Sr. Data Scientist at Promantis Inc
About the role
Role: Sr. Data Scientist with Retail Banking Hybrid Charlotte, NC Key Responsibilities End-to-End Model Development & Innovation Lead the design, development, and validation of predictive models across the banking lifecycle, which may include: Risk/Decision Models: Credit scoring, underwriting frameworks, behavior modeling, collection/loss mitigation, and fraud detection. Marketing/Growth Models: Propensity/response modeling, customer segmentation, attrition/churn forecasting, Next-Best-Action,…
Interview process at Promantis Inc
General interview process (this company's specific loop isn't published - reach out if you have insider info).
- Recruiter phone screen - typically 20-40 min
- Technical screen - 1 coding problem or take-home; format varies by company
- Onsite / virtual loop - typically 4-6 rounds over 2-3 weeks; exact split of coding, systems design, and behavioral varies by role and location
Platforms used: unknown — MiPrep tested compatible with major platforms
How to prepare
MiPrep helps you rehearse the specific cadence and question types Promantis Inc interviewers score on. Upload your resume and this job description; MiPrep generates a rehearsed answer set in your voice from your own projects.