Reddit9 дней назад
Sr. Staff Data Scientist - Ads Measurement, Signals, Privacy
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РЫНОК
18 058 ₽медиана по профессии
Data Scientist · 9 вакансий с указанной зарплатой
12 500половина предложений: 13 417–20 00031 333
Работодатель не указал зарплату — сравните с рынком сами.
Toronto
Обязанности
- 01Define the long-term data science vision & strategy across ads measurement, signal quality, identity, attribution, and privacy
- 02Create rigorous frameworks for validating lift, attribution, identity quality, modeled conversions, signal loss recovery, and privacy-aware measurement
- 03Lead the evolution of Reddit’s experimentation and lift methodologies across Brand Lift, Conversion Lift, Split Testing, and emerging measurement products
- 04Partner with Ads Engineering to operationalize complex causal models in production environments
- 05Quantify how signal quality, match rates, identity resolution, modeled conversions, and privacy changes affect bidding efficiency, CPA, ROAS, and advertiser outcomes
- 06Lead a privacy-first measurement paradigm and create compliant modeling approaches
- 07Lead cross-org efforts to define reusable methodologies, dashboards, scorecards, quality metrics, and best practices
- 08Partner with senior leaders across Product, Engineering, Sales, Marketing Science, Legal/Privacy, and Ads leadership to shape roadmap decisions
- 09Mentor Staff and Senior data scientists and raise the bar for causal inference and measurement science across Ads DS
Требования
- 01Advanced degree in Statistics, Economics, Mathematics, Computer Science, Operations Research, Physics, or a related quantitative field, or equivalent industry experience
- 0210+ years of industry experience in data science, applied science, economics, statistics, or a related quantitative role
- 03Deep expertise in ads measurement, experimentation, causal inference, attribution, marketplace measurement, or ads optimization
- 04Proven track record leading ambiguous, cross-functional, multi-pillar problem spaces with measurable business impact
- 05Strong command of statistical modeling, experimental design, causal inference, and measurement methodology
- 06Experience defining metrics, evaluation frameworks, quality guardrails, and decision systems for complex products
- 07Demonstrated ability to balance long-term strategic vision with hands-on execution of complex technical ideas
- 08Advanced proficiency in SQL and Python or R
- 09Ability to influence senior product, engineering, and business leaders through clear technical judgment and communication
- 10Demonstrated ability to mentor senior ICs and improve technical standards across a data science organization
- 11Demonstrated agility in adopting AI tools to amplify your personal output, turning complex methodologies into working prototypes