Data Scientist, Magnite

$110-125k

+ Equity and variable bonus

SQL

Python

Scala

Java

Linux

Hadoop

Spark

Git

Mid and Senior level

Boston

More information about location

3 days a week in office

Sell-side omnichannel advertisement platform

Job no longer available

Sell-side omnichannel advertisement platform

501-1000 employees

B2BMarketingDigital MediaSaaSAdvertising

Job no longer available

$110-125k

+ Equity and variable bonus

SQL

Python

Scala

Java

Linux

Hadoop

Spark

Git

Mid and Senior level

Boston

More information about location

3 days a week in office

501-1000 employees

B2BMarketingDigital MediaSaaSAdvertising

Company mission

Magnite's mission is to help the world’s leading advertisement agencies and brands reach millions of consumers efficiently and safely through its omnichannel sell-side advertisement platform.

Job

Company

Role

Who you are

We are looking for a highly talented and motivated Data Scientist I
We are looking for someone versatile, methodical, excited by modern technology, and who enjoys focusing on tackling software challenges
A PhD degree in a quantitative field (e.g., mathematics, statistics, computer science, or engineering)
In-depth knowledge and experience with Regression, Random Forests, Support Vector Machines, Bagging, Boosting, Decision Trees, Clustering, Optimization, Stochastic Processes
Solid understanding of predictive analytics, statistical modeling, and data mining (theory, algorithms, and application)
Able to make intelligent approximations and design effective, practical, and scalable mathematical models
The ability to identify assumptions and the limitations of models/algorithms and the impact on reporting and decision-making
Proficiency in Python and SQL (required)
Experience with Jupyter Notebooks
Experience with Spark and "Big data" is desirable
Experience with Version Control such as git
Comfort working in a Linux/Mac development environment
Experience in a software technology company (a plus)
Knowledge of large language models (a plus)

What the job involves

Join our team as a Data Scientist in Boston, MA
The science team is responsible for audience solutions, ad and bid request filtering, forecasting, optimal pricing for buyers and sellers (price floors, discounts), latency and processing efficiency optimizations, and other projects
Research and experiment with different machine learning algorithms and techniques for pattern analysis, statistical modeling, feature engineering, and predictive model building
Prototype and produce the developed machine-learning solutions
Work with Engineers to make sure the models scale well on high volumes of data
Use Scala, Java, or Python to utilize Hadoop/Spark to process large-scale datasets
Identify, analyze, and interpret trends or patterns in complex log-based data sets
Explore and interpret data, analyze results using statistical techniques
Use big data skills to bring high volumes of data and data modeling together
Regularly demonstrate awareness of priorities of client-driven and internal projects
Partner with Data Engineers to get projects into production
Conduct and participate in design and code reviews for data science projects

Our take

Due to the rise in mobile and smart devices in recent years, the way in which advertisement publishers must format their ads is changing. A key example of this is TV, advertisements that present immediate calls to action within a Connected TV user interface, but publishing ads in such a format is currently inaccessible to most publishers.

Magnite provides a sell-side omnichannel advertisement platform for publishers, focused on facilitating the selling of advertising on all formats including CTV, mobile, desktop, and audio. In addition to facilitating the buying and selling of omnichannel ads, the company also provides a real-time ad performance dashboard, data protection and compliance tools, and insights into buying and selling patterns.

Whilst other omnichannel advertisement platforms present significant competition to the company, Magnite stands out by providing an end-to-end marketplace for the buying, selling, management, and analysis of ads. Furthermore, by focussing its efforts on cutting-edge formats such as CTV, the company shows great potential to futureproof itself within the advertisement industry.

Kirsty

Company Specialist at Welcome to the Jungle

Insights

5% employee growth in 12 months

Glassdoor (3.9)

Company

Company benefits

Equity and Employee Stock Purchase Plan
Pension and Retirement Savings Plan in Several Countries
Comprehensive Healthcare Benefits for You and Your Family
Generous Time Off, Holiday Breaks and Summer Fridays
Family-Focused Leave Benefits
Cell Phone Subsidy
Performance Management, and Investment in Diversity Initiatives
Bonusly Peer-to-Peer Recognition Program, Turning Recognition into Tangible Perks and Magnite Swag
Community Service Events
Wellness Coach—Meditate and Recharge with an Unlimited User Account for You and a Plus One

Company HQ

Westchester, Los Angeles, CA

Leadership

Michael Barrett

(CEO)

Experience as CEO of Rubicon Project from 2017 to 2020. President and Founder of Ichabod Farm Ventures LLC since 2012.

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