Early Warning Services, LLC
Paze Product Data Scientist II
New York, New York, USA · Mid · full-time
Stay score
odds of building a lasting career here
Sponsors, but it's cap-subject — you still face the weighted lottery (~45% per draw at Level III). 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
$22,414 more — $144,414 — moves this role to Level III and 3 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 $144,414 would place this position at wage Level III. 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
Green-card follow-through: 43%
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
- Positions located in Scottsdale, San Francisco, Chicago, or New York follow a hybrid work model to allow for a more collaborative working environment.
Requirements
- Experience partnering directly with Product Managers, product leadership, or cross-functional product teams.
- Experience with experimentation, A/B testing, causal inference, segmentation, funnel analysis, cohort analysis, forecasting, or predictive modeling.
- Must be able to lift 10 pounds occasionally and/or negligible amount of force frequently.
- Employee must be able to perform essential functions and physical requirements of position with or without reasonable accommodation.
Nice to have
- Candidates responding to this posting must independently possess the eligibility to work in the United States, for any employer, at the date of hire.
- This position is ineligible for employment Visa sponsorship.
- Apply data science and statistical methods to evaluate Paze product performance, customer behavior, feature adoption, conversion, retention, and product friction.
- identify data quality issues, risks, and trends and recommend improvements.
- Bachelor's Degree in Mathematics, Statistics, Computer Science, Operational Research or related field
- Typically a minimum of 4 years data science, engineering, mathematics, or related work experience is required.
- Experience in writing and tuning SQL.
Compensation
- York, NY/ San Francisco, CA in USD per year is:
- $122,000 - $165,000.
- Additionally, candidates are eligible for a discretionary incentive plan and benefits.
- This pay scale is subject to change and is not necessarily reflective of actual compensation that may be earned, nor a promise of any specific pay for any specific candidate, which is always dependent on legitimate factors considered at the time of job offer.
- Paid Time Off - Flexible Time Off for Exempt (salaried) employees, as well as generous PTO for Non-Exempt (hourly) employees, plus 11 paid company holidays and a paid volunteer day.
Benefits
- 401(k) Retirement Plan -Featuring a 100% Company Safe Harbor Match on your first 6% deferral immediately upon eligibility.
- Paid Time Off - Flexible Time Off for Exempt (salaried) employees, as well as generous PTO for Non-Exempt (hourly) employees, plus 11 paid company holidays and a paid volunteer day.
- We continue to enhance our program, so be sure to check our Benefits page here for the latest.
- The company also prohibits discrimination on other bases such as medical condition, marital status or any other factor that is irrelevant to the performance of our employees.
Company info
- At Early Warning, we've powered and protected the U.S. financial system for over thirty years with cutting-edge solutions like Zelle, Paze, and so much more.
- Requires the ability to communicate with internal and/or external customers.
- As part of our hiring process, we electronically verify the employment eligibility of all new hires through E-Verify.
Equal opportunity
- Early Warning Services is an equal opportunity employer.
Visa & Work Authorization
- This position is ineligible for employment Visa sponsorship.
This listing is sourced directly from Early Warning Services, LLC's careers page and normalized into a canonical job model.