Deloitte

Deloitte

AI and Data Science Engineer II

McLean, Virginia · Mid

No sponsorship$87k-$171kDetected 27 days ago
Machine LearningDeep LearningData AnalysisData EngineeringData ScienceLLMsStatisticsCRMExperimental DesignCommunicationPublic Speaking

Stay score

odds of building a lasting career here

54Sponsors, lottery-bound
Cap-exempt (no lottery)0
Sponsors this role80
Entry-level history0
PERM / green-card track0
Lottery odds (Level III)83
Fits your clock70

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

Level I · 1×
Level I$92,8301 entry
Level II$118,0402 entries
Level III$143,2503 entries
Level IV$168,4594 entries

The bottom of this range ($86,700) is below the Level I prevailing wage of $92,830. An H-1B cannot be filed below the prevailing wage, so an offer at the floor of this band could not be sponsored as posted.

Based on the DOL prevailing wage for this occupation and worksite, a base salary of $118,040 would place this position at wage Level II. 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) · Washington-Arlington-Alexandria, DC-VA-MD-WV. Wage level is derived by USCIS from the offered wage, occupation and worksite; the occupation shown is inferred from the job title.

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About the role

  • The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled.
  • A reasonable estimate of the current range is $86,700 - $170,900.

Requirements

  • Ability to travel 30%, on average, based on the work you do and the clients and industries/sectors you serve.
  • experience and training

Nice to have

  • Experience with boosted trees, logistic regression, classification techniques, unsupervised models, large language models, or experimental design
  • Experience with data sets generated in advertising technology or marketing technology environments
  • Experience presenting complex data insights to non-technical audiences

Skills

  • Effective written and verbal communication skills
  • Meticulous attention to detail and quality of work product
  • Ability to build and sustain professional relationships
  • Ability to lead projects or workstreams
  • Strong interpersonal skills and professional demeanor
  • Ability to meet deadlines
  • Ability to provide clear guidance to others
  • Bachelor's degree in engineering, mathematics, physics, machine learning, statistics, computer science, or another quantitative field
  • 2+ years of industry experience outside of academia applying data science or machine learning methods
  • Must be legally authorized to work in the United States without the need for employer sponsorship, now or at any time in the future.
  • Master's degree in engineering, mathematics, physics, machine learning, statistics, computer science, or another quantitative field
  • Experience manipulating large marketing data sets and performing extract, transform, and load activities

Compensation

  • $87k-$171k

Company info

  • Deloitte's Advertising, Marketing & Commerce team creates content and experiences that inspire action.
  • We design and implement technology platforms for personalized marketing across all digital touchpoints, specializing in customer-centric B2B and B2C solutions.
  • Our in-house agency engages customers throughout their journey, working on projects like AdTech, MarTech, campaign automation, CRM, and lead-to-loyalty orchestration.
  • Join us to drive impactful customer interactions and business growth.

Visa & Work Authorization

  • Must be legally authorized to work in the United States without the need for employer sponsorship, now or at any time in the future

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