Senior Data Scientist

Extractta

Join a leading financial firm to develop predictive models and scalable data solutions. Work hybrid in Belo Horizonte, contributing to strategic products that impact millions of customers.

Posted 6/24/2026full-timeBelo Horizonte • 🇧🇷 BrazilSeniorWebsite

Tech Stack

Tools & technologies

NumpyPandasPythonSparkSQL

About the role

Key responsibilities & impact

Extractta is seeking a Data Scientist to join the team of one of our strategic clients in the financial sector — a large, digitally innovative company. This is an opportunity to work at the heart of the data strategy, solving real, large-scale problems across an ecosystem of financial and digital products that directly impact the lives of millions of customers.
In this position, your mission goes far beyond numbers: you will be challenged to translate complex business needs into predictive models and intelligent solutions. In a strategic role, you will play a leading part in advancing the product ecosystem within an environment where a data-driven culture is the engine that fuels innovation across all areas.

Requirements

What you’ll need

Machine Learning: Experience with machine learning models in production environments, with an understanding of the challenges involved in building scalable solutions for real-world systems.
Programming: Proficiency in Python and libraries such as pandas, numpy and matplotlib; experience with SQL for manipulating large volumes of data.
Statistics: Solid foundation in descriptive and inferential statistics, hypothesis testing, analysis of variance and probability concepts, as well as experimentation methodologies (A/B testing).
Data Mining: Ability to explore and extract insights from complex datasets, identify patterns and anomalies, and work with structured and semi-structured data from multiple sources.
Data Storytelling: Skill in communicating technical results and insights through clear presentations and effective visualizations for diverse audiences, translating complex findings into actionable recommendations.
Desired:
Knowledge of Spark for distributed processing.
Experience with deep learning frameworks and deploying models to production (MLOps).

Benefits

Comp & perks

Meal allowance and/or meal voucher.
Sesi and Sesc partnership, offering access to health, wellness and leisure services.
Partnerships with educational institutions, providing exclusive discounts on courses and educational programs.
Opportunities for career growth within the company and participation in strategic projects.
Opportunity to work at a rapidly expanding company in the market.

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools

Machine LearningPythonpandasnumpymatplotlibSQLStatisticsData MiningData StorytellingMLOps

Soft Skills

communicationpresentationproblem-solvingtranslating complex findingsinsight extraction