Director, Data Science - New Revenue Bets
New York, NY
- Pay
$253,000–314,000/year — pay source
**Public Compensation:** $253,000/year to $314,000/year + bonus + equity + benefits **Industry:** Internet
Read the full posting- Work setting
- Not stated
- Employment
- Not stated
What you’ll work on
Full postingProvide senior analytical leadership across Subscriptions, BizAI and XF APAC workstreams
Define measurement frameworks and success metrics for nascent revenue products
Synthesize complex analysis into insights for executives shaping investment decisions
Drive analytics on subscriber growth, retention, LTV and pricing strategy
Coach ICs and managers and model how to integrate AI into analytical work
From the employer’s posting
Provide senior analytical leadership across New Revenue Bets workstreams - Subscriptions, BizAI, and XF APAC
Define measurement frameworks and success metrics for nascent revenue products where playbooks don't yet exist
synthesize complex analysis into actionable insights for executive audiences and shape investment decisions at the highest levels
Drive analytical insights on subscriber growth, retention, LTV modeling, pricing/packaging strategy, and product-market fit
Elevate the craft and impact of other ICs and managers through coaching, collaboration, and exemplar work
What you’ll bring
All qualificationsCore experience
- Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
- 12+ years of experience in data science, analytics, or a quantitative field
- Proven ability to context-switch across disparate problem domains (growth, monetization, international expansion, AI products) while maintaining high-quality output
- Experience thriving in multi-team, multi-stakeholder environments with the ability to build trust quickly and drive outcomes through influence
- Ability to synthesize complex analysis into clear narratives for VP+ and cross-functional leadership
Preferred experience
- Familiarity with Meta's data infrastructure (large-scale data querying tools (e.g., Hive, Presto, Spark), experimentation platforms, and ML infrastructure)
- Experience in subscription/recurring-revenue businesses (LTV modeling, retention analytics, pricing strategy)
- Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews)
- Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements)
Qualification wording
16. Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
17. 12+ years of experience in data science, analytics, or a quantitative field
20. Proven ability to context-switch across disparate problem domains (growth, monetization, international expansion, AI products) while maintaining high-quality output
22. Experience thriving in multi-team, multi-stakeholder environments with the ability to build trust quickly and drive outcomes through influence
24. Ability to synthesize complex analysis into clear narratives for VP+ and cross-functional leadership
25. Familiarity with Meta's data infrastructure (large-scale data querying tools (e.g., Hive, Presto, Spark), experimentation platforms, and ML infrastructure)
27. Experience in subscription/recurring-revenue businesses (LTV modeling, retention analytics, pricing strategy)
28. Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews)
29. Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements)
Education & alternatives
Minimum Qualifications: 16. Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience 17. 12+ years of experience in data science, analytics, or a quantitative field
17. 12+ years of experience in data science, analytics, or a quantitative field 18. Advanced degree (MS/PhD) in Statistics, Economics, Computer Science, or related quantitative discipline 19. Demonstrated company-wide influence, cross-org strategy, and sustained execution on high-complexity problems
Tools in this posting
- Hive
- Spark
Source — Tool mentions in context
Preferred Qualifications: 25. Familiarity with Meta's data infrastructure (large-scale data querying tools (e.g., Hive, Presto, Spark), experimentation platforms, and ML infrastructure) 26. Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies
Posting record
Report an errorActively hiringFirst seen by us 11 days ago, still listed, and not a repost of an earlier listing.
- Status in our records
- Live
- First seen by us
- Oct 14, 2026 · 11 days ago
- Recorded sightings
- 2
- Last seen by us
- Oct 25, 2026
- Employer says posted
- Oct 2, 2026
We found this posting on the National Labor Exchange. These dates show when we found the listing. Check the employer’s website to confirm it is still accepting applications.
Your next step
- Have your resume and examples of relevant work ready.
- Check the listed location, eligibility and core experience before starting.
Complete your application on www.metacareers.com. The employer’s form will show what is required.
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Job description
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Source excerptsSelected passages from the saved posting. Check the full description for conditions and exceptions.
- Pay
**Public Compensation:** $253,000/year to $314,000/year + bonus + equity + benefits **Industry:** Internet
- Location & working pattern
New York, NY
Working pattern and location restrictions need checking in the full posting.
- Work authorization
No clear work-authorization passage found. Eligibility is unconfirmed.
This posting reached us through a job exchange.
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