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

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

Benefits

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

PythonSQLdata pipelinesmodelinglogistic regressionlinear regressionRandomForestsXGBoostclustering methodsdimensionality reduction

Soft Skills

investigation skillsanalytical skillsroot-cause analysiscommunication skills

Certifications

Bachelor's degree in quantitative discipline