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Mid-level popular ML/Data Scientist role with broad skillset increases candidate competition.
Strong ML/modeling focus with financial services governance increases domain specificity; moderately transferable skills.
Explicit 4+ years plus mandatory ML, Databricks, production and cloud skills create strict filters.
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Develop and deploy advanced predictive models and machine learning solutions to generate actionable business insights and drive strategy within Bread Financial.
Conduct comprehensive data analysis including preprocessing, feature engineering, model validation, and impact sizing to ensure model effectiveness and business value.
Collaborate with internal stakeholders and data science teams to share innovations, support implementation, and ensure compliance with model risk governance and regulatory requirements.
Bachelor’s degree in statistics, mathematics, engineering, data science, economics, computer science, or related quantitative field.
Minimum 4 years of professional experience in software or data science roles.
Proficiency in Python, SQL, Spark, Databricks/Spark-like environments, and machine learning algorithms (including bagging, boosting, neural nets).
Experience with cloud computing platforms (AWS and/or Azure) and model risk management processes.
Experienced in applying advanced machine learning and statistical modeling techniques to solve real-world business problems, especially in financial services contexts.
Able to translate complex analytical insights into clear business recommendations and communicate effectively across diverse audiences.
Familiar with modern ML production environments, including model monitoring, drift detection, retraining workflows, and emerging GenAI/LLM technologies.