Data Scientist

Remote Full TimeUnited States (Remote)Prove

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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