Data Scientist developing analytical solutions for customer data transformation and supporting critical business decisions. Focus on quality and integrity of data through statistical models and analysis.
About the role
- Data Scientist responsible for advanced data analysis in finance. Collaborating with teams on data modeling, machine learning, and delivering strategic insights.
Responsibilities
- Collect, organize, and analyze large volumes of structured and unstructured data.
- Apply statistical analysis, data mining, and machine learning techniques.
- Develop predictive and prescriptive models aimed at operational efficiency and quality improvement.
- Create software and process quality metrics and indicators based on evidence and data.
- Create reports, dashboards, and interactive visualizations to clearly communicate results.
- Ensure the integrity, consistency, and governance of the data used.
- Translate technical analyses into strategic insights that are understandable for the business area.
- Collaborate with data engineering, BI, and systems development teams.
Requirements
- Strong knowledge of statistics, data modeling, and machine learning.
- Solid experience with Python, R, or SQL for data manipulation and analysis.
- Knowledge of dimensional modeling (star, snowflake) and relational and non-relational databases.
- Experience with ETL, data pipelines, and integrating multiple sources.
- Experience with visualization tools (Power BI, Tableau, Grafana, etc.).
- Familiarity with cloud platforms (Azure, AWS, GCP) and best practices for code versioning (Git).
Benefits
- Competitive compensation based on experience;
- Opportunities for growth within the company and participation in strategic projects;
- Dynamic and challenging work environment;
- Opportunity to work at a rapidly expanding company in the market.
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
No Education Requirement
Tech skills
Location requirements
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