4 дня назад
Lead Data Scientist (AI)
170 000 - 190 000$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Lead Data Scientist (AI): Building segmentation, customer lifetime value, retention, forecasting, and experimentation models for Fandango and Rotten Tomatoes analytics with an accent on predictive modeling, causal inference, and scalable data products. Focus on setting organization-wide analytical standards, integrating AI into workflows, and solving complex problems across Product, Engineering, Marketing, and Finance.
Location: Hybrid position based at 10 Universal City Plaza, Universal City, California, with a minimum of three office days per week
Salary: $170,000–$190,000 annually, bonus eligible
Company
is a media and entertainment company operating brands across news, finance, golf, sports, and genre entertainment, including Fandango and Rotten Tomatoes.
What you will do
- Lead core modeling work across customer segmentation, lifetime value, retention, and forecasting.
- Set methodological standards for experimentation, statistical analysis, and causal inference.
- Build reusable models, frameworks, and scalable self-service data products.
- Identify and implement AI solutions that improve analytical workflow speed and quality.
- Partner with Product, Engineering, Marketing, and Finance to turn modeling into business recommendations.
- Mentor analysts and scientists while promoting responsible AI, risk assessment, and bias mitigation.
Requirements
- Degree in a quantitative or technical field, or equivalent practical experience.
- 7+ years of experience in data science or analytics, including technical leadership as an individual contributor.
- Hands-on expertise in predictive modeling, machine learning, segmentation, lifetime-value modeling, and forecasting.
- Strong knowledge of experimentation and causal inference, with experience setting organizational standards.
- Expert SQL skills, a modern data science toolkit, and understanding of data pipelines and data modeling.
- Experience providing AI technical leadership, communicating with senior stakeholders, and mentoring other analysts or scientists.
Nice to have
- Experience in media, streaming, entertainment, or consumer subscription and transactional businesses.
- Advanced degree in a quantitative field.
Culture & Benefits
- Hybrid work with regular office collaboration.
- Medical, dental, and vision insurance.
- 401(k), paid leave, and tuition reimbursement.
- Additional discounts and employee perks.
Hiring process
- External candidates may be required to attend an in-person interview with a Media employee before a hiring decision.
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