TL;DR

Principal Applied Scientist (AI): Leading the development and implementation of advanced statistical models and algorithms to analyze complex data sets for a search engine, with an accent on metric definition, statistical analysis, and machine learning. Focus on providing strategic insights, influencing product direction, and fostering best practices in data science.

Location: Hyderabad, India. Starting January 26, 2026, employees are expected to work from the office at least four days per week if living within a 25-mile commute of a designated Microsoft office.

Company

%hirify_global% is dedicated to empowering individuals and organizations by fostering innovation, growth, and inclusion.

What you will do

Lead the development and implementation of advanced statistical models and algorithms to analyze complex data sets.
Collaborate with cross-functional teams to define key metrics and KPIs aligning with product goals.
Provide strategic insights and recommendations based on data analysis to influence product direction.
Uphold data engineering and data science best practices, including new methodologies and technologies.
Mentor and guide junior data scientists, fostering a culture of continuous learning.

Requirements

Bachelor’s Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 10+ years related experience; OR Master’s Degree AND 8+ years; OR Doctorate AND 6+ years.
6+ years of extensive experience in metric definition, statistical analysis, machine learning, and data mining.
Customer-obsessed mindset with the ability to translate needs into data-driven solutions.
Solid problem-solving skills and the ability to think critically and analytically.
Proficiency in programming languages such as Python, R, or SQL.
Excellent communication and presentation skills to convey complex concepts to stakeholders.

Nice to have

Experience in defining metrics to measure the success of large-scale products/services and OKR metrics for large organizations.
Experience in working with Cloud architecture such as Azure.

Culture & Benefits

Empower every person and every organization on the planet to achieve more.
A culture of inclusion built on values of respect, integrity, and accountability.
Growth mindset and collaborative work environment.