiter phone/video screen.
• Hiring manager interview and a live coding performance exercise.
• Panel interview, leadership conversation, and reference checks.