Remitly

Remitly

Senior Data Scientist

Seattle, Washington United States · Senior

Sponsorship not specified$176k-$220kDetected 12 days ago
PythonSQLMachine LearningData ScienceData VisualizationStatisticsA/B TestingProduct ManagementProduct StrategyStakeholder ManagementExperimental DesignCommunicationCollaborationProblem SolvingMentoring

Stay score

odds of building a lasting career here

61Sponsors, lottery-bound
Cap-exempt (no lottery)0
Sponsors this role90
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$93,9121 entry
Level II$127,0262 entries
Level III$160,1183 entries
Level IV$193,2324 entries

$17,232 more — $193,232 — 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 $193,232 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) · Seattle-Tacoma-Bellevue, WA. 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 5 green-card filings in this occupation, 100% were for a worker who already held the job.

Green-card follow-through: 95%

Of 19 labor certifications old enough to have been used, 1 expired without the employer filing the next step. Median time from filing to decision: 485 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

5 transfer filings in the last year, covering 5 workers. Median labor-condition decision: 8 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.

Community outcomes

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About the role

  • Whether it's supporting loved ones back home, growing a business across continents, or pursuing new opportunities abroad, we're not just here to move money- we're here to move our global customers forward.
  • We're looking for builders, reimaginers, and global thinkers who want to work at the intersection of technology, trust, and transformation.
  • If that's you and you're ready to do the most meaningful work of your career-we invite you to join over 2,800 passionate Remitlians worldwide who are united by our vision to transform lives with trusted financial services that transcend borders.

Responsibilities

  • Turn product hypotheses into well-designed experiments plans.
  • Develop reusable standards for experiment design, analysis, and decision-making.
  • Mentor analysts and build shared practices through training, peer reviews, and practical tools.
  • Partner with Engineering and Analytics Engineering to improve instrumentation, data quality, and metric definitions, making product and growth measurement more reliable and reusable.

Requirements

  • 7+ years of experience in Product Analytics, Data Science, Decision Science, or a related analytical role.
  • Strong expertise in SQL and experience working with large-scale datasets.
  • Experience designing, executing, and analyzing experiments and A/B tests.
  • Proven track record influencing product decisions through data-driven insights.
  • Experience working closely with Product, Engineering, and Business teams.
  • Strong understanding of statistical methods, hypothesis testing, and causal inference.
  • Experience with Analytics and BI / Visualization tools (e.g., Tableau, Mode, Power BI, etc).

Nice to have

  • Experience in fintech, financial services, payments, lending, banking, or adjacent regulated industries.
  • Experience applying Python, R, or other analytical programming languages to predictive analytics use-cases.
  • Familiarity with data modeling, data warehousing, and modern analytics engineering practices.
  • Experience measuring and optimizing AI-powered products, features, and/or customer experiences.
  • Compensation Details.

Compensation

  • The starting base salary range for this position is typically $176,000 to $220,000 USD.
  • In the U.S., Remitly employees are shareholders in our Company and equity is part of our total compensation plan.
  • Your recruiter can share more information about medical benefits offered, as well as other financial benefits and total compensation components offered with this role.

Benefits

  • Flexible paid time off
  • Health, dental, and vision + 401k plan with company matching
  • Paid parental, medical, military and family care leave
  • Mental Health & Family Forming Benefits
  • Employee Stock Purchase Plan (ESPP)
  • Continuing education and travel benefits

Company info

  • Remitly is an E-Verify Employer At Remitly, we are dedicated to ensuring that our workplace offers equal employment opportunities to all employees and candidates, in full compliance with applicable laws and regulations.
  • At Remitly, we believe that true innovation sparks when we come together.
  • At Remitly, we are dedicated to ensuring that our workplace offers equal employment opportunities to all employees and candidates, in full compliance with applicable laws and regulations.

Equal opportunity

  • equal opportunity employer.

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