Data Scientist; PHD

Data Scientist Boston, MA Hybrid Schedule (M/F remote, T/W/TH in-office)
Responsibilities

• Research, experiment with, and prototype machine learning algorithms and statistical models for pattern recognition, trend analysis, optimization, and predictive modeling
• Collaborate with Engineers to ensure scalable models that perform effectively on high-volume data and support deployment to production
• Leverage big data technologies such as Hadoop and Spark to process large-scale datasets
• Stay aligned with both client-driven and internal projects
• Participate in and contribute to design and code reviews for data science projects
• Develop a strong understanding of the ad tech business context to ensure data science solutions are relevant and impactful

• A PhD in a quantitative discipline (e.g., mathematics, statistics, computer science, or engineering)
• Strong understanding of predictive analytics, statistical modeling, and data mining—including theory, algorithms, and practical applications
• Ability to make intelligent approximations and design effective, practical, and scalable mathematical models
• Ability to identify assumptions and limitations in models and algorithms, and assess their impact on reporting and decision‑making
• Proficiency in Python and SQL is required; experience with Scala is a plus
• Familiarity with large language models is a plus

In MA, the base salary range for this role is $125,000 – $135,000. Actual compensation will be determined based on location, experience, skills, and internal equity.

• Annual performance‑based bonus
• Equity (NASDAQ: MGNI)
• Comprehensive Healthcare Coverage from Day One
• Generous Time Off:
  Holiday Breaks and Quarterly Wellness Days
• Family‑Focused Benefits and Parental Leave
• 401(k) Retirement Savings Plan with Employer Match
• Disability and Life Insurance
• Cell Phone Subsidy
• Monthly Fitness Reimbursement

Magnite is an Equal Opportunity Employer and does not discriminate against applicants due to race, color, religion, national origin, age, sex, marital status, ancestry, physical or mental disability, veteran status, gender identity, sexual orientation or any other federal, state or local protected class.