Job Title: Product Data Scientist
Key Skills: Python or R, SQL, Data
Experience: 6+ years
Location: Mexico
Mode: Remote
We at Coforge are hiring Position (17739-PE-MX-TM2-6) with the following skill
set.
This role sits at the intersection of product analytics, experimentation, and
data science — embedded directly with Product Management to help shape and grow
our Home Improvement lending product. You’ll be the analytical backbone for a
product team making high-stakes decisions about underwriting funnels, borrower
experience, and growth, translating messy data into clear evidence and, where it
counts, into models and instrumentation that ship. It’s a high-impact role for
someone who is equally comfortable running a rigorous A/B test, writing a dbt
model, and explaining a lift curve to a VP.
RESPONSIBILITIES
* Partner day-to-day with Home Improvement Product Managers as their embedded
data science and analytics resource — turning open-ended product questions
into structured analyses and clear recommendations
* Design, run,
and interpret experiments (A/B and quasi-experimental) across
the borrower funnel — from offer presentment through origination — with rigor
around power, sample ratio mismatch, novelty effects, and interaction risk
across concurrent tests
* Define and own the metrics framework for the Home Improvement product line:
north-star and guardrail metrics, funnel and cohort definitions, and the
instrumentation needed to measure them reliably
* Work with engineering to ensure event tracking and logging are complete,
accurate, and well-documented at the point of instrumentation, not discovered
as gaps after the fact
* Build and maintain data pipelines and models (e.g., SQL/dbt transformations,
feature pipelines) well enough to be self-sufficient for most analyses and to
collaborate credibly with data engineering on the rest
* Develop and validate statistical and ML models supporting product decisions —
response/propensity models, funnel drop-off and c
📌 Product Data Scientist (México)
🏢 Encora
📍 México