Senior Data Scientist

About the role

We are looking for a data‑driven professional to measure, understand, and improve the performance of our risk strategies while staying ahead of evolving fraud threats. You will work directly with clients to understand their unique fraud challenges, rapidly prototype proof‑of‑concept models, and build scalable, production‑ready solutions using machine learning and graph analytics. You will also analyze complex datasets, design metrics, build dashboards, and collaborate with stakeholders across the business to drive decision‑making and optimize outcomes.

Key responsibilities

• Champion a data‑first approach across internal teams and client engagements, promoting clarity and impact.
• Build and deploy machine learning models to prevent fraud across diverse fintech use cases, from proof‑of‑concept through to production.
• Develop and track metrics to measure and monitor the performance of risk products and the effectiveness of risk management strategies.
• Conduct in‑depth analyses to uncover insights that contribute to fraud reduction and higher approval rates for clients.
• Work directly with clients to translate complex data insights into clear, actionable recommendations.
• Create and automate self‑serve dashboards leveraging BI tools.
• Collaborate with engineering to scale models into production, optimize performance, and support data instrumentation.
• Partner with cross‑functional teams (Business, Product, Engineering) to translate business requirements into data‑driven solutions.

Required profile

• 7+ years of experience in data science, quantitative modeling, or a data‑focused role with high impact in fraud or risk contexts.
• Strong hands‑on experience with Python/R and SQL; Spark is a plus.
• Expertise in BI tools such as Tableau, Sigma, or Metabase.
• Proven ability to structure and analyze complex data using EDA, cohort analysis, and to communicate findings to technical and non‑technical audiences.
• Sharp critical thinking and creative problem‑solving skills with a bias toward action.
• Proficiency in defining, tracking, and communicating performance metrics.

Required skills

• Python
• R
• SQL
• Spark
• Tableau
• Sigma
• Metabase

What we offer

• Generous compensation in cash and equity.
• Early exercise for all options, including pre‑vested.
• Remote‑first culture with flexible work locations.
• Flexible paid time off and year‑end break.
• Health, dental, and vision coverage for employees and dependents (US and Canada specific).
• 4% matching in 401k / RRSP (US and Canada specific).
• MacBook Pro delivered to your door.
• One‑time stipend to set up a home office.
• Monthly meal and social meet‑up stipends.
• Annual health, wellness, and learning stipends.