[Hiring] Data Scientist @Prove

Role Description

We are seeking a Senior Data Scientist who combines 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.

You’ll focus on generating insights, developing models, and proactively collaborating in monitoring deployed algorithms. Beyond the technical, you’ll help identify opportunities for model-driven enhancements and business and customer recommendations based on real-world performance.

Key Responsibilities

• Statistical & ML Modeling
  • 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.
• Production Awareness & Monitoring
  • 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.
• Business Impact & Strategy
  • 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.
• Collaboration & Leadership
  • 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.

Qualifications

• 5+ years of experience applying machine learning and statistics to business problems.
• Master’s or PhD in Statistics, Computer Science, Data Science, or related field (or equivalent experience).
• Prior exposure to production ML environments and workflows.

Technical Skills

• Strong proficiency in Python (pandas, scikit-learn, PyTorch/TensorFlow).
• Strong background in statistical methods (supervised/unsupervised learning, classification models, etc.), experimental design, and data visualization (Looker) and storytelling.
• Strong proficiency in SQL (Snowflake) with an ability to work with raw data and collaborate with data engineering teams to optimize data pipelines.
• Proficiency with cloud platforms (AWS).
• Solid understanding of APIs, model deployment processes, and monitoring practices.
• Familiarity with other programming languages such as R, Java, and Go.

Soft Skills

• Excellent communication skills with ability to bridge technical and business contexts.
• Strong problem-solving and proactive ownership mindset.
• Comfort working in cross-functional teams with engineers, product managers, and business leaders.
• Ability to balance quick iterations with building long-term scalable solutions.

Benefits

• Competitive salaries & Bonus Plan (for eligible roles) and Equity Plan.
• 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).
• A great place to work and connect with other talented Provers like yourself!