Magnite, Inc.-posted about 1 month ago
$110,000 - $125,000/Yr
Full-time • Entry Level
Hybrid • New York, NY
501-1,000 employees
Professional, Scientific, and Technical Services

At Magnite, we cultivate an environment of continuous growth and collaboration. Our work impacts what millions of people read, watch, and buy, and we're looking for people to help us tackle that responsibility with creativity and focus. Magnite (NASDAQ: MGNI) is the world's largest independent sell-side advertising platform. Publishers use our technology to monetize their content across all screens and formats including CTV / streaming, online video, display, and audio. Our tech fuels billions of transactions per day! In this role you will: Transition from academia to industry. Make sense of complex marketplace data at webscale and perform noncommoditized data work. Develop scalable statistical algorithms and predictive models to support real-time decision making in a high frequency ad marketplace. Collaborate cross functionally with product managers, and engineers to define KPI's, evaluate A/B tests, perform casual inference, and use data to inform product decisions. Apply the creative problem solving skills you learned in academia to business problems. Work in a collaborative team environment with high personal accountability.

  • Transition from academia to industry.
  • Make sense of complex marketplace data at webscale and perform noncommoditized data work.
  • Develop scalable statistical algorithms and predictive models to support real-time decision making in a high frequency ad marketplace.
  • Collaborate cross functionally with product managers, and engineers to define KPI's, evaluate A/B tests, perform casual inference, and use data to inform product decisions.
  • Apply the creative problem solving skills you learned in academia to business problems.
  • Work in a collaborative team environment with high personal accountability.
  • Python fluency.
  • A PhD in a STEM field with a computational focus. (Both physical and social scientists are encouraged to apply.)
  • Mathematical and statistical fluency. (Should be comfortable with calculus, linear algebra, statistics, and numerical analysis.)
  • Familiarity with both llm's and classical machine learning techniques.
  • Excellent written and verbal communication skills.
  • Comprehensive Healthcare Coverage for You and Your Family from Day One
  • Generous Time Off
  • Holiday Breaks and Quarterly Wellness Days
  • Equity and Employee Stock Purchase Plan
  • Family-Focused Benefits and Parental Leave
  • 401k Retirement Savings Plan with Employer Match
  • Disability and Life Insurance
  • Cell Phone Subsidy
  • Fitness and Wellness Reimbursement
  • Community Service and Volunteer Events
  • Company-Matched Charitable Contributions
  • Wellness Coach and Mental Health Support
  • Career Development Initiatives and a Career Growth Framework
  • Culture and Inclusion Programs
  • Bonusly Peer-to-Peer Recognition Program
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