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.