| Microsoft Careers

Microsoft

Hybrid

Quick summary

Work type
Hybrid
Location
Redmond, WA
Salary
$119,800–$234,700 / yr
Posted
41 days ago

Market check

Salary context

Competitive pay

How this pay compares to similar roles

Similar $181k
This role $177k
$106k most similar roles pay here $248k

This role pays more than 59% of similar roles. Most pay $155,000–$207,350 — the shaded band above. At the midpoint, this role pays about $177k versus about $181k for comparable roles.

Based on 238 similar postings.

Employer

About Microsoft

Microsoft Corporation is a global technology leader producing software, hardware, and cloud services including Windows, Office 365, Azure cloud platform, Xbox gaming, and Surface devices. Industry: Software & Cloud Computing

Microsoft currently has 1103 open roles on FindRole.

Listed pay typically runs $119,800–$234,700 across 985 roles with salary data.

Most-posted roles

View all roles at Microsoft

At a glance

TL;DR · | Microsoft Careers

The Senior Data Scientist role at Bing involves working within a team dedicated to understanding user engagement with AI-powered search engines and translating insights into actionable metrics. This data-driven position requires developing accurate forecast models that inform business risks and opportunities, collaborating closely with product, finance, and ads teams to align on goals, and driving deep analysis of key business metrics for growth and risk management. The ideal candidate will have expertise in building forecast models using tools like Prophet and SARIMA, a strong background in data science, mathematics, or related fields, and experience managing structured and unstructured data. Familiarity with search engines, online services, and machine learning techniques is essential, as the role demands technical proficiency alongside analytical and program management skills to drive impactful changes across Microsoft’s Bing product at scale.

What you'll do

  • Develop highly accurate forecast models for business risks and opportunities.
  • Drive deep understanding of top-level business metrics and growth levers.
  • Conduct impact analysis for critical features to inform agile decisions.
  • Define and track key success metrics across the product lifecycle.
  • Evangelize data analysis techniques and visualizations across partner teams.

What we're looking for

  • PhD or Master's degree in Data Science, Mathematics, Statistics, Economics, Operations Research, Computer Science with relevant experience.
  • Experience building forecast models using techniques like Prophet, SARIMA, LSTM.
  • Strong technical skills in big data analysis and modern data tools with math/statistics fundamentals.
  • Passion for applying data-driven approaches directly to business challenges.
  • Familiarity with search engines, online services, marketing campaigns, and machine learning techniques.
  • Ability to work independently, influence others, and communicate effectively across teams.

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