Ranking AI Data Scientist for Ads Growth

Meta

Honolulu (HI)

On-site

USD 177,000 - 247,000

Full time

3 days ago
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Job summary

Meta is seeking a Data Scientist to advance and deploy AI for the Ads stack, collaborating across Product, Engineering, Research, and Finance to translate data into impactful product decisions. You will shape model space redesigns, test hypotheses, and help drive revenue targets by delivering measurable improvements.

The role emphasizes production-ready analytics, communication of insights, and leverage of anonymized data to scale solutions across billions of users and hundreds of millions of

Qualifications

  • Bachelor's degree in Computer Science, Computer Engineering, or equivalent.
  • At least 6 years analytics experience (4+ years with PhD).
  • Bachelor's degree in Mathematics or Statistics or equivalent.
  • Experience with SQL, Python, and/or R.

Responsibilities

  • Work with large and complex data sets to solve a wide array of problems using analytical and statistical approaches.
  • Apply quantitative analysis, experimentation, data mining, and data presentation to guide product strategies.
  • Identify and measure success through goal setting, forecasting, and monitoring key metrics.
  • Define opportunities and levers to improve the product and drive roadmaps through insights.
  • Partner with Product, Engineering, and cross-functional teams to inform, influence, and execute strategy.

Skills

Large data sets
Quantitative analysis
Forecasting metrics
Roadmap insights
Cross-functional collaboration

Education

Bachelor's in CS/Engineering
Bachelor's in Mathematics/Statistics
PhD

Tools

SQL
Python
R

Job description

Meta is seeking a Data Scientist to advance and deploy AI for the Ads stack, collaborating across Product, Engineering, Research, and Finance to translate data into impactful product decisions. You will shape model space redesigns, test hypotheses, and help drive revenue targets by delivering measurable improvements.

The role emphasizes production-ready analytics, communication of insights, and leverage of anonymized data to scale solutions across billions of users and hundreds of millions of

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