Data Scientist

TL;DR Fast-growing ad-measurement company looking for an individual to work with our data science team to 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 advertising: attention measurement and activation. Since 2020, we've become the trusted media quality measurement partner for 40% of Fortune 50 brands who rely on our award-winning AU metric to plan smarter campaigns, invest in high-quality inventory, and dive stronger business outcomes. Adweek has called Adelaide's AU "the attention economy's most widely recognized metric," and AdExchanger named it "Best measurement/Analytics Capability." Our business continues to scale rapidly, outperforming the industry with a 35% three-year CAGR. What began as a 9-person startup in 2019 is now a team of more than 75. The past year brought meaningful expansion. We launched the AU ecosystem, giving brands, media agencies, and publishers a unified way to leverage and transact on AU. We broadened our programmatic footprint with custom bidding in GoogleDV360 and pre-bid targeting in The Trade Desk, and grew our partner roster to over 125 platforms and publishers. Leading brands like Dell, Diageo, an Jaguar Land Rover—along with premium publishers such as Hearst, Spotify, and The New York Times—continue to demonstrate AU's value across the media lifecycle. Adelaide is backed by prominent investors such as Human Ventures (Joe Marchese), Aperiam Ventures (Joe Zawadzki & Eric Franchi), WGI (Jonah Goodhart), and Irwin Gotlieb. We have a NYC office and a London WeWork, but operates as a remote-friendly company with flexible work options. How we work We're a team of action-oriented doers—management rolls up their sleeves and contributes every day. Our culture is rooted in curiosity and rigor: opinions are held lightly, debated openly, and strengthened through testing. Everyone is encouraged to play a role in shaping planning and strategy. We're built on belonging and growth—94% of employees report a strong sense of belonging, and 81% say they’re happy at work. 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 continuous learning and the open sharing of ideas. We offer: Access to a broad network of investors and advisors who can help you and your team succeedMentorship from executives with decades of experience in adtech and mediaRegular internal knowledge-sharing sessionsAn education budget to support ongoing professional growth and development In this role you'll learn: Gain a deep understanding of attention metrics and media quality measurementComplex user interaction patterns and ML solutions to account for specialized data setsMethods for processing and deriving insights from massive amounts of user experience signalsBest 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 missionWork with our Data Science team, as well as Product and Client Services, to shape Adelaide’s data into a clear and concise storyHelp to formulate, develop, and optimize models in productionHelp to support and augment our machine learning system to aid advertisers in buying efficient mediaSupport client management teams with data-driven insights based on millions of behavioral data points each dayWork with the engineering team to build efficient and robust data pipelinesHelp direct experimental studies aimed at understanding advertising value across multiple channels and media environments What you'll bring Python proficiency and experience with data pipelines and modelingSQL for extracting data from cloud databasesUnderstanding of Classic ML algorithms: logistic regression, linear regression, RandomForests/XGBoost, clustering methods, and dimensionality reduction (e.g., PCA)Ability to investigate and analyze model performanceRoot-cause analysis skills for debugging dataset issuesComfort explaining technical concepts to non-technical stakeholdersBachelor's degree in a quantitative discipline or equivalent professional experience What will set you apart Experience shipping work to productionCloud platform experience (AWS, GCP, Azure)Familiarity with AWS environmentsAd-tech or marketing backgroundExperience with Looker or similar BI toolsAdvanced degree (Master's or PhD) in a quantitative fieldIntellectual curiosity and the ability to move fast while maintaining rigor Benefits Health & Wellness Medical, dental, and vision insurance Paid time offParental leaveEmployee development & wellness stipend Holiday breakVolunteer time off Financial & Compensation Competitive salaryPerformance-based quarterly bonusStock options401(k) retirement plan Workplace & Equipment Remote-first environmentNew York office access Access to available WeWork spaces  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. Locations: Remote (United States)