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Data and Applied Scientist - Job Opportunity at Microsoft

Redmond, USA
Full-time
Mid-level
Posted: January 31, 2025
Hybrid
USD 98,300 - 208,800 per year

Benefits

Hybrid work model with flexibility
Comprehensive healthcare benefits (standard for Microsoft)
Professional development opportunities
Global career mobility
Microsoft employee stock purchase plan
Competitive paid time off policy

Key Responsibilities

Design and implement production-ready machine learning and econometric models for Azure infrastructure planning
Develop APIs and data pipelines for model integration
Lead cross-functional collaboration for business solutions
Drive strategic infrastructure planning for Microsoft's AI offerings
Analyze and forecast capacity needs for global cloud infrastructure

Requirements

Education

Bachelor's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field

Experience

2+ years with Bachelor's or 1+ year with Master's or PhD

Required Skills

Statistics Econometrics Machine Learning Python/R Programming API Development Data Analysis Business Intelligence Communication Leadership

Certifications

Microsoft Cloud Background Check clearance
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Sauge AI Market Intelligence

Industry Trends

Cloud infrastructure planning is becoming increasingly complex with the rapid adoption of AI workloads Demand for hybrid cloud expertise is growing as organizations optimize infrastructure costs Infrastructure automation and ML-driven capacity planning are becoming standard practice in major cloud providers Real-time adjustable infrastructure planning is replacing traditional static approaches

Salary Evaluation

The offered range is competitive for the Seattle area tech market, with the upper band reflecting the critical nature of infrastructure planning roles in cloud operations. The range allows for significant experience-based variation and is positioned to attract top talent in a competitive market.

Role Significance

Typically part of a 5-8 person specialized data science team within larger cloud operations organization
Mid to senior-level individual contributor role with significant impact on Microsoft's cloud infrastructure decisions

Key Projects

AI infrastructure capacity forecasting Long-range planning models for global datacenter expansion Cost optimization algorithms for resource allocation Risk modeling for infrastructure investments

Success Factors

Deep understanding of cloud infrastructure economics Ability to translate complex technical concepts to business stakeholders Strong software engineering practices for production ML systems Experience with large-scale distributed systems

Market Demand

Very high demand, driven by cloud providers' race to expand AI infrastructure and optimize existing resources. This role type has seen 40% growth in job postings over the past year.

Important Skills

Critical Skills

Advanced statistics and ML modeling - Essential for accurate capacity forecasting Software engineering - Required for production model deployment Business acumen - Critical for translating technical insights to business decisions Communication skills - Necessary for cross-functional collaboration

Beneficial Skills

Cloud architecture knowledge Supply chain optimization experience Risk modeling expertise Visualization and BI tool proficiency

Unique Aspects

Direct involvement in planning Microsoft's AI infrastructure expansion
Combination of traditional forecasting with emerging AI/ML techniques
Impact on multi-billion dollar infrastructure investments
Access to unique scale of cloud operations data

Career Growth

Typical progression to senior level within 2-3 years, principal level within 4-5 years

Potential Next Roles

Senior Applied Scientist Principal Data Scientist Technical Lead - Infrastructure Planning Cloud Architecture Manager

Company Overview

Microsoft

Microsoft's Cloud Operations + Innovation division is central to the company's cloud-first strategy and manages one of the world's largest cloud infrastructures

Second largest cloud provider globally with rapidly growing market share in enterprise and AI services
Strategic role at company headquarters with global impact across Microsoft's datacenter network
Innovation-driven environment with strong emphasis on data-based decision making and cross-functional collaboration
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