Senior Applied Scientist, Product

Moloco • Seattle, CA

6d

About The Position

Product Analytics Data Science (PDS) partners closely with Moloco’s R&D team on its core Ads product. The Senior Applied Scientist drives product performance improvement through a deep understanding of the advertising ecosystem—including supply, demand, bidding, and machine learning—and customer needs, providing data-driven insights and scientific solutions.

The role involves analyzing large and high-dimensional datasets from ad auctions and user interactions, developing metrics and monitoring frameworks, evaluating the health of internal and external system components, and diagnosing system changes and issues. The scientist works with senior peers and cross-functional partners to assess infrastructure and machine learning components, implement and evaluate algorithms and features, guide modeling and product decisions, and improve the reliability, latency, and efficiency of online prediction and decision systems.

Moloco is an AI-native performance advertising company. Its Moloco Ads and Moloco Commerce Media businesses are powered by CARA, its Compound Ad Recommendation Architecture.

Requirements

• Advanced degree in Computer Science, Mathematics, or a related field, or industry experience in optimization of market prices or machine learning systems.
• At least 4 years of engineering or applied science experience.
• Proficient verbal and written English communication skills, including the ability to contribute to presentations and reports.
• Ability to quickly understand new information and learn technical skills across engineering, machine learning, and data science.
• Track record of building positive relationships with collaborators and stakeholders and working effectively with cross-functional partners in a global company.

Responsibilities

• Conduct deep-dive analyses to inform R&D decisions and strategies, using queries and scripts to find actionable signals in large datasets.
• Establish and improve metric frameworks for monitoring campaign health and understanding cause-and-effect relationships among performance drivers.
• Evaluate the health of advertising system components and diagnose issues using input and output metrics.
• Work with other applied scientists to assess internal and external components and help ensure the system runs safely and efficiently.
• Identify and suggest areas for improvement in infrastructure and machine learning components by examining internal, external, and data changes.
• Complete unbiased analyses as part of larger projects.
• Implement and evaluate algorithms and features in collaboration with senior Applied Scientists, Software Engineers, and Machine Learning Engineers.
• Analyze large, high-dimensional ad auction and user interaction datasets to uncover insights, define success metrics, and guide modeling and product decisions.
• Collaborate with product, engineering, and science partners on experiments and roadmaps, and translate business requirements into scientifically sound solutions.
• Improve the reliability, latency, and efficiency of online prediction and decision systems through experimentation, monitoring, and continued model refinement.

Benefits

• Medical insurance
• Dental insurance
• Vision insurance
• 401(k) plan with company match
• Short-term and long-term disability coverage
• Basic life insurance
• Well-being benefits and perks
• Up to 12 scheduled paid holidays per calendar year for U.S.-based employees
• One Thrive Day off per quarter for U.S.-based employees
• Flexible Time Off (FTO) for all employees
• Potential eligibility for a bonus and equity awards, subject to performance and applicable plan terms

What This Job Offers

• Job Type: Full-time
• Career Level: Senior