Remote Data Science Manager — Fraud & Risk

SentiLink; San Francisco (CA); Hybrid; USD 210,000 - 260,000; Full time

Benefits offered by this job

Employer paid health insurance

401(k) plan with employer match

Flexible paid time off

Regular company-wide events

Home office stipend

Job summary

SentiLink is hiring a Data Science Manager for Application Fraud in San Francisco, CA. In this crucial role, you will manage a team of skilled data scientists, focusing on developing fraud detection models. Your expertise will drive the team's efforts in innovative identity verification solutions.

Ideal candidates bring at least 10 years of relevant experience, including team management and a strong foundation in data science. You'll thrive in a fast-paced environment and communicate effectively with senior management. SentiLink offers a flexible working environment with competitive compensation.

Qualifications

• 10+ years relevant work experience and relevant Master's or 7+ years and relevant PhD.
• 2-5 years experience managing a team of data scientists.
• Excellent communicator and team player.

Responsibilities

• Manage a team of data scientists, aiming to grow from 2-3 to 5-6.
• Lead planning and communications with senior leadership.
• Develop and maintain fraud detection models.

Skills

Team management

Data science expertise

Communication

Problem solving

ML/Stats knowledge

Education

Masters degree or PhD

Tools

Python

PostgreSQL

AWS

Job description

SentiLink is hiring a Data Science Manager for Application Fraud in San Francisco, CA. In this crucial role, you will manage a team of skilled data scientists, focusing on developing fraud detection models. Your expertise will drive the team's efforts in innovative identity verification solutions.

Ideal candidates bring at least 10 years of relevant experience, including team management and a strong foundation in data science. You'll thrive in a fast-paced environment and communicate effectively with senior management. SentiLink offers a flexible working environment with competitive compensation.