Data Scientist – Applied AI

This Data Scientist role is focused on identifying performance levers within Appier's Ad Cloud by analyzing campaign, auction, and user-behavior data. The role involves designing and running A/B tests, building metric frameworks and dashboards, and driving improvements across ML, product, and operations teams. Requires 3+ years of experience in data analytics, strong statistical foundations, and proficiency in Python and expert-level SQL with PySpark experience.

This Data Scientist role focuses on building and shipping production ML models that predict user value, engagement, and reward behavior for a rewards-based marketing platform. The role involves designing and running A/B tests with causal reasoning, building data infrastructure, and owning undefined product problems end-to-end. Requires strong Python and SQL skills, a research or academic background, and experience with AI tools.

This Staff/Senior Machine Learning Scientist role is responsible for designing, implementing, and productionizing ML models to improve bidding, pricing, and personalized content recommendation for Appier's Ad Cloud. The role involves analyzing large-scale user and auction data, collaborating cross-functionally, and improving system performance through offline and online experimentation. Requires 4+ years of ad tech experience with a focus on performance optimization and applied ML in CTR prediction or recommendation systems.

Analyze real-time digital advertising campaign data to optimize client KPIs and detect ad fraud, using expert-level SQL, Python (Pandas/NumPy), and Tableau. Present findings to management and clients in high-pressure situations, and develop fraud detection reports. Requires strong business acumen and the ability to translate data into actionable insights.

Senior full-stack role combining React, Node.js, and TypeScript with AI integration. Likely involves building web applications and incorporating AI features, possibly related to the Sidekicks AI initiative.

Develops and maintains data platforms, including data pipelines, storage, and processing systems for the ad platform. Requires strong software engineering skills and experience with big data technologies to support data-driven operations.

Builds and maintains RESTful APIs and database interactions for the ad platform using Node.js and SQL. Focuses on designing scalable, reliable API endpoints to support platform functionality and integrations.