Data Scientist Intern

GoTo Financial; Asia; Presencial; PEN 30.000 - 45.000; Jornada completa

Descripción de la vacante

GoPay Data Science internship is open to recent graduates to build models that grow GoPay’s customer base and transactions. You will work closely with business, product and engineering teams in a fast-paced, cross-functional environment with our robust data infrastructure.

You will prototype data science solutions, analyze big data, and own end-to-end deployment in collaboration with engineers. Strong foundation in statistics and ML, plus Python/R, is essential.

Formación

• Fresh Graduates from computer science, mathematics, or statistics (final semester students preferred).
• Strong quantitative and problem-solving skills.
• Solid understanding of Statistics/ML fundamentals and Python, R experience.
• Communication skills to engage with business stakeholders and explain results.
• Ability to write clear technical documentation.
• Experience in recommender systems or related ranking methods is a plus.

Responsabilidades

• Collaborate with cross-functional teams to build data science solutions.
• Rapidly prototype models and contribute to product discussions.
• Analyze large datasets and generate actionable insights.
• Own end-to-end solutioning from problem framing to deployment with engineers.
• Participate in internal and external conferences and workshops.

Conocimientos

Python

R

Statistics

ML fundamentals

Communication

Recommender systems

Educación

BSc in Computer Science / Mathematics / Statistics

Descripción del empleo

We are looking for a data scientist intern to join our Data Science team at GoPay - you will create models which help grow the customer base and transactions in GoPay. You will work closely with the business, product and engineering stakeholders to identify and solve some of the most challenging business problems in the payments space. You will have the opportunity to work in a fast-paced environment in a highly cross-functional team and leverage our robust data infrastructure

About the Team

GoPay Data Science team builds critical ML components/models which go into the engineering systems which make GoPay a safe, trusted and fun way to do payments. Our team members come from varied backgrounds, and bring with them a wide set of skills (mathematics, statistics, machine learning, deep learning etc.) which we use some of the toughest business problems in GoPay. We are enthusiastic about both data science techniques and methods, as well as the business impact of our models, and have numerous internal forums where sharing, discussions and presentations by the team members happen.

What You Will Do

• Work as part of a cross-functional team of engineers, product managers and business analysts to build data science solutions that build customer engagement and help grow GoPay’s customer base and transactions
• Rapidly prototype data science solutions and be involved in product and feature discussions
• Analyze large volume data and generate insights which will be actionable
• Own end-to-end solutioning, from formulating the technical problem to deployment (along with engineers) of the solution
• Participate in internal and external conferences and workshops

What You Will Need

• Fresh Graduates from computer science, mathematics, or statistics(Students on final semester are also preferred)
• Strong quantitative and problem-solving skills
• Solid understanding of Statistics/ML fundamentals and demonstrated experience in Python, R
• Communication skills to engage with business stakeholders to understand their needs and effectively communicate the results of the analytical solutions
• Ability to write clear and concise technical documentation
• Experience in recommender system, ranking, multi-armed bandits, search and discovery is a plus