Data Scientist
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Job Location:
Monthly Salary:
Posted on:
06-11-2025
Vacancies:
1 Vacancy
Job Summary
AppsFlyer is a cutting-edge technology company that specializes in mobile attribution and marketing analytics.
We run at a massive scale- t any given moment thousands of servers are consuming 150 billion mobile app events crunching our users data serving requests and communicating on a massive scale.
Fueled by the AppsFlyer platform Protect360 is the leading anti-fraud solution in the market protecting advertisers from fraudulent traffic and saving millions of dollars for our customers.
We detect fraudulent traffic (fake installs and attribution hijacking attempts) in real time using machine learning deep learning and advanced AI techniques applied on massive data streams.
Were looking for a data scientist to join our team and further improve fraud detection capabilities.
This position involves analyzing evolving fraud patterns developing and deploying advanced prevention components and leveraging domain expertise data tools and modern AI methods to stay ahead of emerging threats.
A partial list of our tech stack: Python (and its related scientific stack) Spark TensorFlow/PyTorch Kafka AWS services Airflow Scala BigQuery and more
What youll do
- 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 Protect360s algorithms.
What you have
- in Computer Science Mathematics Statistics Engineering or a related field
- 4 years of experience in applied Data Science or Algorithmic Development preferably 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 practices 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.
Bonus Points
- Experience in the ad-tech industry or with fraud detection systems.
- Familiarity with LLMs generative AI or representation learning for anomaly detection.
- Proven track record working with large-scale distributed data systems.
- Being introduced by an AppsFlyer employee
As a global company operating from 20 offices worldwide we reflect the human mosaic of the diverse and multicultural world in which we live. We ensure equal opportunities for all of our employees and promote the recruitment of diverse talents to our global teams without consideration of race gender culture or sexual orientation. We value and encourage curiosity diversity and innovation from all our employees customers and partners.
Key Skills
- Laboratory Experience
- Immunoassays
- Machine Learning
- Biochemistry
- Assays
- Research Experience
- Spectroscopy
- Research & Development
- cGMP
- Cell Culture
- Molecular Biology
- Data Analysis Skills
About Company
AppsFlyer was founded over ten years ago with a mission to help marketers succeed. From the beginning, we have been committed to four things: accurate data, unmatched privacy and security, open tech-stack innovation, and an unbiased, customer-obsessed approach. These four pillars have ... View more
