# Principal Applied Scientist - Auction & Bidding

**Company**: Microsoft
**Location**: Redmond, Washington
**Work arrangement**: hybrid
**Experience**: senior
**Job type**: full-time
**Salary**: USD $142,800 – $274,800 per year
**Category**: Engineering
**Industry**: Technology
**Ticker**: MSFT
**Wikidata**: https://www.wikidata.org/wiki/Q2283

**Apply**: https://microsoft.ai/job/principal-applied-scientist-auction-bidding-5/?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply
**Canonical**: https://yubhub.co/jobs/job_e114b420-931

## Description

The Ads Monetization Algo team at Microsoft Advertising focuses on optimizing ad performance for all advertisers in their ecosystem by bidding on their behalf in real-time auctions across their marketplaces.

They are seeking a highly skilled applied scientist with a background in quantitative fields such as statistical machine learning, decision theory, operations research, optimization theory, mathematical modeling, data mining, causal inference, information retrieval, game theory, mechanism design, and optimal control.

The successful candidate will play a key role in driving algorithmic improvements to online and offline systems, developing and delivering robust and scalable solutions, making direct impacts on advertisers' experience and the ad marketplace's long-term health to collectively and continually increase revenue for Microsoft Advertising.

**Responsibilities**

- Designing, implementing, and analyzing bidding strategies using techniques from optimization, control theory.

- Designing, prototyping, and analyzing different auction mechanisms given specific product areas.

- Designing and overseeing large-scale, long-term experiments to improve the health of the marketplace using advanced statistics and machine learning.

- Designing automation algorithms for advertisers using techniques from AI and ML to improve advertisers' return on investment.

- Implementing methods for optimizing the marketplace at a large scale.

- Developing models for causal reasoning using techniques from AI, ML, and statistics.

**Qualifications**

- Bachelor's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 6+ years related experience.

- Master's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 4+ years related experience.

- Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 3+ years related experience.

**Preferred Qualifications**

- Master's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 9+ years related experience.

- Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 6+ years related experience.

- 8+ years of experience developing and deploying live production systems, as part of a product team.

- 3 Years of experience in Auto-Bidding or Auction Design.

The typical base pay range for this role across the U.S. is USD $142,800 – $274,800 per year.

## Skills

### Required
- statistical machine learning
- decision theory
- operations research
- optimization theory
- mathematical modeling
- data mining
- causal inference
- information retrieval
- game theory
- mechanism design
- optimal control

### Nice to have
- Auto-Bidding
- Auction Design
- live production systems

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Source: [Apply at microsoft.ai](https://microsoft.ai/job/principal-applied-scientist-auction-bidding-5/?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply)