The Ads Monetization Algo team at Microsoft Advertising is focused on optimizing ad performance through algorithm development and experimental analysis. This role seeks a highly skilled applied scientist with expertise in quantitative fields to drive algorithmic improvements and enhance the advertiser experience. The team utilizes various techniques, including machine learning and optimization, to impact significant revenue. The position emphasizes collaboration and innovation to support the long-term health of the ad marketplace.

• 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.
• 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.

• Design, implement, and analyze bidding strategies using optimization and control theory.
• Design, prototype, and analyze different auction mechanisms for specific product areas.
• Oversee large-scale, long-term experiments to improve marketplace health using advanced statistics and machine learning.
• Design automation algorithms for advertisers to enhance their return on investment.
• Implement methods for optimizing the marketplace at a large scale.
• Develop models for causal reasoning using AI, ML, and statistics.

• Employees at Microsoft are often offered comprehensive, “world-class” benefits—including health and mental-wellness programs, competitive pay with bonuses and stock awards, and retirement/savings options. Time-off and flexibility are common, with generous vacation and holidays, parental and caregiver leave, and flexible work schedules, alongside learning support, employee resource groups, product discounts, and matching-gifts/volunteering programs. Specific benefits can vary by region.