
Full-Stack Data Scientist
Posted Jun 23

Posted Jun 23
This is a fully remote position, open to applicants in United States.
• Lead Data Analytics & Modeling: Spearhead data projects utilizing both traditional machine learning methods and innovative AI technologies. Emphasize practical applications that enhance human decision-making and improve our platform.
• Data Pipeline Engineering: Collaborate intimately with the core engineering team to design, construct, and maintain scalable data pipelines that facilitate ML tools, analytics, and rapid ad delivery systems.
• Cross-Functional Collaboration: Utilize your software engineering skills to convert data science concepts into production-ready architecture, ensuring smooth integration between data models and backend systems.
• Experimentation & Optimization: Create, assess, and implement experimentation frameworks for auction, pricing, and yield optimization. Develop scalable techniques to measure impact, validate model performance, and enhance revenue-driving decision systems.
• Model Production & Monitoring: Productionize forecasting and optimization models by establishing backtesting, monitoring, and guardrail systems that guarantee outputs are reliable, explainable, and safe for deployment in high-output and delivery environments.
• Strong data analytics skills with a demonstrated history of managing high-volume, Big Data environments.
• In-depth knowledge of Machine Learning principles and their applications.
• Comprehensive understanding of AI, particularly in relation to agent deployment, maintenance, and practical usage.
• Practical experience in architecting and working within cloud environments, especially AWS.
• Proficient in reading and writing production-level code, with required expertise in Python; familiarity with backend languages like Go is a notable advantage.
• A strong dedication to engineering best practices, including thorough logging, documentation, and debugging.
• Experience in developing optimization or decision-making systems in extremely high-volume environments.
• Exceptional teamwork and communication abilities, capable of conveying complex technical concepts to a small, highly skilled team.
• A self-motivated attitude with the capacity to adapt to new technologies and quickly learn within a fast-paced ad-tech environment.
• Fully remote work flexibility
• Comprehensive health insurance packages
• High level of project ownership and autonomy
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