Best Egg is the leading financial confidence platform that provides flexible solutions to real-life challenges for people with limited savings. We leverage real-time customer insights and data science to connect more people with the right products for their financial needs. Our offers include a growing suite of products such as personal loans, a credit card, and flexible rent, which are complemented by a suite of financial health tools to help customers make smart financial decisions and stay on track, so they can be money confident no matter what life throws at them.

Our culture and values inspire our employees and customers to embrace Best Egg. We are committed to championing a culture of inclusiveness and diversity of thought, and we focus on providing a safe, flexible, and collaborative work environment. Our employees are encouraged to engage in creative problem solving, and we promote opportunities for growth and enrichment across the organization.

If you are inspired by inspiring others, Best Egg is the place for you.

Best Egg promotes diversity and equal opportunity. We are committed to building a team that represents a variety of backgrounds, perspectives, and skills. The more inclusive we are, the better we will grow.

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.

Employee Benefits

Pre-tax and post-tax retirement savings plans with a competitive company matching program
Generous paid time-off plans including vacation, personal/sick time, paid short-term and long-term disability leaves, paid parental leave, and paid company holidays
Multiple health care plans to choose from, including dental and vision options
Flexible Spending Plans for Health Care, Dependent Care, and Health Reimbursement Accounts
Company-paid benefits such as life insurance, wellness platforms, employee assistance programs, and Health Advocate programs
Other great discounted benefits include identity theft protection, pet insurance, fitness center reimbursements, and many more!