Lead Data Scientist - FinCrime - Remote

Overview

As a Lead Data Scientist at Tide, you will build and embed intelligence into products to reduce fraud and enhance FinCrime efforts, collaborating closely with the FinCrime team.

In Short

• Lead the development of data products for fraud detection.
• Collaborate with the FinCrime team to solve fraud-related challenges.
• Translate business requirements into data-driven solutions.
• Train and optimize machine learning models for fraud detection.
• Deploy models into production for real-time detection.
• Mentor junior data scientists and set best practices.
• Adopt innovative methodologies for continuous improvement.
• Serve as a subject matter expert in fraud detection and data science.

Requirements

• 8+ years of experience in Data Science, particularly in fraud detection.
• Expertise in machine learning model design and deployment.
• Proficiency in handling large datasets and data analysis techniques.
• Experience with tools like PySpark, Databricks, AWS, or GCP.
• Ability to deploy production-ready models and ensure their performance.
• Expertise in data and model observability.
• Background in Fintech and financial crime.
• Strong collaboration and communication skills.

Benefits

• Competitive salary.
• Health insurance for self and family.
• Term and life insurance.
• OPD benefits.
• Mental wellbeing support.
• Learning and development budget.
• Work from home setup allowance.
• 15 days of privilege leaves.
• 12 days of casual leaves.
• 12 days of sick leaves.
• 3 paid days off for volunteering or learning activities.
• Stock options.