We are looking for a Product Data Scientist with strong banking/financial services experience to partner with Product teams and drive data-informed decisions across consumer lending products. The adecuado candidate combines product analytics, experimentation, statistical modeling, and strong communication skills. Must-Have Skills:
5+ years of experience in Data Science, Product Analytics, Applied Statistics, or similar roles
Must have banking, fintech, consumer lending, or financial services experience
Strong experience with product analytics and experimentation (A/B testing)
Strong knowledge of statistics, hypothesis testing, and causal inference
Advanced SQL skills
Strong Python or R skills
Experience developing and validating statistical/ML models
Experience with funnel, cohort, conversion, segmentation, and product metrics
Hands-on experience with data pipelines, transformations,



and data modeling
Experience working directly with Product Managers and Engineering teams
Strong understanding of consumer lending / credit products, underwriting, risk, or pricing
Excellent communication skills with both technical and business stakeholders
Experience using AI/LLM tools such as ChatGPT, Claude, or similar for analytics and productivity
Bachelor's degree or higher in a quantitative field, or equivalent experience
Nice to Have:
Experience with credit/risk modeling or pricing strategy
dbt, Airflow
Segment, Amplitude, mParticle, or similar product analytics tools
Experience with AWS
Agile/Scrum product team experience
Home improvement or contractor financing experience

📌 Product Data Scientist (Nezahualcóyotl)
🏢 VBeyond
📍 Nezahualcóyotl