Senior Applied Scientist, Product

Moloco•Seattle, WA

7d•$159,800 - $235,000

About The Position

Moloco’s Product Analytics Data Science team works closely with R&D on the core Ads product. The Senior Applied Scientist drives product performance improvements by developing a deep understanding of the advertising ecosystem—including supply, demand, bidding, and machine learning—and customer needs, then providing data-driven insights and scientific solutions. The role involves evaluating the health of internal and external system components, identifying opportunities to improve infrastructure and machine learning components, and completing rigorous, unbiased analyses as part of larger projects. In collaboration with senior Applied Scientists, Software Engineers, Machine Learning Engineers, product partners, and other scientists, the scientist implements and evaluates algorithms and features, analyzes large-scale advertising auction and user interaction data, defines success metrics, and informs modeling, product, and roadmap decisions. The role also applies experimentation, monitoring, and ongoing model refinement to improve the reliability, latency, and efficiency of online prediction and decision systems.

Requirements

An 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 analyze large datasets and produce actionable insights for improving Moloco’s machine learning and bidding systems.
Establish and improve metric frameworks for monitoring campaign health, including understanding cause-and-effect relationships among performance drivers.
Evaluate the health of advertising system components using input and output metrics, and diagnose system changes and issues.
Collaborate with other applied scientists to assess internal and external components and help ensure the Moloco system operates safely and efficiently.
Identify and suggest opportunities to improve infrastructure and machine learning components by understanding internal system changes, external changes, and data changes.
Complete tasks within larger projects and conduct deep, unbiased analyses.
Implement and evaluate algorithms and features in collaboration with senior Applied Scientists, Software Engineers, and Machine Learning Engineers.
Analyze large, high-dimensional datasets from ad auctions and user interactions to uncover insights, define success metrics, and guide modeling and product decisions.
Work with product, engineering, and science partners to iterate on experiments, define 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 continual model refinement.

Benefits

Medical insurance for U.S.-based employees.
Dental insurance for U.S.-based employees.
Vision insurance for U.S.-based employees.
401(k) plan with company match for U.S.-based employees.
Short-term and long-term disability coverage for U.S.-based employees.
Basic life insurance for U.S.-based employees.
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 for all employees.
Potential eligibility for a bonus and equity awards, based on performance and applicable plan terms.