Data Scientist; PHD

Position: Data Scientist (PHD Required)
**** Data Scientist
******** Boston, MA
******** Hybrid Schedule (M/F remote, T/W/TH in-office)
**** 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!
**** About this team:
**** We are looking for a highly talented and motivated Data Scientist. The Science team leads initiatives in audience solutions, traffic shaping, forecasting, pricing optimization, latency analysis, and a range of other strategic projects. We are looking for someone versatile, methodical, excited by modern technology, and who enjoys focusing on tackling data science challenges.
**** In this role you will:
***** 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
**** We’re looking for someone with:
***** 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
* Able 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.

This role is also eligible for:
* Annual performance-based bonus
* Equity (NASDAQ: MGNI)
* Comprehensive benefits package

During the interview process, candidates will receive more specific information about the salary range applicable to their experience and location.
**** Perks and Benefits**:
*** Comprehensive Healthcare Coverage 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
* Monthly Fitness Reimbursement
**** Career Growth:
**** We support internal mobility, skill development, and leadership pathways through structured career frameworks and learning programs.
**** Company Culture:
**** Magnite’s culture is rooted in collaboration and connection, recognizing that both are essential to success. Our hybrid schedule includes two remote workdays (Monday and Friday) and three in-office days (Tuesday through Thursday), where employees can take advantage of catered lunches, beverages, snacks, training opportunities, and engaging office events that enhance the work experience. In addition, we support our team through meaningful benefits and programs, including community service and volunteer opportunities, company-matched charitable contributions, access to mental health resources, structured career development initiatives and growth frameworks, culture and inclusion programs, and our Bonusly peer-to-peer recognition platform.

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