Bread Financial Freshers Recruitment 2023 for Analyst-Data Science | B.E/B.Tech/B.Sc can apply

 Bread Financial Freshers Recruitment 2023 forAnalyst-Data Science | B.E/B.Tech/B.Sc can apply

Job Summary

Data Science team delivers the best in class actionable business insights through cutting-edge predictive models and data science techniques. The Data Scientist is responsible for generating data-driven insights using advanced analytics and machine learning techniques to support enterprise data science needs within Bread Financial.

Job Description
 

Essential Job Functions

Analytics – under supervision and guidance, completes the following:  1) extracts and samples data, conducts data integrity checks and applicable data pre-processing such as treatment of missing values and outliers, 2) conducts exploratory data analysis for preliminary data insights to drive the selection of modeling approach that best addresses the business problem, 3) reveals hidden data patterns by data mining using unsupervised learning techniques such as clustering analysis and factor analysis, 4) conducts feature engineering to create/derive model predictors with strong predictive power, 5) trains/tunes classification/regression models by applying supervised learning techniques such as generalized linear models assuming applicable underlying distributions such as logit and gamma, tree-based models such as decision trees, random forest, boosted trees, etc., and neural net models, and 6) conducts proper model test/validation, diagnoses and fixes model issues (e.g., over-fitting) when applicable.  Sizes the impact of using the models in production as part of the current strategy.  Presents results and business case to manager. Provides support for implementation and monitoring of solutions that are implemented. 

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Collaboration – under supervision and guidance, translates analytical results into useful recommendations for review with manager.  Demonstrates strong verbal and written communication skills when working with internal partners and when presenting results to various audiences. Develops foundational knowledge of credit card operations, banking, financial, loyalty rewards, retail, and credit card regulations while working with the business.  Collaborates with other data scientists in the company to share best practices and data science innovations. 

 

Data Science innovation – with direction from leader, researches industry trends in data science of new tools, emerging algorithms, advanced platforms, and alternative data to enhance modeling effectiveness and efficiency.  Conducts use case testing for new tools/techniques/platforms/data and provides user input/feedback. 

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