About AppsFlyer
The leading marketing analytics platform for growth
Key Highlights
- 12,000+ customers including Walmart, Nike, and HBO
- $28 billion in ad spending evaluated annually
- 20 global offices with a strong community presence
- $293.1 million raised in Series C funding
AppsFlyer is a leading marketing analytics platform headquartered in SoMa, San Francisco, CA. With over 12,000 customers, including major brands like Walmart, Nike, HBO, and NBC Universal, AppsFlyer processes $28 billion in ad spending annually. The company has raised $293.1 million in funding and o...
π Benefits
AppsFlyer offers a generous employee stock option package, comprehensive private health insurance, and a Global Employee Exchange Program allowing sta...
π Culture
AppsFlyer fosters a culture of innovation and community engagement, with a strong focus on corporate social responsibility through its AppsFlyer Cares...
Overview
AppsFlyer is hiring a Data Scientist to enhance fraud detection capabilities using advanced machine learning techniques. You'll work with technologies like Python, Spark, and TensorFlow in Herzliya.
Job Description
Who you are
You have a strong background in data science, with experience in analyzing large datasets and developing machine learning models. Your expertise in Python and its scientific stack allows you to manipulate data effectively and derive meaningful insights. You are familiar with frameworks such as TensorFlow and PyTorch, which you have used to build and deploy machine learning models. You understand the importance of real-time data processing and have experience with tools like Kafka and Spark to handle massive data streams. Your knowledge of AWS services enables you to leverage cloud computing for scalable solutions. You are detail-oriented and possess strong analytical skills, allowing you to identify fraud patterns and develop prevention strategies. You thrive in collaborative environments and are eager to contribute to a team focused on innovation and excellence.
What you'll do
As a Data Scientist at AppsFlyer, you will mine massive datasets to uncover fraud patterns and identify prevention opportunities. You will develop and productionize large-scale machine learning, deep learning, and AI models to detect and prevent fraudulent activity. Your role will involve translating business and product needs into scientific, explainable, and high-impact solutions. You will design and maintain end-to-end machine learning pipelines, from data ingestion and feature engineering to serving and monitoring in production. You will collaborate with cross-functional teams to ensure that the solutions you develop align with the company's goals and effectively address emerging threats in the mobile attribution and marketing analytics space. Your contributions will play a crucial role in enhancing the capabilities of Protect360, the leading anti-fraud solution in the market.
What we offer
At AppsFlyer, we provide a dynamic work environment that encourages innovation and collaboration. You will have the opportunity to work with cutting-edge technologies and be part of a team that is dedicated to making a significant impact in the industry. We value diversity and believe that a diverse team leads to better products and solutions. We offer competitive compensation and benefits, along with opportunities for professional growth and development. Join us in our mission to protect advertisers from fraudulent traffic and help save millions of dollars for our customers.
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