Mission Lane

Head of Data Science

Mission Lane

full-time

Posted on:

Location Type: Remote

Location: United States

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Salary

💰 $250,000 - $270,000 per year

Job Level

About the role

  • Lead the strategic direction of data science for the next phase of Mission Lane’s growth
  • Innovate on the application of machine learning to underwriting and other practical problems
  • Report directly to the COO
  • Lead one of the most knowledgeable and effective data science teams in fintech
  • Drive financial and customer outcomes through machine learning and cross-functional collaboration with the entire business
  • Develop the data science team to add new data sources, improve modeling methodology, and practice sound risk management

Requirements

  • Understands how to operate a data science team to reach strategic business goals through talent development, cross-functional partnerships, and technical innovation
  • Has experience applying data science to credit risk management
  • Can make your team better every day because you can be clear about goals and the team’s purpose
  • Can execute through education, organization, and trust
  • Has a deep understanding of the field of data science and can communicate a vision
  • Has created, deployed, and managed experiments and models in production systems
  • Knows and teaches solid fundamentals with software engineering (test-driven development, code review, refactoring) and the PyData stack (numpy, scikit-learn, polars, etc.)
  • Balances the demands of development speed with the need to meet compliance standards and documentation
Benefits
  • Full health, dental, and vision benefits
  • Flexible Spending Account (for medical and childcare expenses)
  • Paid parental leave
  • 401k Company Match
  • Generous PTO
  • Flexible schedules
  • Calm App subscription
  • Additional compensation in the form(s) of participation in our annual incentive program and equity
Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools
machine learningdata sciencecredit risk managementmodeling methodologyrisk managementtest-driven developmentcode reviewrefactoringnumpyscikit-learn
Soft Skills
leadershipcross-functional collaborationtalent developmentcommunicationorganizationtrustgoal settingvision communicationteam developmentexecution