Manager, Data Scientist - US Card (Upmarket Acquisitions)
The Manager, Data Scientist role at Confidential Client leads the development and deployment of advanced machine learning models to optimize credit card customer acquisition and management. This position involves collaborating with cross-functional teams to deliver data-driven solutions, leveraging a broad technology stack, and driving innovation in model development and governance to enhance business outcomes.
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.
What You’ll Do
You will lead model development and delivery across the full lifecycle and partner closely across product, engineering, and analytics teams to drive acquisition decisions.
- Partner with cross-functional teams of data scientists, software engineers, and product managers to deliver production-ready products.
- Use a broad technology stack (Python, Conda, AWS, H2O, Spark, etc.) to analyze large numeric and textual datasets.
- Design, train, evaluate, validate, and deploy machine learning models for acquisition and underwriting use cases.
- Own model monitoring, governance, and ongoing improvement after deployment.
- Translate technical findings into clear business recommendations that influence decision-making.
Who You Are / Ideal Candidate
- Creative problem-solver who frames ambiguous problems, asks the right questions, and drives to practical solutions.
- A leader who challenges conventional thinking, mentors others, and helps develop talent across teams.
- Comfortable with open-source tools and cloud platforms; hands-on contributor who can both design and implement models.
- Statistically-minded: experienced with model validation, backtesting, and interpreting evaluation metrics (e.g., confusion matrices, ROC curves).
- Skilled with large-scale data retrieval, combination, and analysis; you understand that deep data knowledge is key to strong modeling.
Minimum Qualifications
Applicants must meet one of the following education + experience combinations (degree is expected to be obtained on or before the scheduled start date):
- Bachelor’s degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or related) plus 6 years of experience performing data analytics.
- Master’s degree in a quantitative field (or an MBA with a quantitative concentration) plus 4 years of experience performing data analytics.
- PhD in a quantitative field plus 1 year of experience performing data analytics.
Plus:
- At least 1 year experience using open-source programming languages for large-scale data analysis.
- At least 1 year experience with machine learning.
- At least 1 year experience utilizing relational databases (SQL).
Preferred Qualifications
- PhD in a STEM discipline plus ~3 years’ experience in data analytics.
- Experience working with AWS.
- 4+ years experience in Python, Scala, or R for large-scale data analysis.
- 4+ years experience developing machine learning solutions.
- 4+ years experience with SQL.
Compensation & Benefits
- Cambridge, MA: $197,300 - $225,100 (annual base pay for this management-level, full-time role).
- This role may be eligible for performance-based incentives (cash bonuses and/or long-term incentives) and a comprehensive benefits package that supports total well-being.
- Confidential Client may consider sponsoring qualified applicants for employment authorization.
Additional Details & Compliance
- Employment Type: Full-time.
- This role is based in Cambridge, MA (on-site expectations or hybrid as defined by the Confidential Client).
- Confidential Client is committed to non-discrimination and will consider applicants with criminal histories in a manner consistent with applicable federal, state, and local laws. Reasonable accommodations are available—contact recruiting for assistance.
- No agencies, please.
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.
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