About Careertakes

👉 Important disclosure: Careertakes is a third-party recruiting platform supporting this hiring process. If selected, you will be employed directly by our client, Financial Services.

Applicants for this role may also receive access to additional matched opportunities through the Careertakes platform.

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What You’ll Do

Confidential Client’s Small Business Bank (SBB) Data Science team is hiring a Manager, Data Scientist to lead modeling and analytics that power marketing and deposit strategy for small business customers. You will manage projects and people while contributing hands‑on to model design, development, validation, and deployment.

• Partner with product, engineering, and analytics teams to deliver customer-facing solutions
• Build and productionize machine learning models (design → training → validation → deployment)
• Work with large-scale numeric and textual datasets using Python, Spark, Dask, and related tools
• Leverage cloud platforms and tooling (AWS, Conda, H2O, etc.) to scale experiments and pipelines
• Translate technical findings into actionable business recommendations for SBB marketing and deposit strategy
• Develop account-level lifetime value (NPV) models and other strategic frameworks to inform decision-making

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Team & Impact

You’ll join a team focused on enabling small businesses (which comprise the majority of U.S. firms) through data-driven product and policy decisions. Your work will directly influence product design, marketing effectiveness, and revenue/cost forecasting across the SBB business.

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You Should Have (Basic Qualifications)

Candidates must meet one of the degree + experience combinations below and have hands-on analytics experience:

• One of the following degree/experience combinations:
  • Bachelor’s in a quantitative field + 6 years data analytics experience
  • Master’s (or MBA with quantitative focus) + 4 years data analytics experience
  • PhD in a quantitative field + 1 year data analytics experience
• At least 1 year of experience using open-source programming languages for large-scale analysis (Python, R, etc.)
• At least 1 year working with machine learning methods
• At least 1 year using relational databases and SQL

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Preferred Qualifications

• PhD in a STEM field + 3 years data analytics experience
• 4+ years experience with Python, Dask, Spark and large-scale data analysis
• 4+ years experience building statistical or machine learning models
• 4+ years experience with SQL
• Experience working with AWS and cloud-based ML tooling

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Compensation & Benefits

• Location-specific base salary (for McLean, VA): $197,300 - $225,100 (annual) for the Manager, Data Science role. This position is also eligible for performance-based incentives (cash bonus and/or long-term incentives) where applicable.
• Confidential Client offers a comprehensive benefits package, including health, financial, and wellbeing programs. Actual benefits eligibility varies by role and employment status.

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Location, Sponsorship & Work Authorization

• Location: McLean, VA (on-site or hybrid as defined by the confidential client)
• Confidential Client will consider sponsoring a qualified applicant for employment authorization.

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Legal & Compliance Notes

• This posting follows applicable U.S. employment laws. Candidates with criminal histories will be considered in a manner consistent with applicable laws and local ordinances.
• Reasonable accommodations are available for applicants with disabilities; please contact the recruiting team via the Careertakes platform for support.

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Equal Opportunity & Hiring Transparency

Careertakes and our client are Equal Opportunity Employers committed to building a diverse and inclusive workforce. We prohibit discrimination or harassment of any kind. To support a fair and efficient hiring process, AI tools may be used to assist with application review or resume screening. These tools do not replace human decision-making. Final hiring decisions are made by people.

If you have questions about how your data is used, please contact us directly.