Best Egg

Data Scientist

• You are empowered to influence our marketing outreach initiatives by building and utilizing your robust models.
• Take ownership of a rich library of machine learning tools and enjoy authority to continue to research efficient and effective strategies.
• Access a deep set of applications, bureau, web, and alternative data to gain insights and convert these insights into actionable outreach strategies and models.
• Build end-to-end machine learning pipelines including data extraction, feature engineering, model building, performance evaluation, and implementation.
• Collaborate with key marketing stakeholders to deliver self-service tools they can leverage to make optimal marketing decisions for the business
• Leverage modern suite of AI applications to optimize your workflow and help push the company forward

Data Scientist – Product DS

• Build and enhance credit risk models (e.g., Gen5B Shadow/Gen6, and Autonomous Underwriting) to improve credit predictability and manage portfolio risk.
• Work with MLOps, Feature Platform, Credit Strategy, and Implementation teams to build adaptive modeling pipelines that connect model insights directly to automated, production-ready decision flows.
• Keep our modeling framework responsive to changes in credit quality and macroeconomic trends.
• Conduct exploratory data analysis and experiment tracking to identify key risk drivers and optimize model performance.
• Own Python project structure, CI/CD setup, and end-to-end testing for reliable model delivery.
• Partner with MLOps and Feature Platform to maintain model pipelines (Metaflow, SageMaker, etc.) and streamline model deployment.
• Support model deployment and validation to make sure that models run reliably in production and deliver consistent results.
• Improve overall development efficiency through standardization, automation, version control, and reproducibility.
• Expand monitoring frameworks to underwriting models.
• Support bank and compliance reviews of model performance, PSI/CSI analysis, reject inference, and validation.
• Maintain audit-ready documentation and data transparency for internal and external partner reviews.
• These efforts complement the broader model monitoring and compliance initiatives led by the Credit DS team.

Data Scientist – Credit

Product Manager

• Develop a compelling product vision and roadmap aligned with company objectives and market opportunities for your pod. Be the evangelist and expert in your product area.
• Lead the end-to-end product development lifecycle, from ideation to launch, ensuring high-quality execution; driving clarity throughout the entire PDLC.
• Utilize qualitative and quantitative insights and discovery techniques to deeply understand customer needs and pain point to drive your roadmap and future iterations.
• Partner closely with engineering, general managers, design, data, marketing, and operations to drive innovation and deliver impactful solutions that balance customer and business needs.
• Leverage metrics, A/B testing, and user feedback to make informed product decisions.
• Be able to clearly tie the work of your team to the business outcomes that work enables, continuously iterating on the product using feedback, market trends and data until the outcome is achieved.

Senior Product Manager

Administration

• Manage and support Mobile Device Management (MDM) tools (e.g., Intune, Jamf), including policies, profiles, and reporting.
• Manage AWS Workspaces, including image creation and provisioning.
• Assist with implementation of enhancements to Jira Service Management (JSM) workflows, SLAs, and automation rules.
• Maintain service desk portals and knowledgebases.
• Manage JSM projects, SLAs, request types, and workflows.
• Assist with automation and scripting to streamline support and operations.
• Troubleshoot endpoint-related issues and escalate as necessary.
• Create and maintain endpoint baselines, images, and device compliance standards.
• Collaborate with IT team leads on endpoint-related projects and deployments.

Endpoint Administrator

Manager

• Project Management: Plan, schedule, and track project timelines and milestones using appropriate tools. Manage changes to project scope and schedule to keep the project plan accurate, updated, and reflective of authorized project changes.
• Stakeholder Communication: Serve as the primary point of contact for project communications, effectively communicating project expectations to team members and internal and external stakeholders in a timely and clear fashion.
• Delivery Management: Organize, schedule, and deliver each phase of product delivery – story refinement, prioritization, resource allocation, coordination and assistance in UAT and PVT Testing, change management, & deployment
• Maintain delivery best practices and documentation.
• Team Leadership: Lead and motivate project teams, facilitating the collaboration of cross-functional teams to achieve project goals and deliverables.
• Risk Management: Identify potential risks and devise contingency plans to manage them effectively.
• Quality Assurance: Ensure that all products meet the required standard of quality through regular testing and reviews.
• Continuous Improvement: Analyze project outcomes and processes and initiate continuous improvement efforts to enhance the efficiency and effectiveness of product delivery.

Data Scientist – Product DS

Data Scientist – Credit

Senior Product Manager

Endpoint Administrator

Delivery Manager