Associate Data Scientist

About Adelaide

Adelaide is a fast-scaling company focused on attention measurement and activation, a rapidly expanding part of advertising. Since 2020, it has been the media quality measurement partner for 40% of Fortune 50 brands, helping them plan campaigns, invest in stronger inventory, and improve outcomes using its AU metric. The company has grown from a 9-person startup in 2019 to a team of more than 75, with a 35% three-year CAGR and partnerships across more than 125 platforms and publishers.

The business is backed by investors including Human Ventures, Aperiam Ventures, WGI, and Irwin Gotlieb. It has a New York office and a London WeWork, while operating as a remote-friendly organization with flexible working options.

Role Overview

This role reports to the VP of Data Science and contributes to the models and datasets behind AU. You will collaborate closely with Product and Client Services to create new data products and methodologies across the business. The position sits within a team of data scientists and data engineers working with very large daily datasets to improve advertising effectiveness and support the world’s first attention-based optimization platform.

The work is hands-on and varied, including exploring new data sources, training models, improving existing approaches, refining pipelines, and helping strengthen the company’s data science infrastructure. It is a strong fit for someone who learns quickly, enjoys difficult problems, and wants practical experience building production-facing data products.

Responsibilities

• Convert raw data into clear, compelling insights that communicate the company’s mission and value.
• Partner with Data Science, Product, and Client Services to turn Adelaide’s data into concise narratives and usable outputs.
• Contribute to the creation, development, and tuning of models used in production.
• Support and extend machine learning systems that help advertisers buy media more efficiently.
• Provide client-facing teams with data-backed insights drawn from millions of behavioral signals each day.
• Work with engineering to design efficient, reliable data pipelines.
• Help shape experimental studies that assess advertising value across multiple channels and environments.

Requirements

• Strong Python skills, especially for modeling and pipeline work.
• Experience using SQL to pull data from cloud databases.
• Working knowledge of standard machine learning approaches such as logistic regression, linear regression, random forests, XGBoost, clustering, and dimensionality reduction like PCA.
• Ability to assess model performance and identify improvement opportunities.
• Root-cause debugging skills for resolving dataset issues.
• Comfort explaining technical ideas to non-technical audiences.
• A practical, builder-oriented mindset with a focus on shipping useful work efficiently.
• Bachelor’s degree in a quantitative field or equivalent professional experience.

Preferred Qualifications

• Prior experience delivering work into production environments.
• Exposure to cloud platforms such as AWS, GCP, or Azure.
• Experience working in AWS environments.
• Background in adtech or marketing.
• Familiarity with Looker or similar business intelligence tools.
• Master’s or PhD in a quantitative discipline.
• Strong intellectual curiosity and the ability to move quickly without sacrificing rigor.

What You’ll Learn

The company emphasizes learning and idea-sharing, and provides access to investor and advisor networks, executive mentorship from leaders in adtech and media, internal knowledge-sharing sessions, and an education budget for professional growth.

In the role, you will deepen your understanding of attention metrics and media quality measurement, learn how to model complex user interaction patterns, work with large-scale user experience signals, and gain experience in collaborative product development within a fast-moving environment.

Compensation

The role offers a base salary range of USD 95,000 to 115,000, plus a performance-based bonus and equity. Final pay is determined by experience, level, and location.

Benefits

• Medical, dental, and vision coverage.
• Paid time off.
• Parental leave.
• Employee development and wellness stipend.
• Holiday break.
• Volunteer time off.
• Competitive salary.
• Quarterly performance bonus.
• Stock options.
• 401(k) retirement plan.
• Remote-first working model.
• Access to the New York office.
• Access to available WeWork spaces.

Equal Opportunity Statement

Adelaide is committed to maintaining an inclusive workplace and considers all qualified applicants without discrimination based on race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, veteran status, or any other protected characteristic.