Job Description
Team: IT
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.
Accountabilities:
- Lead the strategy, development, and deployment of machine learning solutions focused on growth, marketing efficiency, personalization, and customer lifecycle optimization.
- Design and implement high-impact models including propensity scoring, churn prediction, customer lifetime value forecasting, targeting, and cross-sell recommendation systems.
- Partner closely with cross-functional stakeholders in product, marketing, finance, and engineering to align ML initiatives with business objectives and measurable outcomes.
- Drive experimentation and optimization efforts through A/B testing, uplift modeling, and reward/incentive optimization frameworks to improve ROI and customer engagement.
- Identify and integrate high-value internal and external data sources to enhance model performance and support scalable marketing workflows.
- Establish best practices for model development, experimentation, validation, deployment, and monitoring across the organization.
- Promote adoption of modern AI and machine learning techniques, including the use of LLMs and agentic engineering workflows to improve productivity and operational efficiency.
- Lead large-scale, cross-functional ML initiatives while mentoring teams and influencing technical direction across the organization.
- 7+ years of experience in machine learning, data science, or related quantitative fields with a strong record of delivering production-grade ML systems.
- Proven expertise building and scaling marketing-focused machine learning models such as propensity, churn, targeting, personalization, and LTV models.
- Strong proficiency in Python, SQL, and major machine learning frameworks such as TensorFlow, PyTorch, or scikit-learn.
- Experience working with large-scale data platforms and complex datasets in cloud-based or modern analytics environments.
- Deep understanding of marketing and growth KPIs including CAC, ROAS, conversion, retention, and monetization metrics.
- Ability to lead highly ambiguous, cross-functional initiatives and translate technical concepts into actionable business strategies.
- Strong communication and stakeholder management skills with experience collaborating across technical and non-technical teams.
- Experience in fintech, financial services, or multi-product ecosystems is highly preferred.
- Familiarity with attribution modeling, marketing measurement, MMM, experimentation frameworks, or Snowflake is a plus.
- Passion for innovation, continuous improvement, and applying AI technologies to solve real-world customer challenges.
- Competitive compensation package with opportunities for long-term career growth
- Remote-first work environment with flexible working hours
- Home office stipend and support for virtual collaboration
- Comprehensive medical, dental, and vision insurance plans
- Generous paid parental and caregiver leave
- 401(k) plan with company matching contributions
- Financial wellness and advisory support programs
- Flexible paid time off and company holidays
- Opportunities to collaborate with high-performing, mission-driven teams
- Regular virtual and in-person company events to foster connection and culture
- Inclusive and collaborative workplace focused on innovation and professional development.
Requirements:
Benefits:
Explore More
Date Posted
05/15/2026
Views
0
Similar Jobs
Technical Lead Supply Chain Management and Resilience - Jobgether
Views in the last 30 days - 0
View Details