Data Scientist
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Job Description
Data Scientist contributing to AU metric development in a fast-growing ad-tech company. Collaborating across teams to shape data stories and optimize models.
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
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:
- Medical, dental, and vision insurance
- Paid time off
- Parental leave
- Employee development & wellness stipend
- Holiday break
- Volunteer time off
- Performance-based quarterly bonus
- Stock options
- 401(k) retirement plan
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