Member Of Technical Staff, Data Scientist (AI)

TL;DR

Member Of Technical Staff, Data Scientist (AI): Driving insights for hirify.global Copilot, developing metrics for usage and quality with an accent on statistical analysis, machine learning, experiments, and data mining. Focus on architecting solutions, instrumentation, and measurement approaches to evaluate new feature performance through experimentation.

Location: Starting January 26, 2026, MAI employees are expected to work from a designated hirify.global office at least four days a week if they live within 50 miles (U.S.) or 25 miles (non-U.S., country-specific) of that location. This expectation is subject to local law and may vary by jurisdiction.

Salary: The typical base pay range for this role across the U.S. is USD $119,800 – $274,800 per year.

Company

hirify.global’s mission is to empower every person and every organization on the planet to achieve more.

What you will do

• Develop metrics for Copilot usage and quality.
• Drive product insights and track metrics to support hirify.global Copilot.
• Drive new ways of instrumentation and measurement approach to evaluate new feature performance through experimentation.
• Enable A|B experimentation for new features.
• Analyze large volumes of telemetry data using various algorithms and tools.
• Articulate insights and communicate to influence leadership and key decision makers.

Requirements

• Doctorate in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 1+ year(s) data-science experience OR Master’s Degree in Data Science or related field AND 3+ years data-science experience OR Bachelor’s Degree in Data Science or related field AND 5+ years data-science experience OR equivalent experience.
• Proficiency in using one or more programming or scripting languages like Python, R, C# to work with data.
• Demonstrated interpersonal skills and ability to work closely with cross-functional teams while clearly communicating complex technical concepts to both technical and non-technical stakeholders.

Nice to have

• Experience with prompt engineering and using LLMs.
• Experience building data pipelines to support analytics and experiment scenarios.
• Experience working on product analytics to drive product improvements.
• 1+ years of experience in leveraging complex data, applied data science, developing sophisticated algorithms, executing large-scale A/B testing, and possessing extensive product knowledge.

Culture & Benefits

• Employees come together with a growth mindset, innovate to empower others, and collaborate to realize shared goals.
• Build on values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond.