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Microsoft

Hybrid

Quick summary

Work type: Hybrid
Location: —
Salary: $119,800–$234,700 / yr
Posted: 66 days ago

Market check

Salary context

Competitive pay

How this pay compares to similar roles

Similar $180k

This role $177k

$106k most similar roles pay here $248k

This role pays more than 64% of similar roles. Most pay $152,150–$207,350 — the shaded band above. At the midpoint, this role pays about $177k versus about $180k for comparable roles.

Based on 239 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 1580 open roles on FindRole.

Listed pay typically runs $119,800–$234,700 across 1408 roles with salary data.

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At a glance

TL;DR · | Microsoft Careers

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As a senior data and applied scientist at Bing Online Metrics, you will join a team dedicated to advancing the capabilities of A/B experimentation and user engagement analysis. Your primary responsibilities include developing actionable metrics for major initiatives, analyzing large-scale telemetry data with advanced statistical methods, and creating tools to help feature teams understand the impact of their changes on key performance indicators. You will work closely with engineers and product managers to inform ship decisions based on empirical evidence from thousands of online controlled experiments. Ideal candidates possess hands-on experience in programming languages like Python or Java, expertise in SQL-like query languages, and a strong background in machine learning and statistical analysis. Familiarity with search engines and large datasets is essential, as you will be tackling complex business problems that impact millions of users globally.

Skills

Python SQL Java C# MachineLearning LargeDatasetsAnalysis StatisticalMethods A/BTesting TelemetryData SearchEngines OnlineInstrumentation

What you'll do

Develop and innovate methods for online A/B experimentation to produce actionable conclusions.
Define, build, and track success metrics for Bing customer satisfaction and retention.
Analyze large-scale telemetry data using advanced statistical methods to uncover patterns and trends.
Create tools to help analyze metric movements and assist feature teams in understanding impacts.
Influence ship decisions by providing insights from online controlled experiments.

What we're looking for

Extensive experience in A/B online experimentation and user engagement analysis.
Proficiency in defining, tracking, and analyzing success metrics for customer satisfaction and retention.
Expertise in performing statistical analysis on large-scale telemetry data using advanced methods and tools.
Hands-on experience with SQL-like query languages and programming languages like Python, Java, C#, or C++.
Strong problem-solving skills and ability to work independently while influencing others effectively.
Familiarity with search engines and online instrumentation, along with interest in consumer online behavior.
Experience in building machine learning models on large-scale datasets.

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