Data Scientist Expert jobs at Wiz in Israel, Tel Aviv-yafo

WHAT YOU’LL DO

• Work as part of the Wiz Product & Data Protection Team, with members based in Israel and the US.
• Act as a key partner and advisor to Wiz’s Product and R&D teams, advising on legal, commercial, regulatory, and data protection aspects throughout the product lifecycle.
• Assess, mitigate, and manage risks related to the product lifecycle and serve as a subject matter expert on product issues.
• Handle reviews of new product features and processing activities from a privacy, data protection, and compliance perspective.
• Review and negotiate product-related vendor and integration agreements.

WHAT YOU’LL BRING

• A minimum of 3 years of experience in an in-house product counsel role. Cybersecurity experience is a plus.
• Technical understanding of the development and functionality of SaaS products.
• Familiarity with privacy, data protection, and IP laws, as well as practical issues including AI, open source, and export control.
• Experience negotiating and drafting commercial agreements, including SaaS and integration agreements, with a focus on privacy and security terms.
• Excellent ability to communicate legal requirements to a non-legal audience and identify practical solutions.
• Proven ability to collaborate effectively with other teams, including Security, GRC, Product, and R&D.
• Strong operational and organizational skills with experience building and managing processes.
• Strong research and analytical skills.
• Fluency in English is a must.

WHAT YOU’LL DO

• Lead an applied research for AI-driven features in the Wiz platform
• Cover a range of features - from leveraging LLMs to enhance customer investigation experience to novel usage of AI for cloud security
• Collaborate with engineering teams to design, build, and maintain production pipelines
• Work closely with the Security Research and Product teams to define research goals
• Conduct experiments and evaluate the performance of AI models, algorithms, and techniques using real-world datasets and simulated environments
• Stay abreast of cutting-edge AI methodologies, frameworks, and tools and apply them to improve security solutions' accuracy, efficiency, and scalability

WHAT YOU’LL BRING

• An M.S. or Ph.D. degree in computer science, statistics, or related field OR equivalent work experience
• 5+ years of experience in leading and managing data science and machine learning projects, preferably in the intersection of AI and cybersecurity
• Experience with distributed cloud systems - Hands-on familiarity with cloud systems that are distributed
• Strong knowledge of deep learning models and common model architecture such as transformer models, CNNs, RNNs
• Knowledge of programming languages that are used in AI research, such as Python, and experience with AI frameworks (e.g., Hugging Face, LangChain, OpenAI, scikit-learn, TensorFlow, PyTorch)
• Ability to work independently in a fast-paced, and come up with creative solutions to challenging problems
• Excellent communication (both written and verbal) and presentation skills
• Advantage : Knowledge of cybersecurity principles, attack vectors, and defense mechanisms

WHAT YOU’LL DO

• End-to-end development of backend software components (research, design, development, testing, rollout, monitoring)
• Contributing to technological and architectural decisions
• Conducting design and code reviews
• Analyzing and improving efficiency, scalability, and stability of various backend system components
• Collaborating with cross-functional teams (e.g., Frontend, DevOps) to deliver top-tier features.

WHAT YOU’LL BRING

• 8+ years of experience with Backend Engineering in a high-level programming language (e.g. Java, C#, Golang)
• Experience with cloud platforms (e.g. AWS, GCP, Azure)
• Experience with microservices based architecture
• Experience with databases and message queue technologies
• Experience with continuous integration and deployment (CI/CD)
• Bachelor of Science in Computer Science/Software Engineering or related field

We're looking for atalented Data EngineerWe run a SaaS-based stack using Snowflake and dbt.

WHAT YOU'LL DO

• Design, build, and maintain data pipelines, datasets and catalogs for fast-growing products and business groups.
• Develop self-service data analytics solutions and infrastructure.
• Support ad hoc needs and requests of internal stakeholders.
• Collaborate with analysts, engineers, and internal customers from Product, Finance, Revenue, and Marketing.

WHAT YOU'LL BRING

• Bachelor's or master's degree in Mathematics, Statistics, Data Science, Computer Science, Computer Engineering, or related field
• 5+ years of experience working as a Data Engineer, including end-to-end designing, orchestrating, and building cloud-based data pipelines (e.g., Airflow, Prefect, Dagster).
• 3+ years of experience with dimensional data modeling and data warehouse implementation, specifically MPP databases like Snowflake, Redshift, and BigQuery.
• Strong knowledge of Python and Python-based data analysis tools such as Jupyter Notebooks and pandas.
• Strong SQL writing skills. Ability to write highly performant queries.
• Strong track record of executing projects independently in dynamic environments.
• Fast understanding of data and business needs and ability to translate them into data models.
• Strong team player with excellent communication skills.
  

BONUS SKILLS

• dbt experience or knowledge.

WHAT YOU’LL DO

• Develop and research novel AI models, focusing on transformers and deep learning. Lead mid- to long-term projects aimed at advancing AI-driven features in the cybersecurity domain for Wiz products.
• Conduct experiments and evaluate the performance of AI models, algorithms, and techniques using real-world datasets and simulated environments.
• Stay informed about cutting-edge AI methodologies, frameworks, and tools and apply them to improve security solutions’ accuracy, efficiency, and scalability.
• Collaborate with engineering teams to design, build, and maintain production pipelines. Work closely with the Security Research and Product teams to define research goals.
• Publish research findings and AI thought leadership content and present at leading conferences such as NeurIPS, ICML, or CVPR.

WHAT YOU’LL BRING

• An M.Sc. degree in computer science, statistics, or a related field is a must; a Ph.D. degree is an advantage.
• At least 3 peer-reviewed publications in reputable academic journals or conferences.
• 5+ years of experience in leading and managing data science and machine learning projects, preferably at the intersection of AI and cybersecurity.
• Experience and hands-on familiarity with distributed cloud systems.
• Strong knowledge of deep learning models and common model architectures such as transformer models, LLMs, CNNs, RNNs. Knowledge of programming languages that are used in AI research—like Python—and experience with AI frameworks (e.g., Hugging Face, LangChain, OpenAI, scikit-learn, TensorFlow, PyTorch).
• Proven ability to work independently in a fast-paced environment and come up with creative solutions to challenging problems.
• Excellent communication (both written and verbal) and presentation skills.

ADVANTAGE

• Knowledge of cybersecurity principles, attack vectors, and defense mechanisms.
• Experience speaking at data science and AI conferences like NeurIPS, ICML, or CVPR.