Lead Data Scientist - AI/ML Engineer - Loss Forecasting Automation

August 23

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Best Egg

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Best Egg is the online credit and financial wellness platform that is owned and operated by Marlette Holdings, Inc.

Personal Lending • Debt Consolidation

501 - 1000

Description

• Partner with various business units to develop AI/ML solutions aimed at optimizing and automating business tasks relating to, but not limited to, underwriting, pricing, customer service, fraud, verification, loss forecasting, and/or operational strategies. • Develop and maintain loss forecasting models and enhance & automate current processes and pipelines. • Spearhead the development of AI tools for Best Egg • Build end-to-end AI/ML pipelines including data ingestion, extraction, feature engineering, model training and inference, performance evaluation and implementation. Remain engaged in R&D efforts to stay current with AI/ML advancements. • Take ownership of a rich library of AI/ML tools and enjoy authority to continue to research efficient and effective strategies. • Use Best Egg’s deep data sets (application, bureau, web, and alternative data) to derive actionable insights. • Assess the capabilities and values of 3rd party vendors. • Contribute to a culture focused on continuous learning and celebrate frequent wins, while providing valuable insights to inform decisions across the entire Best Egg organization.

Requirements

• Bachelor’s degree in Statistics, Mathematics, Operational Research, Computer Science/Engineering, Data Science or other quantitative major. Masters or PhD is preferred. Other quantitative fields with experience in building Cloud Services/Architect solutions, and data/CI/CD pipelines for AI/ML solutions will be considered. • 4+ years of work experience in AI/ML engineering. • Experience with building and deploying AI/ML stacks in cloud production environments/containers in ECS/EKS – including data pipeline, CDK/SDK, Cloudformation/Terraform, and familiar with AWS services and various ML/Deep Learning tools. • Intermediate to advanced experience in AI/ML modeling in Python/R. • Strong SQL background • Experience with dev tools – Git, JIRA, etc. • Ability to work effectively independently and as a team member. • Excellent English written and verbal communication skills; ability to translate technical concepts to a non-technical audience. • Nice to have, but not required: experience in the financial industry and loss forecasting related tool development.