TL;DR

Senior Applied Scientist (AI): Designing and developing next-generation big data and AI-driven capabilities with an accent on applying advanced statistical modeling, machine learning, and analytics techniques to complex problems. Focus on building intelligent systems that process trillions of records and deliver impactful experiences for millions of users.

Location: Redmond, United States. Employees within a 50-mile commute of a designated Microsoft office in the U.S. (or 25-mile of non-U.S.) are expected to work from the office at least four days per week.

Salary: USD $119,800 – $234,700 per year (Typical U.S. range); USD $158,400 – $258,000 per year (San Francisco Bay area and New York City metropolitan area).

Company

%hirify_global% is redefining what’s possible with data and AI, empowering every person and organization to achieve more.

What you will do

Apply advanced statistical modeling, machine learning, and analytics techniques to tackle complex problems.
Design and analyze experiments to validate hypotheses and measure product impact.
Communicate findings and recommendations to technical and business stakeholders.
Drive projects from concept to production in a fast-paced, dynamic environment.
Experiment, prototype, and evaluate new ideas.

Requirements

Bachelor’s Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 4+ years related experience.
Master’s Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 3+ years related experience.
Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 1+ year(s) related experience.
4+ years of experience in Python/R/Scala or similar technology.
4+ years of experience in data science, analytics, or related areas.
3+ years of experience in applied machine learning and statistical modeling.

Nice to have

5+ years of experience in Python/R/Scala or similar technology.
5+ years of experience in data science, analytics, or related areas.
Experience in structuring unscoped problems, defining success metrics, and driving execution under uncertainty.
Experience moving applied research into shipped product features.
Experience with SQL/R/Python for statistical models, machine learning, and analysis in big data environments.
Experience in large-scale computing systems like Spark, Hadoop, and MapReduce.

Culture & Benefits

Growth mindset, innovation, and collaboration.
Values of respect, integrity, and accountability.
Culture of inclusion where everyone can thrive.
Equal opportunity employer, providing consideration without regard to protected characteristics.
Assistance with religious accommodations or reasonable disability accommodations during the application process.