Data Scientist II performing analytics and modeling to improve fraud strategies at Truist. Engaging with stakeholders and developing data - driven solutions for risk management and business outcomes.
About the role
- Senior Data Scientist developing and maintaining predictive models to support business decisions. Collaborating with engineering teams to deploy models and ensure data quality in Mexico.
Responsibilities
- Develop and maintain predictive models to support business decision-making
- Design and implement feature engineering pipelines using diverse data sources
- Perform exploratory data analysis to uncover patterns, trends, and key drivers
- Build segmentation and cohort analyses to better understand customer behavior
- Evaluate model performance using appropriate metrics and continuously refine approaches
- Translate analytical results into clear, actionable insights for business stakeholders
- Create data visualizations and dashboards to communicate findings effectively
- Collaborate with engineering teams to deploy and scale models in production environments
- Ensure data quality, consistency, and reproducibility across workflows
Requirements
- 5+ years of experience in Data Science, Machine Learning, or Advanced Analytics
- Strong proficiency in Python (pandas, numpy, scikit-learn)
- Experience with feature engineering, model development, and evaluation
- Familiarity with large-scale data processing (e.g., Spark, Databricks)
- Experience with SQL and data warehousing platforms
- Strong understanding of statistical modeling and machine learning techniques
- Experience building data visualizations (e.g., Power BI, matplotlib, seaborn)
- Familiarity with cloud environments (Azure)
- Exposure to end-to-end ML pipelines and MLOps practices
- Experience working with business stakeholders in data-driven environments
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
Tech skills
Location requirements
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