Senior Data Scientist

Sardine•,

1d•$170,000 - $210,000•Remote

About The Position

We're looking for a data-driven professional to help us measure, understand, and improve the performance of our risk strategies — and to stay ahead of evolving fraud threats by designing and deploying data-driven solutions with real-world impact. You'll 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'll also analyze complex datasets, design metrics, build dashboards, and collaborate closely with stakeholders across the business to drive decision-making and optimize outcomes. This is a hands-on, high-impact role ideal for someone who thrives at the intersection of data science, client-facing problem solving, and real-time risk.

Requirements

7+ years of experience in data science, quantitative modeling, or a data-focused role (product analytics, business analytics) with demonstrated high impact in fraud or risk contexts
Strong hands-on experience with Python/R and SQL is essential
Expertise in BI tools such as Tableau, Sigma, or Metabase
Proven ability to structure and analyze complex data using techniques like EDA and cohort analysis, and communicate findings effectively to both technical and non-technical audiences, including clients
Sharp critical thinking and creative problem-solving skills with a bias toward action
Proficiency in defining, tracking, and communicating performance metrics

Nice To Haves

Spark being a nice to have

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 our risk products and the effectiveness of risk management strategies
Conduct in-depth analyses to uncover insights contributing to fraud reduction and higher approval rates for our clients
Work directly with clients to understand their fraud challenges and translate complex data insights into clear, actionable recommendations
Use data and models to support the development of risk mitigation strategies and interventions while preserving and improving the user experience
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, and Engineering) to translate business requirements into data-driven solutions

Benefits

Generous compensation in cash and equity
Early exercise for all options, including pre-vested
Work from anywhere: Remote-first Culture
Flexible paid time off and Year-end break
Health insurance, 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 — desk, chair, screen, etc.
Monthly meal stipend
Monthly social meet-up stipend
Annual health and wellness stipend
Annual Learning stipend