Product Data Scientist — Growth & Experiments

Solvd, Inc.; Occidente; Presencial; COP 60.000.000 - 120.000.000; Jornada completa

Descripción de la vacante

Solvd Inc. is seeking a Product Data Scientist to partner with Credit Cards and Banking teams, shaping strategy and growth through analysis, experimentation, and applied machine learning. You will work with Product Managers, Engineers, and stakeholders to identify opportunities and measure impact of features.

This hands-on role requires exploring complex data, designing experiments, and translating insights into decisions that drive consumer-facing financial product solutions.

Formación

• 3+ years of professional experience in data science, product analytics, or a related analytical discipline.
• Strong proficiency in SQL and Python for data exploration, statistical analysis, automation, and predictive modeling.
• Hands-on experience with Databricks for analytical workflows and model development.
• Proven experience designing and interpreting A/B tests and understanding product analytics.

Responsabilidades

• Partner with Product Managers and leadership to identify, size, and prioritize growth opportunities.
• Establish metric frameworks, north-star metrics, funnel definitions, and performance drivers.
• Lead deep-dive analyses to understand user behavior, friction points, and trends.
• Own the full experimentation lifecycle and translate findings into product features.

Conocimientos

SQL

Python

A/B testing

Product analytics

Analytics storytelling

Communication

Collaboration

Educación

Bachelor’s or advanced degree in Statistics, Mathematics, Economics, Computer Science, Engineering, or related quantitative discipline

Herramientas

Databricks

BI tools

Descripción del empleo

Solvd Inc. is seeking a Product Data Scientist to partner with Credit Cards and Banking teams, shaping strategy and growth through analysis, experimentation, and applied machine learning. You will work with Product Managers, Engineers, and stakeholders to identify opportunities and measure impact of features.

This hands-on role requires exploring complex data, designing experiments, and translating insights into decisions that drive consumer-facing financial product solutions.