4 дня назад
Staff Data Scientist (Content Growth & Creator Strategy)
190 000 - 283 000$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Staff Data Scientist (Content Growth & Creator Strategy) (Statistics/Python/SQL): Driving product strategy for emerging content surfaces such as Video, Groups, and Events through experimentation, product analytics, and scalable data assets with an accent on causal inference, network experimentation, and data quality. Focus on identifying content supply and engagement opportunities, building source-of-truth tables and dashboards, and distinguishing true product impact from confounding factors.
Location: US Remote; participation in in-person events and relationship-building activities may be expected.
Salary: $190,000–$283,000 annualized, with the range determined by geographic location; meaningful equity grant also offered.
Company
is a neighborhood network connecting neighbors, public agencies, and businesses around local information across more than 350,000 neighborhoods in 11 countries.
What you will do
- Own end-to-end data science for emerging content surfaces including Video, Groups, and Events.
- Design and measure standard and non-standard experiments to guide feature decisions.
- Develop exploratory analyses and strategic insights to identify opportunities in content supply, creator contribution, discovery, and engagement.
- Build scalable metrics, dashboards, and source-of-truth data assets for product decision-making.
- Own data architecture and quality requirements across creators, viewers, entities, content types, and surfaces.
- Partner with Product, Design, Engineering, Research, Distribution, and Analytics Engineering.
Requirements
- Staff-level Data Scientist or Tech Lead experience, ideally in social media or consumer technology.
- Master’s degree or Ph.D. in Statistics.
- Expertise in non-randomized A/B testing, network experimentation, advanced causal inference, and bias controls.
- Experience owning product analytics from opportunity identification and strategy through feature launch and measurement.
- Expert knowledge of SQL and Python, including numpy, pandas, scikit-learn, and common data science tools.
- Strong communication, autonomous technical leadership, and cross-functional collaboration skills.
Culture & Benefits
- AI-first working environment with active use of tools such as Claude, Gemini, ChatGPT, and Glean.
- Hybrid employment model combining office presence and work from home for employees near offices.
- Health plan options, including a fully covered employee-only plan option.
- OneMedical membership for concierge care.
- Quarterly equity vesting, with the first vest date within three months of starting.
- In-person trainings, off-sites, volunteer days, and team-building activities.
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