Netflix

Netflix

Analytics Engineer 5 - Demand Science

Los Angeles,California,United States of America · Senior · Full-time

Sponsorship not specified$330k-$566kDetected 1 day ago
PythonSQLMachine LearningSparkData AnalysisData EngineeringData ScienceLLMsCommunicationCollaborationHadoop

Stay score

odds of building a lasting career here

64Sponsors, lottery-bound
Cap-exempt (no lottery)0
Sponsors this role100
Entry-level history0
PERM / green-card track0
Lottery odds (Level IV)94
Fits your clock70

Sponsors, but it's cap-subject — you still face the weighted lottery (~61% per draw at Level IV). Good if you win; have a cap-exempt backup on your list.

Lottery odds assume a STEM candidate.

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H-1B wage level

the lottery is wage-weighted — each level is one more entry

Level IV · 4×
Level I$77,5841 entry
Level II$106,9952 entries
Level III$136,4063 entries
Level IV$165,8184 entries

This range already reaches Level IV — the maximum four lottery entries.

DOL prevailing wage, 2026-27 wage year · Data Scientists (15-2051) · Los Angeles-Long Beach-Anaheim, CA. Wage level is derived by USCIS from the offered wage, occupation and worksite; the occupation shown is inferred from the job title.

Employer immigration record

from this employer's Department of Labor filings

Green-card filing pattern in this occupation

Context, not a finding about this posting: of this employer's 6 green-card filings in this occupation, 100% were for a worker who already held the job.

Green-card follow-through: 85%

Of 40 labor certifications old enough to have been used, 6 expired without the employer filing the next step. Median time from filing to decision: 496 days.100% of their filings were for a worker who already held the job.Only certifications past the 180-day window are counted — recent ones cannot have expired yet.

Files H-1B transfers

160 transfer filings in the last year, covering 388 workers. Median labor-condition decision: 7 days. An employer that already files transfers is one that can take over an existing H-1B.

Sourced from Department of Labor LCA, PERM and prevailing-wage disclosure data. Employer matching is by name, so figures may be split across an employer's legal entities. Absence of a filing means none appears in our copy of the data, not that none exists.

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About the role

  • The Demand Science team within Ads Data Science & Engineering plays a crucial role in Netflix Ads growth by equipping the business to efficiently attract, activate, and scale advertiser demand.
  • The range for this role is $330,000.00 - $566,000.00.
  • We also offer paid leave of absence programs.

Responsibilities

  • Partner directly with stakeholders (e.g., Scientists, Product Managers, Engineers) on media planning and campaign management analytics initiatives.
  • Lead open-ended discovery, surfacing risks and opportunities before they're asked for.
  • Own end-to-end development of the analysis, metrics, and tools used across Ads Demand.
  • Partner with data engineering to keep analytics data reliable and available.

Nice to have

  • Experience with LLM techniques that accelerate data analysis.
  • 5+ years in a data analytics or data science function, with a track record of independent, open-ended analysis, in addition to dashboard delivery.
  • 5+ years of experience in leveraging technical skills in manipulating large data sets with complex SQL and Python (or similar languages), big data technologies (e.g., Hadoop, Spark), and visualization tools
  • Comfort with ambiguity
  • able to take ownership, and thrive with minimal oversight and process
  • Track record of turning analysis into a point of view that changes roadmap or product decisions.
  • Experience managing stakeholders' asks, expectations, and relationships across a variety of stakeholders
  • Exceptional communication and collaboration skills coupled with strong business curiosity and acumen

Compensation

  • $330k-$566k

Benefits

  • Define and evolve the metrics that describe campaign and planning health.

Company info

  • At Netflix, our mission is to entertain the world.
  • Together, we are writing the next episode - pushing the boundaries of storytelling, global fandom and making the unimaginable a reality.
  • We are a dream team obsessed with the uncomfortable excitement of discovering what happens when you merge creativity, intuition and cutting-edge technology.

This listing is sourced directly from Netflix's careers page and normalized into a canonical job model.