Job Description
This position is posted by Jobgether on behalf of a partner company. We are currently looking for a Lead Machine Learning Scientist in United States.
This is an exciting opportunity to lead the development of advanced machine learning solutions that directly shape customer acquisition, engagement, retention, and monetization strategies within a fast-growing digital financial ecosystem. In this role, you will combine deep technical expertise with strategic business thinking to drive impactful ML initiatives across multiple products and customer touchpoints. You will work in a highly collaborative, data-driven environment alongside teams in marketing, product, finance, and engineering to build scalable, production-grade models that influence critical business outcomes. The position offers significant ownership, visibility, and the chance to define long-term AI and ML capabilities within a rapidly evolving organization. Ideal candidates are hands-on leaders who thrive in ambiguity, enjoy solving complex challenges, and are passionate about leveraging AI to improve financial accessibility for millions of users. This remote-first environment also encourages continuous learning, innovation, and cross-functional collaboration.
This position is posted by Jobgether on behalf of a partner company. We are currently looking for a Lead Machine Learning Scientist in United States.
This is an exciting opportunity to lead the development of advanced machine learning solutions that directly shape customer acquisition, engagement, retention, and monetization strategies within a fast-growing digital financial ecosystem. In this role, you will combine deep technical expertise with strategic business thinking to drive impactful ML initiatives across multiple products and customer touchpoints. You will work in a highly collaborative, data-driven environment alongside teams in marketing, product, finance, and engineering to build scalable, production-grade models that influence critical business outcomes. The position offers significant ownership, visibility, and the chance to define long-term AI and ML capabilities within a rapidly evolving organization. Ideal candidates are hands-on leaders who thrive in ambiguity, enjoy solving complex challenges, and are passionate about leveraging AI to improve financial accessibility for millions of users. This remote-first environment also encourages continuous learning, innovation, and cross-functional collaboration.