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.
We’re 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 you'll 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 Protect360’s algorithms.
What you have
- M.Sc in Computer Science, Mathematics, Statistics, Engineering or a related field
- 5+ 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.
“As a Customer Obsessed company, we must first be Employee Obsessed. We need to make sure that we provide the team with the tools and resources they need to go All-In.” Oren Kaniel, CEO
Skills Required
- M.Sc. in Computer Science, Mathematics, Statistics, Engineering, or a related field
- 5+ years of experience in applied data science or algorithmic development
- Experience working in large-scale production environments
- Hands-on experience training and fine-tuning machine learning, deep learning, and AI models
- Strong programming skills in Python
- Proficiency in SQL
- Understanding of data pipelines, MLOps practices, and very large datasets
- Ability to mentor, collaborate, and communicate complex ideas clearly
- Experience in ad tech or fraud detection systems
- Familiarity with LLMs, generative AI, or representation learning for anomaly detection
- Experience with large-scale distributed data systems
AppsFlyer Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about AppsFlyer and has not been reviewed or approved by AppsFlyer.
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Wellbeing & Lifestyle Benefits — Wellbeing support is positioned as a meaningful part of the rewards package, including private health insurance and wellness offerings like fitness classes. Additional extras such as events, work‑from‑home support, and global mobility opportunities are portrayed as adding tangible value beyond cash compensation.
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Equity Value & Accessibility — Equity is framed as broadly accessible, with stock options described as available to all employees. This expands the total rewards mix and can make overall compensation feel stronger even when salary alone is debated.
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Strong & Reliable Incentives — Total compensation in certain technical and revenue roles is presented as capable of reaching competitive levels, implying meaningful upside where role/market fit is strong. Sales compensation is described as potentially attractive on-target, which can reinforce perceived earning opportunity when performance aligns with plan design.
AppsFlyer Insights
What We Do
AppsFlyer helps brands make good choices for their business and their customers through innovative, privacy-preserving measurement, analytics, fraud protection, and engagement technologies. Built on the idea that brands can increase customer privacy while providing exceptional experiences, AppsFlyer empowers thousands of creators and 8,000+ technology partners to create better, more meaningful customer relationships. To learn more, visit www.appsflyer.com.
