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 Data Scientist, Product Analytics - Ads Integrity
data sciencemachine learningadsadvertisingfraud detectionpythonrsqlpandasexperimental designstatisticsregressionlinear modelscampaign metricsdata analysis
Key details
Salary
$172K – $215K
Employment type
Full-time
Seniority
Senior
Years experience
5+
Location
Menlo Park, California, United States; Seattle, Washington, United States
Full job description
Moloco is seeking a Senior Data Scientist for its Product Analytics Data Science team to improve performance of its core Ads product. The role involves conducting deep-dive analysis on large datasets, evaluating ads integrity including fraud detection, and building metrics to measure campaign health. Candidates must have strong problem-solving skills, statistical knowledge including experimental design and hypothesis testing, and programming experience with Python, R, SQL, or similar tools. The position requires 6+ years of experience in data science or an advanced quantitative degree with 4+ years experience. Excellent communication skills and ability to manage multiple projects and collaborate cross-functionally are essential. The role is full-time and hybrid, based in Menlo Park, CA or Seattle, WA. Salary range is $172,000 to $215,000 USD with competitive benefits.
What you'll do
- Conduct deep-dive analysis to influence R&D decisions and strategies
- Analyze large datasets to extract valuable signals and produce actionable insights
- Evaluate ads integrity by diagnosing fraud claims and mitigating fraud escalations
- Build metrics to measure campaign health and improve campaign performance monitoring
- Understand cause-and-effect relationships across drivers in the ads ecosystem
Requirements
- Distinctive problem-solving skills
- Ability to articulate product questions
- Experience pulling data from large datasets
- Strong statistical knowledge and experience in experimental design, hypothesis testing, regression, and linear models
- Programming experience with Python, R or other scripting languages
- Experience with database languages such as SQL or data manipulation tools like Pandas or Dplyr
- Excellent verbal and written communication skills
- Ability to manage multiple projects simultaneously
- Proven ability to own complex projects end-to-end
- Ability to build positive relationships within teams and with stakeholders
- 6+ years of work experience in data science related fields or advanced degree with 4+ years experience
- Bachelor’s, Master’s or PhD in a quantitative discipline (Statistics, Operations Research, Economics, Computer Science, Mathematics, Physics, Electrical Engineering, Industrial Engineering)
Tech stack
PythonRSQLPandasDplyrExperimental DesignHypothesis TestingRegressionLinear Models
Benefits
Competitive benefits packageInnovative benefits supporting employee and family well-beingInclusive and diverse work environment
Apply now
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