Fraud Risk Data Scientist — Remote-First ML & Impact

Sardine; España; On-site; PHP 6,056,935 - 8,479,709; Full time

Benefits offered by this job

Generous compensation

Flexible paid time off

Health insurance

MacBook Pro provided

Home office setup stipend

Monthly meal stipend

Annual learning stipend

Job summary

Sardine is seeking a data-driven professional to enhance fraud prevention strategies. This remote-first role requires 7+ years in data science, with strong skills in Python/R, SQL, and BI tools. You will work directly with clients, prototype solutions, and analyze complex datasets to optimize risk strategies. The position offers flexible work options, generous compensation, and stipends for home office setup and wellness, making it a great opportunity for someone passionate about driving real-world impact in fraud reduction.

Qualifications

• 7+ years of experience in data science or quantitative modeling.
• Strong hands-on experience with Python/R and SQL.
• Proven ability to analyze complex data using EDA techniques.

Responsibilities

• Build and deploy machine learning models to prevent fraud.
• Conduct in-depth analyses to uncover insights.
• Collaborate with engineering to scale models into production.

Skills

Data science

Quantitative modeling

Python/R

SQL

BI tools (Tableau, Sigma, Metabase)

Critical thinking

Creative problem-solving

Tools

Spark

Job description

Sardine is seeking a data-driven professional to enhance fraud prevention strategies. This remote-first role requires 7+ years in data science, with strong skills in Python/R, SQL, and BI tools. You will work directly with clients, prototype solutions, and analyze complex datasets to optimize risk strategies. The position offers flexible work options, generous compensation, and stipends for home office setup and wellness, making it a great opportunity for someone passionate about driving real-world impact in fraud reduction.