Logo for Sardine

Data Scientist-Post Sales

Roles & Responsibilities

  • 7+ years of experience in data-focused roles (e.g., product analytics, business analytics, or data science) with demonstrated impact
  • Prior experience in Fraud/Risk domain
  • Hands-on SQL and Python proficiency
  • Experience with BI tools (Tableau, Sigma, Metabase) and building ML models to address business challenges

Requirements:

  • 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 client approval rates
  • Build and experiment with ML models to identify fraudulent patterns and enhance fraud detection capabilities
  • Create and automate self-serve dashboards leveraging BI tools and collaborate with cross-functional teams to translate business requirements into data-driven solutions

Job description

Who we are:

We are a leader in fraud prevention and AML compliance. Our platform uses device intelligence, behavior biometrics, machine learning, and AI to stop fraud before it happens. Today, over 300 banks, retailers, and fintechs worldwide use Sardine to stop identity fraud, payment fraud, account takeovers, and social engineering scams. We have raised $145M from world-class investors, including Andreessen Horowitz, Activant, Visa, Experian, FIS, and Google Ventures.

Our culture:

  • We have hubs in the Bay Area, NYC, Austin, and Toronto. However, we maintain a remote-first work culture. #WorkFromAnywhere

  • We hire talented, self-motivated individuals with extreme ownership and high growth orientation.

  • We value performance and not hours worked. We believe you shouldn't have to miss your family dinner, your kid's school play, friends get-together, or doctor's appointments for the sake of adhering to an arbitrary work schedule.

About the role:

We’re looking for a data-driven professional to help us measure, understand, and improve the performance of our risk strategies. In this role, you’ll analyze complex datasets, design metrics, build dashboards, and collaborate closely with stakeholders across the business to drive decision-making and optimize outcomes.

What you’ll be doing:

  • 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 valuable insights contributing to fraud reduction and higher approval rates for our clients.

  • Serve as a client-facing partner by translating complex data insights into clear, actionable recommendations 

  • Build and experiment with ML models to identify fraudulent patterns and enhance fraud detection capabilities.

  • Work with engineers on data instrumentation.

  • Create and automate self-serve dashboards leveraging BI tools.

  • Collaborate with cross-functional teams (Business, Product, and Engineering) to understand and translate business requirements into actionable data-driven solutions.

  • Collaborate on implementing risk mitigation solutions, ensuring alignment with business goals.

What you’ll need:

  • Strong technical background with 7+ years of experience demonstrating high impact in a data-focused role such as product analytics, business analytics, or data science

  • Prior experience in the Fraud/Risk domain

  • Hands-on experience in SQL and Python

  • Expertise in BI tools such as Tableau/Sigma/Metabase

  • Exposure to building ML models to address business challenges

  • Ability to structure and analyze data, leveraging techniques like EDA and cohort analysis, transform them into understandable and actionable recommendations, and then communicate them effectively across the organization and clients.

  • Proficiency in defining, utilizing, and communicating performance metrics

  • Creative problem-solving, strong critical thinking, and a getting-things-done approach

Benefits we offer:

  • 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

Join a fast-growing company with world-class professionals from around the world. If you are seeking a meaningful career, you found the right place, and we would love to hear from you.

To learn more about how we process your personal information and your rights in regards to your personal information as an applicant and Sardine employee, please visit our Applicant and Worker Privacy Notice.

Data Scientist Related jobs

Other jobs at Sardine

We help you get seen. Not ignored.

We help you get seen faster — by the right people.

🚀

Auto-Apply

We apply for you — automatically and instantly.

Save time, skip forms, and stay on top of every opportunity. Because you can't get seen if you're not in the race.

AI Match Feedback

Know your real match before you apply.

Get a detailed AI assessment of your profile against each job posting. Because getting seen starts with passing the filters.

Upgrade to Premium. Apply smarter and get noticed.

Upgrade to Premium

Join thousands of professionals who got noticed and hired faster.