The Trade Desk
Business Development GM (Holdco)
New York, New York, United States•19 days ago
$134K – $245K
business developmentsalesagency
Data Science19 days agoHybrid
Moloco
Senior Applied Scientist, ML (MCM)
machine learningdeep learningad-techrankingretrievalbiddingoptimizationA/B testingPythonJavaC++data sciencecausal inference
Key details
Salary
$184K – $230K
Employment type
Full-time
Seniority
Senior
Years experience
5+
Location
Menlo Park, California, United States; San Francisco, California, United States
Full job description
Moloco is seeking a Senior Applied Scientist for its Moloco Commerce Media (MCM) product focused on machine learning in ad-tech. The role involves designing and deploying ML models to optimize bidding, ranking, retrieval, and budget pacing in a complex ad delivery system. Candidates should have an MS or Ph.D. in a quantitative field, 6+ years of relevant experience (or 4+ years with an advanced degree), and proficiency in Python, Java, or C++. Experience in ad-tech, ranking, retrieval, or search quality is preferred. Responsibilities include deep data analysis, model development, metric framework creation, and guiding A/B testing to improve ad performance. The position offers a competitive salary range of $184,000 to $230,000 USD and a benefits package. The role is full-time with hybrid work options, located in Menlo Park or San Francisco, California.
What you'll do
- Conduct deep-dive analysis to influence R&D decisions and strategies
- Analyze large datasets and extract valuable signals
- Design state-of-the-art machine learning models to optimize complex bidding systems
- Design and deploy advanced optimization approaches for ad-delivery
- Identify best ranking, retrieval and bidding strategies balancing ROI and revenue
- Leverage latest advances in deep learning to improve search quality
- Build metrics for product areas and guide ramps with domain data expertise
- Improve performance monitoring of a large and complex ads ecosystem
- Establish metric frameworks and understand cause-and-effect relationships
- Guide ramp decisions through rigorous A/B testing
Requirements
- MS or Ph.D. degree in a quantitative discipline with exposure to advanced modeling and statistical techniques
- 6+ years of work experience in data science related fields or an advanced degree with 4+ years of experience
- Experience with one or more programming languages including Python, Java or C++
- Past experience with ad-tech, ranking, retrieval and/or search quality preferred
- 4+ years of experience in Data Science with a focus on experimentation and causal inference in a high-growth tech environment (AdTech preferred)
- Demonstrated leadership and self-direction
Tech stack
PythonJavaC++machine learningdeep learningA/B testingoptimizationrankingretrievalauction/biddingbudget pacing
Benefits
Competitive benefits packageSupportive work environment focused on inclusion and well-beingOpportunities for growth and learningInnovative benefits empowering employees to take care of themselves and their families
Apply now
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