Full-Time Senior Data Scientist - Affirmative Action for Women

• Will be responsible for researching, applying, and modifying solutions to meet business needs, delivering results.
• Use statistics and Python programming as tools for developing anti-fraud analytical solutions.
• Perform analyses in portfolios, identifying opportunities for action and improvements.
• Prepare presentations of results and discuss them with internal or external clients.
• Work very well in a team.

• Use of Statistics and Predictive Modeling
• Evaluation of results and simulation of scenarios in portfolios, making recommendations
• Use of Analytics for quick problem solving
• Preparation of presentations
• Experience with Machine Learning / Python
• Manipulation, processing, analysis, and interpretation of data.
• Use of data between different environments
• Knowledge of Database Structures

• Analytical thinking, knowledge of Machine Learning techniques and existing statistical tools (sampling, logistic regression).
• Planning and prioritization of own tasks
• Simplify and share techniques and results with the team and clients.
• Ease of learning and researching various subjects
• Make decisions with critical analysis
• Build positive connections, create alliances, and work collaboratively with other areas and peers on the team
• Good humor and emotional balance
• Question and listen
• Work in a team (Very important)
• Integrity
• Creativity applied to delivery
• Bring and apply new technologies
• Manage multiple priorities
• Simplify complex concepts
• Estatística, Python, Machine Learning, Análise de dados, visão analítica.

What is the last date for applying to the job?

Which countries are accepted for this remote job?