Prove is driving the future of digital identity. We are looking for Data Scientists who combine strong expertise in statistical analysis and applied machine learning with practical experience in production-oriented workflows. This role is not just about building models in isolation—you will partner closely with Senior Machine Learning Engineers to ensure models are production-ready, monitored, and continuously improved.
Requirements
- Develop, validate, and tune statistical and machine learning models that solve complex business problems.
- Partner with engineers to ensure models are designed with production deployment in mind.
- Design experiments and evaluate models using robust statistical methodologies.
- Build and maintain dashboards that proactively monitor product efficacy and distribute key insights across product and customer domains.
- Collaborate with ML engineers on deployment pipelines, APIs, and infrastructure.
- Proactively monitor deployed models for drift, accuracy, and reliability.
- Provide insights and business recommendations based on model performance in production.
- Recommend retraining or refinement strategies in response to performance changes.
- Translate model results into actionable recommendations for both product and business teams.
- Identify opportunities for model improvements that drive up-sell, revenue growth, and cost reduction.
- Communicate results clearly to both technical and non-technical stakeholders.
- Work side-by-side with Senior Machine Learning Engineers to ensure smooth handoff from research to deployment.
- Mentor team in best practices for applied ML and production readiness.
- Contribute to evolving data science standards and playbooks that prioritize operational impact.
Benefits
- Competitive compensation and benefits.
- A high-impact environment and data-driven culture where your models make it into production and drive measurable business outcomes.
- Opportunities to shape both data science practices and production ML systems.
- Modern Health for financial, mental, and physical wellness
- 401(k) Retirement Plan & Match (US Offices) and Local Country Pension (International Offices)
- Unlimited Vacation and Flexible hours
- Comprehensive medical benefits for you and your family
- Emotional & Physical Wellness – Access to wellness services (EAP & Prove Well-Being Reimbursement)
- Bottomless snacks & beverages for certain office locations
- Daily GrubHub stipend for lunch if coming into the office (US Offices)
To apply for this job please visit job-boards.greenhouse.io.

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