Join an early-stage startup.

Unlock access to credit.

Accelerate economic mobility.

Join us as our 1st data science hire! If you are action-oriented and passionate about leveraging data to make better product and marketing decisions, we'd love to chat. We're looking to hire someone who can meaningfully establish and scale our data science foundation as our business grows.

About us

• Kovo is transforming financial access for underserved Americans. We believe everyone deserves the opportunity for economic independence. Our innovative financial empowerment platform creates pathways to credit and financial inclusion, empowering individuals traditionally excluded from financial opportunities.

  We've scaled revenue 10x and improved efficiency 5x over the past two years. Our revenue per employee now exceeds 2x the 90th percentile benchmark among startups. This is a venture-scale company that has started generating positive free cash flow early in its lifecycle, resulting in less dilution for our employees as we accelerate momentum without being dependent on venture funding to stay alive. We're seeking exceptional individuals eager to help us scale another 10x and beyond.

  Kovo is backed by Inspired Capital and Homebrew, along with founders and leaders from Plaid, Cash App, Affirm, NerdWallet, Ramp, Alloy, MoonPay, Uber, Etsy, LendingClub, Column, Carbon Health, Grindr, and more.

  About you

  • Energized by establishing data-driven capabilities for a business focused on financial empowerment for millions of underserved individuals

    Comfortable in a high-intensity role and seeking an ambitious workload (not a 40-50 hour workweek)

    Thrive in a remote work environment

    Prior experience (5+ years) in data science, with specific experience applying analytics and modeling techniques to accelerate and enable decision-making for marketing and product initiatives

    Motivated to use AI, automation, and data tools in your day-to-day work to push the boundaries of what a single individual can do

    Self-starter who thrives in ambiguity, handles shifting priorities fluidly, and works effectively with cross-functional teams

    Expert in data analytics, SQL, Python, and statistical modeling techniques

    Excellent communicator

    What you’ll do

    • A little bit of everything! We are a small company, and you’ll be expected to pick up many different things. You'll be our 1st data science hire, so you'll have input into long-term data design decisions. You'll help establish the data science foundation for the entire company.

      Collaborate closely with marketing to enhance acquisition strategies through predictive modeling and advanced analytics

      Develop, test, and deploy robust machine learning models and analytics tools to solve complex business and marketing problems

      Analyze our customer journey and identify areas of improvement to improve customer acquisition and retention

      Establish and improve end-to-end processes and frameworks for data-driven decision-making, from data exploration and experimentation to production deployment

      Build and maintain scalable data pipelines and infrastructure in collaboration with engineering

      Continuously evaluate and improve model performance, identifying new opportunities for enhancement

      Create intuitive dashboards and reports to clearly communicate insights across teams

      Lean on your relentless curiosity as a guide to dive deep into data, formulate insightful questions, and uncover patterns and opportunities others may miss

      Rapidly calibrate and refine your intuition and instincts stemming from a tight question/answer feedback loop

      Why you might be excited about us

      • Directly impact millions of underserved individuals’ ability to access credit

        Work with minimal bureaucracy, significant ownership, and have broad impact

        We don't micromanage and will set you up to do your best work

        Why you might not be excited about us

        • We’re a small team; roles and responsibilities evolve quickly

          Priorities and projects shift as we learn and adapt

          We’re still building foundational systems and processes