Position overview

This position reports to the VP of Data Science and will help push forward the underlying models and data sets that create the AU, working closely with Product and Client Services to develop new data products and methodologies across all areas of the business.

In this role, you’ll be joining a team of data scientists and data engineers, collaborating across the organization to turn complex data into scalable products and meaningful insights. You’ll work with hundreds of millions of data points each day, supporting the development and iteration of models that improve advertising effectiveness and power the world’s first attention-based optimization platform.

Day-to-day activities range from exploring new data sources and training new models to improving existing methodologies, refining pipelines, and contributing to the continued evolution of our data science infrastructure. This is an ideal opportunity for someone excited to learn quickly, solve challenging problems, and gain hands-on experience building production-facing data products.

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

This role includes a competitive compensation package consisting of base salary, performance-based bonus, and equity. Final compensation will be determined based on experience, level, and location.


Compensation

• Base Salary Range: $95,000-$115,000

This role includes a competitive compensation package consisting of base salary, performance-based bonus, and equity. Final compensation will be determined based on experience, level, and location.

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:

• 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
• A builder mentality — you find proven solutions, work smarter not harder, and take pride in shipping things that matter
• 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
• Adtech 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.