TL;DR

Fast-growing measurement company looking for a Data Scientist with 3-5 years of experience to work with our Data Science teamto help build the AU and drive our measurement product forward.

Who we are

Adelaide is the leader in one of the fastest-growing areas of digital advertising: attention metrics.

Since 2020, we’ve been a trusted measurement partner for 40% of Fortune 50 companies. They rely on our metric, AU, to maximize the effectiveness of media spend. AU is “the attention economy's most widely recognized metric,” according to Adweek, and we swept the measurement category in the 2024 Adexchanger awards.

Our business is growing rapidly—we’ve doubled revenue in just 18 months and grew our team by 45% last year. Earlier this year, in partnership with The New York Times, we launched Adelaide for Publishers, the next step in our vision to create a more fair and equitable marketplace for media.

Adelaide is backed by prominent investors such as Human Ventures (Joe Marchese), Aperiam Ventures (Joe Zawadzki & Eric Franchi), WGI (Jonah Goodhart), and Irwin Gotlieb.

While we have an office in NYC, we’re very remote-friendly and support flexible work arrangements.

How we operate

We are a team of action-oriented doers; management rolls up their sleeves to contribute daily. Our culture is rooted in curiosity and loosely held but rigorously vetted opinions; everyone is encouraged to contribute to planning and strategy.

Position Overview

This position reports to the Director of Data Science; it will help to continue pushing forward the underlying models and data sets that create the AU, and work closely with product and client services team members to develop new data products and methodologies in support of all areas of the business.

In this role, you will be joining a team of other data scientists and data engineers, and work with people across the organization to shape Adelaide’s data into a clear and concise story. You’ll be responsible for working with hundreds of millions of data points a day, quickly iterating on optimization methods that further advertising effectiveness and fuel the world’s first attention-based optimization platform. Day-to-day activities range from identifying and exploring new data sources, to training new models and iterating on existing models, to improving our codebase and pipelines.

This is a fully remote position within the United States, with opportunities to connect with colleagues at our New York office.

What you'll learn

An important part of our culture is continuing education and the sharing of ideas. We offer:

A large network of investors and advisors for you to access that will help your team succeed
Mentorship from executives with decades of experience in adtech and media
Regular internal knowledge-sharing sessions
Education budget to accelerate your team’s development

Specifically, In This Role, You Will Learn

Gain a deep understanding of attention metrics and media quality measurement
Complex user interaction patterns and ML solutions to account for specialized data sets
Methods for processing and deriving insights from massive amounts of user experience signals
Best practices and collaborative product development in a fast-paced collaborative environment

Core Responsibilities

Interpret raw data and form compelling narratives to draw meaningful insights that communicate our story and mission
Work with our Data Science team, as well as Product and Customer Success, to shape Adelaide’s data into a clear and concise story
Help to formulate, develop, and optimize models in production
Help to support and augment our machine learning system to aid advertisers in buying efficient media
Support client management teams with data-driven insights based on millions of behavioral data points each day
Work with the engineering team to build efficient and robust data pipelines
Help direct experimental studies aimed at understanding advertising value across multiple channels and media environments

Benefits

Health & Wellness

Medical, dental, and vision insurance
Paid time off
Parental leave
Wellness & Development Stipend
Holiday break
Volunteer time off

Financial & Compensation

Competitive salary
Stock options
401k Retirement Plan

Workplace & Equipment

Remote-first environment
New York office
Access to WeWork spaces available

Equal Employment Opportunity (EEO) Statement

Adelaide is proud to be an Equal Opportunity Employer, committed to fostering a diverse, equitable, and inclusive workplace where all employees can thrive. We consider all qualified applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, veteran status, or any other legally protected status.

Our commitment to equal opportunity employment extends beyond basic compliance to encompass the active cultivation of a workplace that values different perspectives, backgrounds, and experiences.

The Pay Range For This Role Is

120,000 - 140,000 USD per year(United States)

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Data Scientist

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