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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