Best Egg

Senior Director of Data Science

Job Description

Data is at the heart of everything we do. Join a Data Science team working at the cutting edge within our industry and constantly advancing our AI/ML practice. Our Data Science team is dedicated to creating advanced analytics and AI/ML solutions that power innovation and creative insights that pioneer new products and help our business reach the next level. We work on diverse projects across all business units within the company and have a direct engagement model among data scientists, business stakeholders, product organization and cross functional teams; with projects spanning from credit risk, direct marketing targeting, personalization, fraud and service operations, and many more! 

Enjoy the stability of a profitable, award winning fintech and challenge yourself with plenty of growth and upward mobility within a data rich environment. Be a part of a growing team using the latest tools and technologies to disrupt the industry and empower our customers to reach their financial goals.

We are seeking a Data Science leader to lead our Data Science team. Ideal candidate is a hands-on thought leader who can identify business problems (preferably in consumer lending), translate insights into actionable recommendations, develop AI/ML stack solutions, drive test/learn plans, present recommendations, and independently deploy these solutions into production – with the capability to lead, coach, mentor or upskill team members to do the same. 

The candidate should have a high sense of urgency, a creative mind, great communication skills, and a strong background in programming and AI/ML.

This role will report directly to the Chief Data and Analytics Officer.



Role Responsibilities
  • Lead a data science team supporting our credit strategy organization. Accountable for recruitment, development, and scoping new roles as well as managing headcount requests and budgets
  • Collaborate with Chief Credit officer and credit strategy team to prioritize capabilities, initiatives and identify risks and opportunities for pending initiatives
  • Liaise with Capital, Product and Technology teams on capabilities, solutions, and provide infrastructure roadmap for related data science priorities. 
  • The ideal candidate will work with a high sense of urgency and be willing to roll up their sleeves and be hands-on as needed

    • Role Requirements
  • Minimum of 10 years working experience in the field of Data Science
  • Minimum of 7 years experience developing credit models in support of credit lending decisions. Experience fintech type organizations a plus
  • Minimum of 3 years experience leading and developing data science teams
  • Strong written and verbal communication skills. Must demonstrate strong ability to collaborate within cross functional teams, serve and influence various stakeholders/leaders.  Experience and capable of public speaking a plus.
  • Foundational understanding of the technical aspects of Data Science – knowledgeable in statistics, machine-learning techniques, experimental designs, and know how to obtain and use big data (structured and un-structured).
  • Experience in building and deploying AI/ML stacks via CI/CD and pipeline orchestration tools in cloud production environments/containers in ECS/EKS required – including data pipeline, CDK/SDK, Cloudformation/Terraform, and familiar with AWS services and various ML/Deep Learning tools.
  • Bachelor’s degree in Statistics, Mathematics, Operational Research, Computer Science, Engineering, Data Science or other quantitative major. Masters or PhD is preferred. 
  • Proficient in writing your own SQL and Python including machine-learning libraries (panda, scikit-learn, matplotlib, etc.).  Experience using Amazon AWS cloud-based computing stack a plus.


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