Senior Data Scientist — Real-Time Fraud & Risk (Remote)

Sardine; United States; On-site; USD 100,000 - 140,000; Full time

Benefits offered by this job

Generous cash and equity compensation

Health, dental, and vision insurance

Flexible paid time off

Annual learning stipend

Job summary

Sardine is seeking a data-driven professional to enhance its risk strategies with machine learning solutions. The role involves client engagement to address unique fraud challenges and requires strong analytical skills.

With 7+ years in data science and proficiency in Python/R and SQL, the ideal candidate will build predictive models and collaborate with cross-functional teams. Sardine offers a remote-first work environment with generous benefits, including health insurance, flexible time off, and a MacBook Pro.

Qualifications

• 7+ years of experience in data science or quantitative modeling.
• Strong hands-on experience with Python/R and SQL.
• Expertise in BI tools like Tableau or Sigma.

Responsibilities

• Champion a data-first approach across internal teams and client engagements.
• Build and deploy machine learning models to prevent fraud.
• Develop and track metrics measuring the performance of risk products.

Skills

Data science

Quantitative modeling

Machine learning

Python/R

SQL

Tableau

Critical thinking

Tools

Spark

BI Tools

Job description

Sardine is seeking a data-driven professional to enhance its risk strategies with machine learning solutions. The role involves client engagement to address unique fraud challenges and requires strong analytical skills.

With 7+ years in data science and proficiency in Python/R and SQL, the ideal candidate will build predictive models and collaborate with cross-functional teams. Sardine offers a remote-first work environment with generous benefits, including health insurance, flexible time off, and a MacBook Pro.