--- title: 'Senior Data Scientist at AppsFlyer' canonical: 'https://feeny.ai/job/senior-data-scientist-appsflyer-herzliya-nsy8ebk7y5n8' type: 'job' last_seen: '2026-10-14' --- # Senior Data Scientist at AppsFlyer - **Company:** AppsFlyer - **Location:** Herzliya, Israel - **Posted:** 2026-10-13 - **Last confirmed live:** 2026-10-14 - **Apply:** https://careers.appsflyer.com/jobs/position/8884649002?gh_jid=8884649002 ## Job description 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.”](https://www.appsflyer.com/blog/how-all-in-shaped-our-story-and-could-define-your-career/) Oren Kaniel, CEO ## About AppsFlyer ## Company Overview - **One-liner**: AppsFlyer provides a privacy-first, AI-powered Modern Marketing Cloud for unified measurement, data collaboration, and marketing analytics across mobile, web, CTV, and desktop. - **Entity Type**: Private (Series D+; raised $1B in June 2026 at a $2.7B valuation) - **Headquarters**: San Francisco, California, United States (also global HQ in Herzliya, Israel) - **Founded**: 2011 - **Founders**: Oren Kaniel (CEO) and Reshef Mann (CTO) ## Core Business - Primary industry: Marketing technology (MarTech) – mobile attribution, measurement, analytics, data collaboration - Target customers: B2B – brands, marketers, app developers, and agencies of all sizes (startups to global enterprises) - Mission: “Deliver AI-powered, privacy-first measurement technologies that turn data into growth opportunities.” ## Products & Services - **Measurement Suite**: Omnichannel attribution and analytics to measure marketing performance across mobile, web, CTV, and desktop (SaaS). - **Deep Linking Suite**: Tools for personalized user experiences and seamless cross-platform engagement (SaaS). - **Data Collaboration Suite**: Privacy-safe data clean room and collaboration platform for secure data sharing with partners (SaaS). - **Agentic AI Suite**: Autonomous, AI-driven workflows for user acquisition, retention, and marketing optimization (SaaS). ## Market Standing - **Valuation**: $2.7 billion (as of June 2026) - **Key Metric**: Total funding raised – over $1.2B (Series A $7.1M, B $20M, C $56M, D $210M in 2020, plus $1B round in 2026) - **Notable Investors/Partners**: General Atlantic, Google, Meta, Unity, Moloco, Pitango Venture Capital, Qumra Capital, Goldman Sachs, Deutsche Telekom Capital Partners - **Growth Signals**: - Evolved from mobile attribution to “Modern Marketing Cloud” (Nov 2025) - Acquired Devtodev (gaming analytics) and oolo (AI user acquisition) in 2023 - 15,000+ brands, 100,000+ active apps, 190+ countries reached - ~1,600 employees across 20+ offices globally (2026) ## Competitive Advantages - **Privacy-first architecture**: Built for a world of rising privacy regulations; data clean room and consent-based measurement are core differentiators. - **Industry standard for mobile attribution**: Recognized as the leading MMP (Mobile Measurement Partner) for over a decade. - **AI-native platform**: Agentic AI Suite and automated workflows give marketers a competitive edge in efficiency and insight. - **Global scale and partner ecosystem**: Integrates with Apple, Google, Meta, Amazon, AWS, and 8,000+ technology partners. ## Strategic Focus - **AI and automation**: Deepening AI capabilities to enable autonomous marketing decisions. - **Omnichannel expansion**: Moving beyond mobile to unify measurement across CTV, desktop, and offline. - **Privacy-safe data collaboration**: Growing the Data Collaboration Suite to help brands and partners share insights without compromising privacy. - **Continued global expansion**: Leveraging 20+ offices to serve local markets and enterprise clients. ## Why Work Here - **Culture**: Described as “approachable professionals, passionate, flexible, and always learning” – encourages curiosity, experimentation, and learning from mistakes. [appsflyer.com](https://www.appsflyer.com/company/about/) - **Stock options**: Every employee receives a stock option package. [careers.appsflyer.com](https://careers.appsflyer.com/) - **Global mobility**: Global Employee Exchange Program (GEEP) lets employees spend a month in another office. [careers.appsflyer.com](https://careers.appsflyer.com/) - **Perks**: Private health insurance, complimentary fitness classes, environmental sustainability support, flexible work arrangements. [careers.appsflyer.com](https://careers.appsflyer.com/) - **Work model**: Mix of remote, hybrid, and in-office roles depending on location and team (e.g., some roles listed as “Remote”, others “In-Office”). [builtin.com](https://builtin.com/company/appsflyer) - **Engineering culture**: Mission-critical platform; emphasis on data accuracy, privacy, and AI innovation. Teams are global and collaborative. ## Sources 1. [appsflyer.com](https://www.appsflyer.com/company/about/) 2. [careers.appsflyer.com](https://careers.appsflyer.com/) 3. [wikipedia.org](https://en.wikipedia.org/wiki/AppsFlyer) 4. [builtin.com](https://builtin.com/company/appsflyer) 5. [linkedin.com](https://www.linkedin.com/company/appsflyerhq) ## Other roles at AppsFlyer - [Backend Engineer](https://feeny.ai/job/backend-engineer-appsflyer-warsaw-9ejst80pc5ep) — Warsaw, Poland - [Senior SW Engineer](https://feeny.ai/job/senior-sw-engineer-appsflyer-warsaw-0h6ysshqzwq2) — Warsaw, Poland - [Senior Backend Engineer](https://feeny.ai/job/senior-backend-engineer-appsflyer-warsaw-xj5r3g12dgzg) — Warsaw, Poland - [Product Partnerships Lead](https://feeny.ai/job/product-partnerships-lead-appsflyer-herzliya-x3tn16jvwczp) — Herzliya, Israel - [Application Security Team Lead](https://feeny.ai/job/application-security-team-lead-appsflyer-herzliya-kqj8sxgkndqb) — Herzliya, Israel - [Data Analyst](https://feeny.ai/job/data-analyst-appsflyer-herzliya-4jy3p2mwfwn4) — Herzliya, Israel - [Senior Backend Engineer](https://feeny.ai/job/senior-backend-engineer-appsflyer-warsaw-g8881tmpcznb) — Warsaw, Poland - [Assistant Controller - Corporate Team](https://feeny.ai/job/assistant-controller-corporate-team-appsflyer-herzliya-50bh7f1p2kqs) — Herzliya, Israel - [Senior IT Infrastructure Operations](https://feeny.ai/job/senior-it-infrastructure-operations-appsflyer-herzliya-8bjn5wwfydtw) — Herzliya, Israel - [Senior Product Manager](https://feeny.ai/job/senior-product-manager-appsflyer-herzliya-hq5085v658jt) — Herzliya, Israel