TL;DR

Senior Data Scientist (AI): Innovating and optimizing online A/B experimentation capabilities and methods for Bing and integrated AI experiences with an accent on defining, building, and tracking success metrics for customer satisfaction and retention. Focus on understanding A/B online experiments, user engagement, and developing tools to analyze metric movements for feature teams.

Location: Redmond, United States. Employees who live within a 50-mile commute of a designated Microsoft office in the U.S. are expected to work from the office at least four days per week.

Salary: USD $119,800 – $234,700 per year (U.S. general) or USD $158,400 – $258,000 per year (San Francisco Bay/New York City).

Company

%hirify_global% is empowering every person and every organization on the planet to achieve more by pushing the boundaries of online A/B experimentation and understanding user engagement with search engines and integrated AI experiences.

What you will do

Innovate around methods and capabilities for online A/B experimentation.
Define, build, and track success metrics for Bing customer satisfaction and retention.
Develop strategies for understanding correlations between key Bing metrics and defining overall ship decision criteria.
Understand A/B online experiments and user engagement to produce actionable conclusions.
Develop tools to help analyze the movement of metrics for feature teams.

Requirements

Doctorate with 1+ year, Master’s with 3+ years, or Bachelor’s with 5+ years of data-science experience.
Experience with SQL-like query languages.
Hands-on design and problem-solving skills with one or more programming languages, such as Python, Java, C#, or C++.
Ability to work independently, influence others, and solid communication and collaboration skills.

Nice to have

Doctorate with 3+ years, Master's with 5+ years, or Bachelor's with 7+ years of data-science experience.
Familiarity with search engines and dealing with online instrumentation.
Experience with large datasets and interest in consumer online search behaviors.
Experience with building machine learning models on large scale data.

Culture & Benefits

A culture with a growth mindset, innovation, and collaboration.
Values of respect, integrity, and accountability.
A culture of inclusion where everyone can thrive at work and beyond.
Additional benefits and compensation information available.