Data Scientist

Adelaide

23d•Remote

About The Position

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.

Requirements

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

Nice To Haves

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

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