Pinterest5 дней назад
Senior Data Scientist, Trust & Safety and Content Quality
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РЫНОК
14 583 ₽медиана по профессии
Data Scientist · 21 вакансий с указанной зарплатой
7 333половина предложений: 12 500–20 00031 333
Работодатель не указал зарплату — сравните с рынком сами.
Toronto
Обязанности
- 01Design and develop ML-assisted sampling techniques to measure the prevalence of unsafe content
- 02Apply rigorous statistical methods to calculate prevalence rates for specific Trust & Safety policy violations
- 03Build large-scale data pipelines to aggregate user-generated queries, system responses, and recommended content for safety labeling
- 04Partner cross-functionally to orchestrate offline dashboards and online production workflows for continuous safety monitoring
- 05Collaborate with Trust & Safety teams to translate safety policies into LLM prompts and coordinate labeling queues
- 06Define and evangelize high-quality content standards and build statistical frameworks to measure content quality
- 07Analyze and model the end-to-end content distribution funnel to inform content selection and ranking
- 08Lead development of improved methodologies for evaluating the quality of external website links
- 09Develop best practices for instrumentation and experimentation to improve metric sensitivity
- 10Design reusable tooling and workflows for ongoing metrics monitoring and reporting
- 11Leverage AI for faster execution, information synthesis, and automation of repeatable tasks
Требования
- 015+ years of experience analyzing data in a fast-paced, data-driven environment
- 02Extensive experience solving analytical problems using quantitative approaches in Machine Learning, Statistical Modeling, Forecasting, Econometrics, or related fields
- 03Strong interest and hands-on experience in platform safety, prevalence measurement, content quality measurement, adversarial testing, responsible data measurement, or Trust & Safety
- 04Deep familiarity with measurement challenges of complex ecosystems and statistical interpretation of multimodal data
- 05Experience designing and calibrating measurement frameworks and managing complex logging tables
- 06Experience using machine learning and deep learning frameworks such as PyTorch, TensorFlow, or scikit-learn
- 07Strong quantitative programming (Python) and data manipulation skills (SQL/Spark)
- 08Experience with complex ML pipelines and up-sampling
- 09Scientifically rigorous approach to analysis with skepticism, intellectual curiosity, and attention to detail
- 10Ability to drive ambiguous measurement projects end-to-end with high ownership
- 11Excellent written and verbal communication skills
Условия
- 01Work on platform serving over 500 million monthly active users globally
- 02Highly collaborative and cross-functional environment
- 03Partnership with ML Engineers, Trust & Safety Ops, subject matter expert teams, and Product Managers
- 04Direct influence on platform safety metrics, policy compliance, and executive-level visibility