Senior Applied Scientist, ML Systems & Ads Insights

Moloco

Menlo Park, Seattle (CA, WA)

On-site

USD 160,000 - 235,000

Full time

2 days ago
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Benefits offered by this job

Medical/Dental/Vision insurance
401(k) with company match
Disability insurance (short/long-term)
Life insurance
Paid holidays (12/year) and Thrive Day
Flexible Time Off

Job summary

Moloco is seeking a Senior Applied Scientist for Product Analytics Data Science to advance Moloco's AI-native advertising products. You will drive performance improvements in our Ads platform by understanding the ads ecosystem and customer needs, delivering data-driven insights and scientific solutions.

You’ll collaborate with R&D, engineering and product teams to build metrics, evaluate system health, and experiment with new algorithms, contributing to scalable, low-latency online predictions

Qualifications

  • Advanced degree or industry experience in ML systems
  • Strong communication and collaboration across teams
  • Ability to learn quickly across engineering, ML and data science

Responsibilities

  • Collaborate with product, engineering and science teams to define and execute analyses
  • Develop metrics and monitoring to measure campaign health and system performance
  • Experiment with new algorithms and features to improve the ads platform
  • Analyze large ad auctions/data to extract actionable insights for ML models

Skills

Engineering experience
English communication
Cross-functional collaboration
ML systems knowledge

Education

Advanced degree in CS/Math or related field

Job description

Moloco is seeking a Senior Applied Scientist for Product Analytics Data Science to advance Moloco's AI-native advertising products. You will drive performance improvements in our Ads platform by understanding the ads ecosystem and customer needs, delivering data-driven insights and scientific solutions.

You’ll collaborate with R&D, engineering and product teams to build metrics, evaluate system health, and experiment with new algorithms, contributing to scalable, low-latency online predictions

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