Staff Data Scientist – Ads Measurement, Signals, Privacy
GBRemotePosted Today$180,000 – $350,000
Full TimeSeniorRemoteGB
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Job Description
Reddit is a community of communities. It’s built on shared interests, passion, and trust, and is home to the most open and authentic conversations on the internet. Every day, Reddit users submit, vote
Key Highlights
- Design the Future of Ads Identity: Develop/employ probabilistic models for identity resolution. Design the methodology that links on-platform and off-platform actions to maximize addressability while honoring privacy.
- Advance Lift Methodologies & Experimentation: Own the statistical rigor behind Reddit’s Brand and Conversion Lift products. Innovate experimental design and develop infrastructure that supports large-scale, high-velocity, low-bias testing for advertisers.
- Maximize Signal for Predictive Performance: Define the strategy for new signal sources. You will mathematically quantify the value of these signals and work with modeling teams to incorporate them into predictive models, directly improving bidding efficiency and ROAS.
- Define Ground Truth & Evaluation Frameworks: Solve the industry-wide challenge of validating identity and measurement. Design the objective functions and truth sets used to train our models and measure the incremental impact of our identity graph.
- Advanced degree (Master’s or Ph.D.) in Statistics, Mathematics, Physics, Economics, or Operations Research
Qualifications
Required Qualifications
- Advanced degree (Master’s or Ph.D.) in Statistics, Mathematics, Physics, Economics, or Operations Research
- For M.S. holders: 10+ years of industry experience in applied science or data science roles
- For Ph.D. holders: 6+ years of industry experience in applied science or data science roles
- Deep understanding of the ads ecosystem
- Demonstrated expertise in at least one of the following areas:
- Measurement & Experimentation at Scale (with focus on lift and attribution)
- Identity Graph Creation & Resolution Methodology and Infrastructure
- Predictive Modeling with Signal Loss
- Advanced proficiency in statistical programming (Python or R) and SQL.
- Experience with machine learning or optimization techniques
- Strong understanding of experimental design, causal inference, or A/B testing methodologies
- Exceptional problem-solving and communication skills, with a track record of influencing product and engineering partners
- Experience working in fast-paced, ambiguous environments with cross-functional teams
Skills & Technologies
PythonSQLMachine Learning
About the Company
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Job Details
Employment Type
Full Time
Experience Level
Senior
Salary Range
$180,000 – $350,000
Location
GB
Work Mode
Remote
Posted
Today
Country
GB