Position Details

Salary $229K – $262K USD / year

Type Full-Time

Experience senior

Exp. Years Not specified

Education Not specified

Category Data & Analytics

About this role

Lead data science efforts to build machine learning models that drive credit decisioning and personalization for acquisitions and retention. Partner with cross-functional teams to take models from design through implementation while translating technical work into business goals.

Key Responsibilities

Lead a team of 4-5 associates to build next-generation ML models; Partner cross-functionally with data scientists, software engineers, and product managers; Use Python, Conda, AWS, H2O, and Spark to extract insights; Build and validate models across all development phases; Translate model complexity into tangible business goals

Technical Overview

Work with machine learning across design, training, evaluation, validation, and implementation using Python, Conda, AWS, H2O, and Spark. Apply statistical and model evaluation techniques including confusion matrix and ROC curve analysis, plus methods like clustering, classification, sentiment analysis, time series, and deep learning.

Ideal Candidate

The ideal candidate is a senior data science leader who can manage and develop a team of 4-5 associates and deliver machine learning models for credit decisioning. They are hands-on with Python and open-source tooling, with production-oriented modeling experience across training, evaluation, validation, and implementation on AWS.

Must-Have Skills

Leader to manage and develop a team of 4-5 associatesHands-on experience developing data science solutions using open-source tools and cloud computing platformsExperience building machine learning models through designtrainingevaluationvalidationand implementationComfort with open-source languages

Tools & Platforms

PythonCondaAmazon Web ServicesAWSH2OSpark

Required Skills

Machine learning modelsPythonCondaAWSH2OSparkcredit decisioningmodel trainingevaluationvalidationimplementationbacktestingconfusion matrixROC curveclusteringclassificationsentiment analysistime seriesdeep learningopen-source tools

Hard Skills

Machine learning modelsCredit decisioningPredictive modelingBacktesting modelsEvaluation of modelsConfusion matrix interpretationROC curve interpretationClusteringClassificationSentiment analysisTime seriesDeep learningPythonCondaAmazon Web ServicesAWSH2OSparkOpen-source toolsData science solution developmentModel trainingModel validationModel implementationNumeric and textual data analysisLeading a team of associates

Soft Skills

LeadershipTalent developmentStakeholder managementChallenging conventional thinkingTranslating complexity into business goalsCross-functional collaboration with data scientistssoftware engineersand product managersInterpersonal skills

Industry & Role

Industry Banking

Job Function Lead and deliver machine learning modeling for credit decisioning and personalization

Role Subtype Data Scientist

Tech Domains Python, Amazon Web Services, Google Cloud Platform, Azure, AI & Machine Learning, Data & Analytics

Keywords for Your Resume

Senior Manager Data ScientistSenior ManagerData ScienceData Scientistmachine learningPythonCondaAmazon Web ServicesAWSH2OSparkcredit decisioningmodel trainingmodel evaluationmodel validationbacktestingconfusion matrixROC curveclusteringclassificationsentiment analysistime seriesdeep learningopen-source toolsteam leadershipMainstreet Acquisitionsmachine learning models

Deal Breakers

Ability to lead a team of 4-5 associates, Hands-on experience developing data science solutions using open-source tools and cloud computing platforms, Experience building ML models across design, training, evaluation, validation, and implementation

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