Data Scientist II

This Data Scientist II role on the Moloco Commerce Media team partners with Product, Engineering, and GTM to define success metrics, design experiments, and conduct deep-dive analyses on ad-tech data (ranking, retrieval, bidding, pacing). The role requires strong Python/SQL skills, statistical expertise, and experience influencing product decisions with data, ideally in ad-tech or marketplace environments.

This role develops and deploys machine learning and AI solutions for advertising measurement products, applying causal inference and Bayesian statistics. The scientist works with senior team members and product stakeholders, taking ideas from early-stage to production. Requires Python and SQL proficiency, experience with agentic development, and collaboration with engineering and product teams.

This senior role conceptualizes, develops, and deploys core machine learning and AI solutions for advertising measurement products. The scientist owns projects from prototyping through production, applying causal inference, Bayesian statistics, and modern marketing statistical methods to petabytes of data. Requires strong Python and SQL skills, experience with agentic development tools, and collaboration with product and engineering teams.

This role is a senior data science and analytics position focused on deriving insights from data. The analyst will build predictive models, perform statistical analysis, and present findings to stakeholders. Requires strong data science skills and experience with machine learning.

This role manages customer advertising budgets and optimizes ad performance on Amazon and other e-commerce platforms using CommerceIQ tools. The specialist collaborates with cross-functional teams, performs deep-dive analyses, and adjusts campaigns to meet KPIs, ensuring customer success and retention.

This role leads the design and development of a scalable crawl platform that unifies data across all CommerceIQ product lines. The engineer will own system architecture, drive technical strategy, mentor engineers, and tackle distributed systems challenges, with a focus on reliability, observability, and developer experience. Requires 8+ years of software engineering experience, including 3+ years leading teams, and expertise in distributed systems, with AWS, Spark, and Kubernetes as pluses.

This Machine Learning Engineer III role is responsible for building and scaling ML pipelines and platforms for CommerceIQ's B2B SaaS products. The engineer will deploy ML models in production, including LLMs on GPUs, and own the ML infrastructure roadmap. Key responsibilities include developing end-to-end pipelines, implementing scaling best practices, and managing model performance monitoring.