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.
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