Data Scientist
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.
What this role actually needs.
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. 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 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, with Spark being a nice to have - 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 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 Company context: Sardine builds fraud, compliance, and risk infrastructure with active hiring across engineering, security, product, and data.
Day-to-day expectations
Sardine lists these responsibilities for the Data Scientist role.
- 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
What a strong candidate brings
These requirements are extracted from the source listing and normalized for UpJobz readers.
- 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, with Spark being a nice to have
- 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
Why people would want this job
Sardine published these compensation, benefits, or working-context details with the role.
- 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
Why this listing is more than a copied job post.
Data Scientist is framed against UpJobz source checks, country scope, compensation visibility, and work-authorization signals so candidates can make a faster go/no-go decision.
United States tech market
United States roles on UpJobz are filtered for high-tech relevance, source freshness, and actionable employer detail before they are allowed into SEO surfaces.
Compensation read
$175K - $210K is visible before the click, so candidates can compare the role against local market expectations before applying.
Work authorization read
Current extracted signal: United States residents. UpJobz treats this as a search signal, not legal advice, and links visa-sensitive roles back to the relevant visa hub where possible.
Location read
Because this is remote, country scope and time-zone expectations matter as much as the title. Confirm the employer's allowed work locations on jobs.ashbyhq.com.
Browse similar jobs
Turn this listing into an application plan.
This is the first pass at the premium UpJobz layer: a fast brief that helps serious applicants move with more clarity.
Next moves
- Tailor your resume around ai and llm instead of sending a generic application.
- Use the first two bullets of your application to connect your background directly to data scientist is a high-signal remote role in remote (united states), and it is most realistic for united states residents.
- Open the role quickly if it fits and bookmark three similar jobs before you leave the page.
Interview themes
Watchouts
- $175K - $210K is visible, so calibrate your application around the posted range.
- Use united states residents as part of your positioning so the recruiter does not have to infer it.
- Lead with distributed collaboration, async delivery, and timezone discipline.
Keywords to match against your background
Use these terms to decide whether your resume, portfolio, and recent projects line up with the role.
Apply through the employer source
Open the source listing from jobs.ashbyhq.com, confirm the role is still active, then apply on the employer or ATS page.
Source: jobs.ashbyhq.com · Source ID: e6764411-1740-4ce1-8a9a-79ad459082ea · Confidence: 91/100 · Last checked: May 7, 2026
How UpJobz verifies job sourcesContinue browsing tech jobs