Senior Data Scientist (AI)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
TL;DR
Senior Data Scientist (AI): Analyzing user onboarding patterns and platform performance to drive strategic product decisions with an accent on statistical modeling, A/B testing, and data pipeline development. Focus on building analytical tools and leveraging AI-enabled workflows to improve user experience and operational efficiency for a leading TV streaming platform.
Location: Must be based in San Jose, United States (Hybrid: in-office Monday–Thursday).
Company
is the #1 TV streaming platform in the U.S., Canada, and Mexico, dedicated to connecting the entire TV ecosystem through innovative streaming technology.
What you will do
- Develop and maintain dashboards and data visualizations to monitor key operational and system health metrics.
- Analyze structured and unstructured data to provide actionable insights for product and engineering stakeholders.
- Design and execute A/B tests to measure the impact of product changes.
- Build data pipelines to support automation, validation, and reporting.
- Develop analytical tools, including real-time alerts and statistical models, to optimize the onboarding platform.
- Provide data-driven recommendations to leadership regarding performance and new opportunities.
Requirements
- 5+ years of work experience in a quantitative field (Statistics, Data Science, Economics, Engineering, etc.).
- 5+ years of experience in user onboarding, consumer product, or digital media industries.
- Proficiency in SQL, R, or Python for data analysis.
- Hands-on experience with visualization tools like Tableau or Looker.
- Proven experience with A/B testing, statistical modeling, or forecasting.
- Ability to thrive in a fast-paced environment and resolve complex analytical problems.
Culture & Benefits
- Comprehensive benefits package including healthcare (medical, dental, vision), life, accident, and disability insurance.
- Retirement options including 401(k) and pension plans.
- Global access to mental health and financial wellness resources.
- Collaborative and inclusive work environment focused on problem-solving and innovation.
- Flexible Friday remote work policy for most roles.
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