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As a Senior Data Scientist at Kargo, you will enhance auction-based models to optimize ad tech operations. Collaborating with data scientists and stakeholders, you will develop strategies to improve real-time bidding systems, ensure data reliability, and drive efficiencies. Your role involves leading teams to meet client needs through data-driven solutions and presenting insights to leadership.
The Director, Ad Measurement will lead the Research & Insights team to understand and measure the effectiveness of ad campaigns across digital and CTV platforms. They will collaborate with various teams to enhance advertising performance and communicate insights to stakeholders.
The Director of Machine Learning Operations will lead the ML Ops team to develop, implement, and oversee machine learning strategies. Responsibilities include managing ML infrastructure, deploying models, ensuring performance and scalability, and collaborating with cross-functional teams to integrate ML solutions into the advertising technology platform.
Kargo is seeking a Senior Analytics Engineer to build data pipelines, optimize data architecture, and lead the implementation of dbt for data transformation. Responsibilities include collaborating with analysts, ensuring data quality, and mentoring junior engineers, all while supporting business needs with insights across teams.
As a Senior Data Engineer at Kargo, you will work with the Targeting and Audiences team to enhance data methodologies, create scalable processes for large datasets, and improve data targeting strategies. Responsibilities include maintaining data integrity, collaborating with product and data science teams, and building data pipelines for real-time bidding.
The Lead Data Engineer at Kargo will architect, design, and optimize data structures for audience and contextual targeting solutions. Responsibilities include overseeing a team of data engineers, collaborating with stakeholders, building scalable data pipelines, and documenting systems.
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