Peloton Technology

Peloton Technology

Manager, Data Analytics, Performance Creative

New York, New York · Senior

Sponsorship not specified$155k-$191kDetected 63 days ago
PythonAlgorithmsSQLMachine LearningData AnalysisData EngineeringData ScienceStatisticsA/B TestingMarketing AnalyticsCompensationCadenceLeadershipCommunication

Stay score

odds of building a lasting career here

59Sponsors, lottery-bound
Cap-exempt (no lottery)0
Sponsors this role80
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.

Personalize to your clock →

H-1B wage level

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

Level III · 3×
Level I$87,2561 entry
Level II$115,8352 entries
Level III$144,4143 entries
Level IV$172,9944 entries

$17,644 more — $172,994 — moves this role to Level IV and 4 lottery entries. That figure is inside the range the employer already advertised.

Based on the DOL prevailing wage for this occupation and worksite, a base salary of $172,994 would place this position at wage Level IV. That figure is within the posted range, and I'd like to target it. This role classifies under "Data Scientists" for prevailing-wage purposes.

DOL prevailing wage, 2026-27 wage year · Data Scientists (15-2051) · New York-Newark-Jersey City, NY-NJ. 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

Files H-1B transfers

7 transfer filings in the last year, covering 7 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

  • Reporting to the Director of Marketing Measurement Strategy, this role sits at the critical intersection of Data Science and Performance Creative, partnering closely with stakeholders across the global Marketing organization.
  • Rather than analyzing performance as a static output, this individual will interrogate granular creative metadata (dissecting formats, messaging angles, visual hooks, and narrative structures) to deduce deep historical learnings.
  • Serving as the team's institutional memory for creative performance, you will translate data into context-rich, highly executional insights that actively guide future testing and fuel a continuous creative evolution.

Responsibilities

  • Establish a consistent cadence for performance communication, democratising access to key insights across the organisation to drive cross-functional alignment and enable rapid, actionable decision-making
  • Develop and/or model an approach to test different combo of message + creative + funnel to identify what converts/engages the most throughout the funnel stages

Requirements

  • 4-5+ years of experience in Data Science, Marketing Analytics, Creative Analytics, or Marketing Science, with a heavy emphasis on media measurement and creative performance evaluation
  • Strong proficiency in SQL and experience using statistical programming languages like Python or R for large-scale data analysis and modeling
  • Hands-on experience with experimentation methodologies, causal inference, synthetic controls, matched market testing, and regression analysis
  • Bachelor's or Master's degree in a quantitative discipline (Statistics, Data Science, Economics, Mathematics) or equivalent practical experience

Skills

  • At home, outdoors, traveling, or at the gym, Peloton brings together innovative hardware, distinctive software, and exclusive content.
  • For more information, visit www.onepeloton.com.
  • Peloton is an equal opportunity employer and complies with all applicable federal, state, and local fair employment practices laws.

Compensation

  • $155,350 - $190,850 USD
  • This policy of equal employment opportunity applies to all practices and procedures relating to recruitment and hiring, compensation, benefits, termination, and all other terms and conditions of employment.

Benefits

  • Maintain deep expertise across platforms including Meta, TikTok, Google, YouTube, and Pinterest, translating auction dynamics, machine learning optimization, and delivery systems into actionable creative briefs
  • Peloton (NASDAQ: PTON) provides Members with expert instruction, and world class content to create impactful and entertaining workout experiences for anyone, anywhere and at any stage in their fitness journey.

Company info

  • Founded in 2012 and headquartered in New York City, Peloton has millions of Members across the US, UK, Canada, Germany, Australia, and Austria.
  • At Peloton, we embrace technology, including AI, to enhance productivity and accelerate innovation in the work we do for our members.

Visa & Work Authorization

  • eran status, sexual orientation, gender identity or expression, marital and civil partnership/union status, alienage or citizenship status, creed, genetic predisposition or carrier status, unemployment status, familial s

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