Job Description & Details
This is a solid hybrid data science gig at a financial services firm in Virginia where you'll actually get to dig into customer behavior and Voice of the Customer data. If you enjoy untangling messy digital analytics and turning feedback into real product decisions without getting bogged down in endless bureaucracy, this role is worth your time.
What You'll Actually Be Doing
Expect your day-to-day to revolve around making sense of digital customer journeys and feedback loops. You'll be writing queries to pull engagement metrics, running exploratory analysis on user drop-offs, and building NLP models to process text feedback and sentiment. You aren't just building offline models here; you're partnering directly with product and tech teams to translate vague business questions into concrete analytical solutions and automated insights.
The Core Tech Stack
Python and SQL are non-negotiable here. You'll live inside notebook-based environments extracting, prepping, and modeling data daily. On top of standard data prep and regression, you need hands-on experience with NLP and text analytics to tackle customer sentiment and friction points. If you know your way around clustering, hypothesis testing, and turning raw data into clean business storytelling, you'll fit right in.
Interview Expectations
Be ready for the hiring manager to grill you on a time you had to extract messy data with SQL, clean it in Python, and explain a complex statistical model to a non-technical stakeholder. They want to see if you can handle ambiguity and actually tie your insights back to business revenue or user retention. They'll also likely throw a practical NLP or text analytics scenario at you to test how you'd extract sentiment from unstructured customer feedback.
Application Advice
Skip the generic template and make sure your resume immediately highlights your Python, SQL, and NLP project experience front and center. Explicitly mention any work you've done with digital customer behavior, sentiment analysis, or Voice of the Customer metrics since those exact keywords will flag your resume right past the ATS. Emphasize your communication skills—this team values data storytelling just as much as raw modeling ability.