9 часов назад
Senior Data Science Manager (AI)
239 200 - 483 200$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Senior Data Science Manager (AI) (Data Science, Machine Learning): Building the intelligence and decision layer of TikTok’s data stack by leading data science and analytics across user growth, security, search, live, enterprise, and other business domains with an accent on organizational leadership, strategic measurement, and advanced analytical methodologies. Focus on applying causal inference, machine learning, and AI to evaluate product levers, optimize ROI, and turn massive distributed datasets into executive-level decisions.
Location: San Jose, United States; fully in-person schedule up to 5 days a week
Salary: $239,200–$483,200 annually, plus potential discretionary bonuses, incentives, and restricted stock units.
Company
operates data privacy, cybersecurity, trust and safety, and U.S. user data protection programs for TikTok’s apps and algorithm.
What you will do
- Build, scale, and mentor a multi-layered data science and analytics organization.
- Define and execute analytical roadmaps across user growth, customer service, account security, social, live and gifting, search, local services, and corporate functions.
- Translate complex and massive data ecosystems into strategic insights, business actions, and measurable value.
- Champion causal inference, machine learning, and AI methodologies to evaluate product levers, ecosystem health, and business ROI.
- Partner with leaders across Product, Engineering, Operations, Finance, Legal, and Government Relations.
Requirements
- Bachelor’s or Master’s degree in Computer Science, Mathematics, Economics, Statistics, or another highly quantitative technical field.
- 5+ years of experience in analytics or data science within social media, digital entertainment, or technology companies, including 3+ years in management.
- Deep proficiency in SQL and Python or R, with experience working with massive distributed datasets and building measurement frameworks.
- Exceptional communication, stakeholder management, and senior leadership influence skills.
- Experience managing broad product portfolios across consumer growth and corporate or enterprise functions.
Nice to have
- Experience integrating machine learning and generative AI into product analytics, automated data insights, or developer workflows.
- Expertise in high-growth, matrixed product ecosystems such as live and gifting, creator monetization, or local services.
- Experience aligning data strategies across international partners, time zones, and regional entities.
Culture & Benefits
- Medical, dental, and vision insurance available from day one.
- 401(k) savings plan with company match, paid parental leave, disability coverage, and life insurance.
- Wellbeing benefits, 10 paid holidays, 10 paid sick days, and 17 days of paid personal time.
- Culture centered on curiosity, humility, resilience, continuous learning, inclusion, and an “Always Day 1” mindset.
- Reasonable accommodations are available during recruitment for qualified candidates.
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