Simulmedia

• Develop and maintain supervised machine learning models to support ad targeting, measurement, and campaign optimization. • Perform data analysis, data validation, and feature engineering on large and complex datasets. • Collaborate with product, engineering, and analytics teams to translate business needs into data science solutions. • Evaluate model performance using appropriate metrics and iterate on model improvements. • Support optimization and experimentation efforts related to advertising performance. • Assist with deploying models to production in collaboration with engineering teams. • Monitor model performance and help troubleshoot issues in production. • Communicate results, insights, and limitations to both technical and non-technical stakeholders. • Stay up to date with industry best practices in data science and machine learning.

• Design and implement insights and analytics dashboards for the CTV self-service platform, providing users with actionable data to enhance their campaigns. • Develop both frontend (70%) and backend (30%) services using React, Next.js, and TypeScript, ensuring seamless integration between components. • Build robust, scalable APIs using tRPC to serve analytics data to the frontend application. • Create efficient pages using server-side rendering (SSR) or static site generation (SSG) via Next.js for performance-optimized analytics displays. • Collaborate with designers to implement responsive and visually appealing user interfaces using Tailwind CSS, ensuring a smooth, intuitive experience for the platform’s users. • Optimize the full stack to ensure quick load times, low-latency data fetching, and smooth user experiences, especially for data-heavy visualizations and analytics pages. • Deploy and manage the platform using Vercel, taking advantage of its serverless functions for backend processes and ensuring efficient deployments and scaling. • Participate in code reviews, pair programming, and knowledge-sharing sessions to ensure high-quality, maintainable code. • Implement unit and end-to-end testing for both frontend and backend components to ensure reliability and reduce bugs in production.