Data Team Manager

Tel Aviv

R&D

We are looking for a Data Team Manager to join PerimeterX’s research group in Tel Aviv. Our goal is to provide the best data science solutions to optimize our products, prevent cybercriminals from our fortune 500 customers traffic, and clean up the internet from bad bots and web threats.  The team's solutions will directly contribute to and affect PX’s business outcomes, customer experience, and performance. It’s an opportunity to be a pioneer - design and build the company’s ML/AI models and capabilities, impact billions of requests and directly build and manage a team of data scientists and data analysts.  Join us and take part in one of the most exciting, challenging, and promising cybersecurity startups today, and help us in our mission to protect the internet from malicious bots and web attacks. 

What will you do:

  • Build, Lead and manage a team of Data Scientists and Analysts that will work closely with all the departments in the company (product, engineering, etc.).
  • Develop and lead large-scale technical implementation of advanced Machine Learning algorithms for our web security products. Use innovative technologies that combine work with practical projects and research projects - from the data analysis stage to prototyping of new ideas, their implementation in a production environment, and then monitoring and maintaining them.
  • Work on projects in the fields of supervised and semi-supervised learning, anomaly detection, time series forecasting, and more.
  • Make an impact - Shaping the business, data science, and research directions by developing new algorithms and features.
  • Assess the effectiveness and accuracy of significant data sources and data gathering techniques.

What you'll need:

  • 3+ years of proven record leading a team of experienced and junior data scientists with clear KPIs and results (a multidisciplinary team is preferable).
  • An M.Sc. in a quantitative field (e.g., Statistics, Economics, Sciences, Engineering, Computer Science).
  • Proven hands-on experience developing and researching algorithms in data science/machine learning techniques and statistical methods, such as: boosting and bagging algorithms, time series models, clustering and anomaly detection methods, and more.
  • Proven experience in taking projects through all the stages of a new ML model, from data analysis and labeling to prototyping, implementation in a production environment, and monitoring and maintenance. Delivery oriented.
  • Proficiency with Python and SQL. 
  • Experience working with and creating data architectures.
  • Independent and innovative with the ability to lead problem definition and goal definition processes.
  • Fluent in English (speaking and writing).

Nice to have:

  • Experience in MLOps methods – Docker, Kubernetes, Google MLOps, etc.
  • Background in cyber-security or fraud fields.
  • Experience with continuous learning methods.
PerimeterX is the leading provider of application security solutions that keep your web business safe in the complex digital world. Delivered as a service, the company’s Bot Defender, Code Defender, and Page Defender solutions detect risks to your web applications and proactively manage them, freeing you to focus on growth and innovation. Bringing together an elite engineering team, security research to continually update its solutions with current intelligence, and best-in-class customer enablement and support, the world’s largest and most reputable websites and mobile applications count on PerimeterX to safeguard their consumers’ digital experience. PerimeterX has offices in San Mateo, California, Miami, Florida and Tel Aviv, Israel. You can also find us on the web at www.perimeterx.com.
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