Citizens Financial Group

Citizens Financial Group

Sr Data Scientist- Wealth Management

United States · Senior

Sponsorship not specified$124k-$165kDetected 4 days ago
PythonSQLRedshiftAWSMachine LearningData ScienceStatisticsMarketing AnalyticsCadenceCommunicationCollaborationPublic Speaking

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odds of building a lasting career here

59Sponsors, lottery-bound
Cap-exempt (no lottery)0
Sponsors this role100
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.

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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: 47%

Of 30 labor certifications old enough to have been used, 16 expired without the employer filing the next step. Median time from filing to decision: 496 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

25 transfer filings in the last year, covering 25 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

  • Note, Citizens' paid time off policy exceeds the mandatory, paid sick or paid time-away policy of every local and state jurisdiction in the United States.

Responsibilities

  • Serve as a strategic analytics partner to Wealth Management business leaders, proactively identifying opportunities to leverage data and modeling to drive client acquisition, retention, and AUM growth.
  • Develop structured analytic plans that account for available data, business partner requirements, and delivery timelines.
  • Collaborate with digital media and marketing partners to analyze campaign performance, support ongoing reporting, and provide insights that inform testing strategies.
  • Manage multiple concurrent deliverables in a deadline-driven environment, maintaining quality and communication across stakeholders.
  • Lead cross-channel marketing analytics and measurement across mail, email, paid social, programmatic, TV, radio, and OOH - owning KPI standardization, reporting cadence, and data quality across platforms and partners.

Requirements

  • Required Qualifications
  • Master's degree in Statistics, Data Science, Analytics, Computer Science, Mathematics, Economics, or other directly related field

Skills

  • Actual pay is based on various factors including, but not limited to, the budget, work location, and relevant skills and experience.

Compensation

  • The salary range for this position is $124,000- $165,000 per year, plus an opportunity to earn additional incentive earnings.
  • Actual pay is based on various factors including, but not limited to, the budget, work location, and relevant skills and experience.
  • No other portions of the posting are changing, including benefits language or incentive guidance (e.g., Teller roles should continue to remove incentive language as noted). ‌‌
  • We offer competitive pay, comprehensive medical, dental and vision coverage, retirement benefits, maternity/paternity leave, flexible work arrangements, education reimbursement, wellness programs and more.

Benefits

  • Develop, validate, and deploy predictive models using a range of statistical and machine learning techniques, with a focus on accuracy, interpretability, and business applicability.
  • 4 - 6 years of experience in data modeling, statistical analysis, and machine learning to solve business problems

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