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Senior Data Scientist

Technology, Data & Digital · Data, AI & Analytics · Data Science · Machine Learning

In short

This Senior Data Scientist role focuses on optimizing yield for Azure infrastructure through advanced analytics and machine learning. Responsibilities include data analysis, modeling, cross-functional collaboration, and experimentation to inform pricing and resource allocation strategies.

Responsibilities

  • Write efficient code in Python, SQL, KQL, or similar languages to prepare and analyze large-scale datasets.
  • Select, develop, and validate statistical and machine-learning approaches for resource allocation and pricing.
  • Partner with business planning, engineering, product management, and finance teams to define objectives and align yield strategies.
  • Own experiment design and impact measurement for optimization hypotheses.
  • Build causal inference models when randomized experiments are not feasible.
  • Estimate demand elasticity and customer substitution effects.
  • Develop decision-relevant metrics, dashboards, and compelling narratives.
  • Present findings and analytical limitations to technical and executive audiences.
  • Stay current with industry trends in AI, cloud economics, and optimization techniques.
  • Provide mentorship through code reviews, innovation, and sharing best practices.
  • Apply understanding of Azure pricing, cloud economics, and customer workflows.

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 AND 3+ years data-science experience OR Bachelor's Degree AND 5+ years data-science experience OR equivalent experience.

Desired Qualifications

  • Doctorate in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 3+ years data-science experience OR Master's Degree AND 6+ years data-science experience OR Bachelor's Degree AND 8+ years data-science experience OR equivalent experience.
  • Experience with yield or revenue management, pricing optimization, or cloud resource allocation.

Benefits

  • Typical base pay range for this role across the U.S. is USD $119,800 - $234,700 per year.
  • For specific work locations within the San Francisco Bay area and New York City metropolitan area, the base pay range is USD $160,200 - $261,000 per year.
  • Certain roles may be eligible for benefits and other compensation.

Skills

PythonSQLKQLMachine LearningCausal InferenceA/B Testing
#Cloud#AI#Monetization#Data Science#Yield Optimization#Azure#Virtual Machines#Storage#Pricing#Revenue#Capacity#Machine Learning#Causal Inference#A/B Testing#Experimentation
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Company

Microsoft

Job Posted

1 month ago

Employment Type

Full Time

Work mode

Hybrid

Salary

US$119,800–234,700 / year

Experience Level

Senior

Locations

United States

Qualification

Doctoral, Master, Bachelor

Applicants

Be an early applicant