Data Scientist (Ad Tech)

TL;DR

Data Scientist (Ad Tech): Developing scalable statistical algorithms and predictive models to support real-time decision making in a high-frequency ad marketplace with an accent on causal inference and A/B testing. Focus on applying computational research skills to solve complex business problems at webscale.

Location: Hybrid (New York, NY). Must be based in New York; schedule includes three in-office days (Tuesday–Thursday).

Salary: $125,000 – $135,000 (Base)

Company

The world's largest independent sell-side advertising platform that helps publishers monetize content across CTV, streaming, online video, display, and audio.

What you will do

• Develop scalable statistical algorithms and predictive models for real-time decision making.
• Analyze complex marketplace data at webscale to drive product insights.
• Collaborate with product managers and engineers to define KPIs and evaluate A/B tests.
• Perform causal inference to inform strategic product decisions.
• Transition academic computational expertise into scalable industry solutions.

Requirements

• PhD in a STEM field with a strong computational focus.
• Fluency in Python.
• Strong mathematical and statistical fluency, including calculus, linear algebra, and numerical analysis.
• Familiarity with both LLMs and classical machine learning techniques.
• Excellent written and verbal communication skills.

Culture & Benefits

• Comprehensive healthcare coverage from day one.
• Annual performance-based bonus and equity (NASDAQ: MGNI).
• 401k retirement savings plan with employer match.
• Generous time off, holiday breaks, and quarterly wellness days.
• Family-focused benefits, parental leave, and a cell phone subsidy.
• Monthly fitness reimbursement and structured career growth frameworks.