Senior Data Scientist

Jobtailor; Belo Horizonte; Presencial; BRL 180 000 - 240 000; Tempo integral

Resumo da oferta

Extractta is seeking a Data Scientist to join a strategic client in the financial sector, shaping data strategy and solving large-scale problems across an ecosystem of financial and digital products. You will translate complex business needs into predictive models and intelligent solutions, playing a leading role in advancing the product ecosystem in a data-driven environment.

The role focuses on building scalable models, communicating insights through clear visuals, and delivering data-driven

Qualificações

• ML models in production environments.
• Proficiency in Python and libraries such as pandas, numpy and matplotlib; SQL for manipulating large volumes of data.
• Strong foundation in descriptive and inferential statistics; experimentation methodologies (A/B testing).
• Ability to explore and extract insights from complex datasets from multiple sources.
• Excellent data storytelling and ability to translate findings into actionable recommendations.

Conhecimentos

Machine Learning

Python

pandas

numpy

matplotlib

SQL

Statistics

Data Mining

Data Storytelling

MLOps

Ferramentas

Spark

Descrição da oferta de emprego

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

• 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).

ATS Optimization Keywords

Hard Skills

• Machine Learning
• Python
• pandas
• numpy
• matplotlib
• SQL
• Statistics
• Data Mining
• Data Storytelling
• MLOps

Soft Skills

• communication
• presentation
• problem-solving
• translating complex findings
• insight extraction