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we are looking for an experienced Data Scientist to join us and take a key role in turning large-scale, real-world data into smarter product and business decisions.With millions of users interacting with mobility services, our data reflects complex customer behavior, business models, and real-life mobility patterns.We're looking for someone who can go beyond building models - someone who knows how to identify the right problems, challenge assumptions, uncover opportunities in the data, and translate them into real business impact.
You'll have significant professional ownership, from taking an ambiguous business question and framing it as a statistical or Machine Learning problem, through choosing the right methodology, building and evaluating the solution, and bringing it to production.Just as importantly, we expect you to proactively identify questions that should be answered with data - even when nobody has asked them yet.
Responsibilities:
Own Data Science problems end-to-end - from business question and hypothesis to modeling, evaluation, and production.
Partner closely with Product, Business, Data, and Engineering teams to translate complex business challenges into data-driven solutions.
Proactively identify opportunities where statistical analysis, Machine Learning, and AI can improve our products, customer experience, and business performance.
Build, train, evaluate, and improve Machine Learning models used in production, across both real-time and batch use cases.
Select the right statistical or ML approach based on the problem and the data - including recognizing when a simple analytical solution is better than a complex model.
Define meaningful evaluation methodologies and connect model performance to real business impact.
Communicate complex statistical findings clearly to both technical and non-technical stakeholders.

We're hiring a hands-on delivery engineer to take Cortex deployments from initial setup through production rollout and keep them running well afterward. You'll own the technical execution of Cortex projects for our customers: standing up the platform, onboarding data sources and endpoints, tuning detections, and building automation playbooks. Once a deployment goes live, you'll also pick up operational issues for it and for other customers.
Responsibilities:
Configure and deploy Cortex XDR, XSIAM, and XSOAR, translating architecture and design decisions into a working environment
Lead endpoint agent rollout, log source and data onboarding, and integration configuration across a customer's security and IT stack
Tune detection rules and correlation logic to reduce noise and align with each customer's environment and threat profile
Build and maintain XSOAR playbooks that automate response actions and reduce manual triage work
Troubleshoot production issues across the platform: agent health, ingestion failures, integration breakage, playbook errors, and detection gaps
Write clear documentation and runbooks
Escalate to Palo Alto support channels when an issue requires vendor involvement, and manage the case through to resolution
Validate a project's technical scope against the signed SOW before kickoff, and flag gaps or risks early

We are looking for a Senior Software Engineer to join our team responsible for the machine identity and access offering, designing and developing services used as part of our SaaS products.
The team designs and develops services that integrate closely with leading cloud vendors like AWS, Azure, GCP, and many other DevOps services and tools, providing managed access to sensitive assets in the organization.
In this role, you will be using advanced AWS micro-services, with Ruby, Golang, Java and Python through the entire SDLC from planning to production.
The team collaborates with security architects, product managers, and other development teams.
Together we produce complex and advanced solutions that meet the highest security and scalability standards.
We are looking for someone energetic and versatile to join our family and help us achieve our goals.
Design and develop new features using container-based architectures
Research new technologies and platforms
Be a member of a highly talented cross-functional development team of developers, architects, and QA engineers, in an agile oriented environment
Participate in continuous and iterative engineering cycles, emphasizing code quality, supportability, scalability, and performance.

we are looking for a Staff Backend Engineer - Moderation.
Why This Role Is Different:
You will work on a backend system where scale, cost, and correctness all matter at the same time.
You will have real architectural ownership, direct customer impact, and the freedom to move fast without heavy process.
Few roles offer this combination inside a mature company.
What You Will Do:
Own the Server Side
Design, build, and evolve the server side of a moderation platform operating at scale, including:
High throughput async pipelines
Large volumes of images and videos
Multi tenant systems
Cost sensitive ML workloads
Agentic moderation workflows and AI-driven decision systems