Especialista em Ciência de Dados in Brazil, Indiana at Jobgether

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Especialista em Ciência de Dados based in Brazil.

This role offers the opportunity to work on advanced analytics initiatives focused on transforming complex data into valuable business solutions.
You will join a data-driven environment where innovation, statistical modeling, and technology come together to create impactful products.
The position involves exploring new data sources, developing predictive features, and improving analytical models across different market segments.
You will collaborate with multidisciplinary teams to design solutions that support smarter decisions through data intelligence.
This is an opportunity for professionals passionate about analytics, machine learning, and solving complex business challenges.
The role requires curiosity, technical expertise, and the ability to continuously explore new approaches in a fast-evolving data landscape.

As a Data Science Specialist, you will be responsible for developing analytical solutions, structuring data, and creating innovative features that enhance decision-making processes. You will work with large datasets, statistical techniques, and machine learning approaches to identify opportunities and deliver impactful insights.

• Research and evaluate new data sources to improve analytical capabilities and generate new business opportunities.
• Structure, organize, and prepare databases for modeling and advanced analytics initiatives.
• Develop new variables through feature learning techniques to improve predictive models and scoring solutions.
• Analyze the performance and relevance of features used in statistical models.
• Create innovative analytical solutions using statistical methods and data science techniques across multiple industries.
• Apply knowledge of credit, collections, insurance, and financial services to support the creation of relevant analytical products.
• Develop and optimize data processing workflows using big data technologies.
• Collaborate with teams to identify challenges, propose improvements, and deliver scalable data-driven solutions.

The ideal candidate is a highly analytical professional with strong experience in data manipulation, statistical modeling, and programming. You should have a passion for learning, problem-solving, and applying technology to transform data into actionable insights.

• Bachelor’s degree completed in Exact Sciences, Computer Science, Engineering, Mathematics, Statistics, or related fields.
• Strong programming skills in Python for data analysis and modeling.
• Experience with statistical modeling, data manipulation, and feature engineering.
• Knowledge of Big Data concepts and technologies, including PySpark.
• Experience developing analytical solutions and working with large-scale datasets.
• Familiarity with machine learning concepts and model evaluation techniques.
• Knowledge of the corporate credit ecosystem (PJ), including products such as working capital loans, receivables anticipation, invoice discounting, and business financing.
• Understanding of company financial indicators, corporate structures, and tax frameworks is considered a strong advantage.
• Strong analytical thinking, adaptability, initiative, curiosity, and ability to work independently.
• Ability to collaborate with different teams and communicate technical concepts clearly.

• Inclusive and collaborative work environment focused on innovation and professional growth.
• Opportunities to work with advanced data technologies and impactful analytics projects.
• Career development opportunities and continuous learning initiatives.
• Flexible environment designed to support work-life balance.
• Access to programs and resources focused on employee well-being.
• Opportunity to contribute to solutions that create value for businesses and individuals.