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 succeed
• Mentorship from executives with decades of experience in adtech and media
• Regular internal knowledge-sharing sessions
• An 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 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 Client Services, 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

What you'll bring

• Python proficiency and experience with data pipelines and modeling
• SQL for extracting data from cloud databases
• Understanding of Classic ML algorithms: logistic regression, linear regression, RandomForests/XGBoost, clustering methods, and dimensionality reduction (e.g., PCA)
• Ability to investigate and analyze model performance
• Root-cause analysis skills for debugging dataset issues
• Comfort explaining technical concepts to non-technical stakeholders
• Bachelor's degree in a quantitative discipline or equivalent professional experience

What will set you apart

• Experience shipping work to production
• Cloud platform experience (AWS, GCP, Azure)
• Familiarity with AWS environments
• Ad-tech or marketing background
• Experience with Looker or similar BI tools
• Advanced degree (Master's or PhD) in a quantitative field
• Intellectual curiosity and the ability to move fast while maintaining rigor

Benefits

Health & Wellness

• Medical, dental, and vision insurance
• Paid time off
• Parental leave
• Employee development & wellness stipend 
• Holiday break
• Volunteer time off

Financial & Compensation

• Competitive salary
• Performance-based quarterly bonus
• Stock options
• 401(k) retirement plan

Workplace & Equipment

• Remote-first environment
• New 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.