Senior Data Scientist - Fraud Detection & Scalable ML

AppsFlyer; United States; On-site; USD 150,000 - 210,000; Full time

Job summary

AppsFlyer is seeking a data scientist to join Protect360, our leading anti-fraud solution. You will analyze fraud patterns and develop scalable ML components to detect and prevent fraud in real time, translating business needs into measurable models.

You’ll build end-to-end ML pipelines—from data ingestion to deployment—collaborating with product and engineering teams. Our stack includes Python, Spark, TensorFlow/PyTorch, Kafka, AWS, Airflow, BigQuery, and more.

Qualifications

• M.Sc in Computer Science, Mathematics, Statistics, Engineering or related field.
• 5+ years of experience in applied Data Science or Algorithmic Development in large-scale production environments.
• Hands-on experience in training and fine-tuning machine learning, deep learning, and AI models.
• Strong programming skills in Python and proficiency in SQL.
• Solid understanding of data pipelines, MLOps, and working with huge datasets.
• Ability to mentor, collaborate, and communicate complex ideas clearly to diverse audiences.
• A fast learner, problem solver, and end-to-end owner with a strong "can-do" approach.

Responsibilities

• Mine massive data sets to uncover fraud patterns and prevention opportunities.
• Develop and productionize large-scale ML, DL, and AI models to detect and prevent fraudulent activity.
• Translate business and product needs into scientific, explainable, and high-impact solutions.
• Design and maintain end-to-end ML pipelines - from data ingestion and feature engineering to serving and monitoring in production.
• Collaborate closely with product, engineering, and business teams to drive data-driven decisions.
• Stay current with AI and ML research and evaluate new technologies to strengthen Protect360's algorithms.

Skills

Data science

Machine learning

Deep learning

Python

SQL

MLOps

Mentoring

Education

M.Sc in Computer Science/Mathematics/Statistics/Engineering

Tools

Spark

TensorFlow

PyTorch

Kafka

AWS

Airflow

BigQuery

Scala

Job description

AppsFlyer is seeking a data scientist to join Protect360, our leading anti-fraud solution. You will analyze fraud patterns and develop scalable ML components to detect and prevent fraud in real time, translating business needs into measurable models.

You’ll build end-to-end ML pipelines—from data ingestion to deployment—collaborating with product and engineering teams. Our stack includes Python, Spark, TensorFlow/PyTorch, Kafka, AWS, Airflow, BigQuery, and more.