Decision Scientist
New
F
FBSInsurance
Workable workplace: remote; Workable locations: Brazil. MexicoFull-Time
Salary not disclosed
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Job Details
- Languages
- Fluent English
- Required Skills
- PythonSQLMachine LearningMicrosoft Power BIR
Requirements
- Bring professional experience in Data Science, Statistics, Advanced Analytics, Decision Science, Business Analytics, or a related field.
- Hold a bachelor's degree in Data Science, Statistics, Mathematics, Business Analytics, Computer Science, or a related field.
- Have a strong foundation in statistics, mathematics, and quantitative analysis.
- Have experience with exploratory data analysis and statistical modeling.
- Know statistical methodologies including hypothesis testing, correlation analysis, regression, multivariate analysis, and time series.
- Be familiar with machine learning concepts and predictive modeling.
- Have programming experience using Python or R.
- Have experience querying, manipulating, and analyzing large datasets using SQL.
- Be familiar with data visualization tools such as Power BI, Tableau, or similar platforms.
- Understand data preparation, integration, transformation, and quality validation.
- Be able to interpret analytical results and translate them into actionable business recommendations.
- Be fluent in English and able to communicate analytical findings and collaborate with international stakeholders.
Responsibilities
- Apply statistical, mathematical, and quantitative techniques to solve business problems and support strategic decision-making.
- Conduct exploratory data analysis to identify patterns, trends, correlations, outliers, and business opportunities.
- Develop descriptive and explanatory models to investigate business challenges and support data-driven recommendations.
- Collect, integrate, clean, and transform data from multiple sources to create reliable datasets for analysis.
- Test hypotheses, validate findings, and evaluate potential business opportunities through analytical studies and experiments.
- Interpret complex datasets and communicate findings and recommendations to business stakeholders and leadership.
- Use data visualization tools to communicate trends, findings, and recommendations.
- Support deployment, monitoring, and evaluation of predictive models developed by the team.
- Perform data quality checks and partner with technical teams to improve data integrity and analytical processes.
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