Nimbus - Full-Stack Data Scientist
Requirements
• Strong data analytics capabilities with a proven track record of handling high-volume, Big Data environments. • Deep understanding of Machine Learning principles and application. • Strong understanding of AI, specifically regarding agent deployment, maintenance, and practical usage. • Hands-on experience architecting and working within cloud environments, specifically AWS. • Comfortable reading and writing production-level code. Proficiency in Python is required; experience with backend languages like Go is a significant plus. • A strong commitment to engineering best practices, including rigorous logging, documentation, and debugging. • Experience building optimization or decisioning systems in extremely high volume environments. • Collaboration: Excellent teamwork and communication skills, with the ability to articulate complex technical concepts to a lean, highly capable team. • Adaptability: A self-starter mindset with the ability to adapt to new technologies and learn quickly in a fast-paced ad-tech landscape.
Responsibilities
• Lead Data Analytics & Modeling: Drive data initiatives using both traditional machine learning and emergent AI technologies. Focus on pragmatic, non-generic applications that empower human decision-making and optimize our platform. • Data Pipeline Engineering: Work closely with the core engineering team to design, build, and maintain scalable data pipelines that support ML tooling, analytics, and high-velocity ad delivery systems. • Cross-Functional Collaboration: Leverage your software engineering proficiency to translate data science concepts into production-ready architecture, ensuring seamless integration between data models and backend systems. • Experimentation & Optimization: Design, evaluate, and operationalize experimentation frameworks for auction, pricing, and yield optimization. Building scalable methods to measure impact, validate model performance, and improve revenue driving decision systems. • Model Production & Monitoring: Productionize forecasting and optimization models by building backtesting, monitoring, and guardrail systems that ensure outputs are reliable, explainable, and safe to deploy in high output and delivery environments.
Benefits
• Fully remote work flexibility • High level of project ownership and autonom • AdsByNimbus is a leader in Publisher-first mobile AdTech. Our team is lean, highly capable, and deeply collaborative. Joining us means you will have the immediate opportunity to work closely with core team members, shape the technical direction of our data infrastructure, and rapidly develop new skills. • We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
Apply in one click
Upload My Resume
Drop here or click to browse · Tap to choose · PDF, DOCX, DOC, RTF, TXT