Principal Data Scientist (AI)

TL;DR

Principal Data Scientist (AI): Leading the development and evaluation of offline search metrics for Bing with an accent on data-driven insights through rigorous offline analyses. Focus on shaping product strategy, driving innovation in offline metric development, and enabling data-informed decision-making at the highest levels.

Location: Must live within a 50- mile commute of a designated hirify.global office in the U.S. or 25-mile commute of a non-U.S., country-specific location and work from the office at least four days per week.

Salary: USD $139,900 – $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

• Sample large datasets from search log repositories using BigData Map-Reduce frameworks and distributed data platforms.
• Architect and implement scalable data processing and analysis pipelines for offline metric computation.
• Formulate, test, and validate hypotheses regarding search result quality using statistical methods and machine learning models.
• Design labeling protocols and manage trained crowd judges and auditors for data annotation and validation of search results.
• Develop and deliver custom reports, visualizations, and presentations to communicate insights and recommendations to senior leadership.

Requirements

• Doctorate in Data Science, Mathematics, Statistics, or related field AND 5+ years data-science experience OR Master’s Degree AND 7+ years experience OR Bachelor’s Degree AND 10+ years data science experience OR equivalent experience.
• Extensive experience in Information Retrieval, including designing, evaluating, and optimizing search and ranking algorithms.
• Demonstrated ability to develop and validate metrics for Information Retrieval systems.
• Expertise in crowdscience methodologies, including designing and running large-scale crowdsourcing experiments for data annotation and model evaluation.
• Proven track record in architecting and deploying large-scale data pipelines for real-time and batch processing of heterogeneous data sources.
• Ability to lead cross-functional teams and mentor junior scientists in best practices for data science and machine learning.

Nice to have

• Ability to work independently, solid collaboration and communication skills.
• Familiarity with Python, T-SQL, (HTML/JS for dashboarding).

Culture & Benefits

• Foster a culture of inclusion, growth, and innovation, built on values of respect, integrity, and accountability.
• Passionate about driving meaningful impact, solving complex problems, and contributing to a growing organization.