4 дня назад
Senior Product Data Scientist
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Senior Product Data Scientist (Product Analytics and Data Science): Building experimentation frameworks, product analyses, and predictive models to improve subscriber engagement and retention with an accent on A/B testing, churn and propensity modelling, LTV estimation, and behavioural segmentation. Focus on designing rigorous experiments, identifying drivers of subscription behaviour, and turning complex analysis into product decisions.
Location: London, United Kingdom; hybrid
Company
is a global streaming service, production company, and film distributor focused on bringing visionary cinema to audiences worldwide.
What you will do
- Design A/B tests, define success and guardrail metrics, analyse results, and recommend whether product changes should ship.
- Embed with the Engagement & Discovery product squad to size opportunities, define feature metrics, and guide the product roadmap with data.
- Develop analyses, models, and experiments that support product managers, engineers, designers, and other stakeholders.
- Investigate the drivers of subscriber engagement and retention across viewing behaviour, curation, pricing, and lifecycle.
- Build churn and propensity models, LTV estimates, and behavioural segmentations.
- Use AI tools such as Claude Code to accelerate analysis and modelling.
Requirements
- 3–5 years of experience in product analytics, product data science, or a similar role, ideally in a consumer subscription or digital product business.
- Strong knowledge of statistics, experimentation, and machine learning.
- Strong SQL and Python skills for daily analysis and modelling.
- Hands-on experience designing, running, and analysing experiments, including knowing when an A/B test is not appropriate.
- Strong communication, collaboration, independent thinking, and problem-solving skills.
- Familiarity with Claude Code or similar AI tools.
Nice to have
- Postgraduate qualification in data science, statistics, or a related quantitative field.
- Experience with dbt, Snowflake, and modern BI tools such as Omni.
- Experience in a fast-paced, high-growth environment such as a startup or scale-up.
- Genuine interest in film and ’s mission.
Culture & Benefits
- Work as part of a global team across London, New York, Istanbul, Paris, Berlin, and Mexico.
- Collaborate in a multidisciplinary product environment with product managers, engineers, and designers.
- Contribute to a mission focused on making cinema accessible to everyone.
- Commitment to equal opportunity and inclusive hiring.
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