Verizon

Verizon

Principal Engineer - Data Science

San Jose, Santa Clara County · Principal

Sponsorship not specified$173k-$231kDetected 120 days ago
Data Science

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 II · 2×
Level I$125,4861 entry
Level II$168,9172 entries
Level III$212,3263 entries
Level IV$255,7574 entries

$38,977 more — $212,326 — 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 $212,326 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) · San Jose-Sunnyvale-Santa Clara, CA. Wage level is derived by USCIS from the offered wage, occupation and worksite; the occupation shown is inferred from the job title.

Community outcomes

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About the role

  • When you join Verizon You want more out of a career.
  • A place to share your ideas freely - even if they're daring or different.
  • Where the true you can learn, grow, and thrive.

Compensation

  • $173k-$231k

Benefits

  • Our V Team is a community of people who anticipate, lead, and believe that listening is where learning begins.

Company info

  • At Verizon, we power and empower how people live, work and play by connecting them to what brings them joy.

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