דרושים » תוכנה » Principal Data Scientist - LLM Agents (Cortex)

Were looking for a Data Scientist to join our AI team and play a pivotal role in transforming ASPM solution with AI.
In this position, youll develop and integrate AI-powered features to detect, prioritize, and remediate vulnerabilities while leveraging analytics to drive actionable business insights.
This is your chance to work on groundbreaking technology in a fast-paced startup environment, where your contributions will directly impact our product and market success.
What You'll Do:
Design and develop end-to-end AI/ML systems to enhance ASPM platform with intelligent vulnerability detection, prioritization, and remediation.
Analyze internal company data to generate actionable insights that drive business strategy and growth.
Lead technical projects, providing mentorship and guidance to team members.
Collaborate with cross-functional teams, including Product, Engineering, and Business, to understand requirements and deliver impactful solutions.
Build scalable, maintainable, and secure AI systems using tools like PyTorch, LangChain, and Python frameworks (e.g., FastAPI).
Continuously research and experiment with the latest advancements in AI and ML to keep Cycode at the forefront of innovation.
Ensure high-quality deliverables through a balanced approach of quick iteration and rigorous testing.

gTech Ads is responsible for all support and media and technical services for customers big and small across our entire Ad products stack. We help our customers get the most out of our Ad and Publisher products and guide them when they need help. We provide a range of services from enabling better self help and in-product support, to providing better support through interactions, setting up accounts and implementing ad campaigns, and providing media solutions for customers business and marketing needs and providing complex technical and measurement solutions along with consultative support for our large customers. These solutions range from bespoke and customized ones for our customers to scalable support for millions of customers worldwide. Based on the evolving needs of our ads customers, we partner with Sales, Product and Engineering teams within our company to develop better solutions, tools, and services to improve our products and enhance our client experience. As a cross-functional and global team, we ensure our customers get the best return on investment with our company and we remain a trusted partner.
The gTech Ads Data Science EMEA team helps measure and optimize marketing ROI for our companys largest clients. We build bespoke models that address clients key business issues.
In this role, you will be responsible for applying best data science practices to solve our ads customers problems in marketing. You will be passionate about bringing the best of our companys Machine Learning (ML) capabilities to build innovative solutions that address our customer's problem-space. You will be responsible for executing on gTechs strategy and goal to deliver applied data science to our company's largest ads customers.
Responsibilities
Lead data science aspects of client engagements in the area of marketing effectiveness and marketing portfolio management with Machine Learning and statistics.
Collaborate with customers to unpack their problems and identify the best statistical techniques that can solve the problem; own the development of a modeling framework.
Engage important stakeholders to assess data and model readiness and be able to scale a proof-of-concept to a larger solution, collaborate with Product/Engineering teams to increase and optimize capabilities of our data scientist (DS) team, employing methods which create opportunities for scale, proactively helping to drive innovation.
Work with customer and internal teams to translate data and model results into tactical and insights that are actionable for decision.
Develop comprehensive understanding of our company data structures, and metrics, advocating for product changes where needed.

We are looking for an experienced, sharp-minded and detail-oriented Data Scientist to join our growing R&D department, and work with an amazing team towards combating retail shrink - that is, catching thieves!
In this role you will develop and implement machine learning models and data-driven algorithms, create methodologies, and employ advanced data analysis techniques to define KPIs, measure our performance, and uncover actionable insights that drive impactful research. Your work will focus on transforming vast amounts of data into meaningful predictions, building scalable ML solutions, and enabling tools that improve the effectiveness of our innovative systems.
If you have a passion for data science and advanced analysis of systems solving real-world problems, wed love to hear from you!
A day in the life
Employ accurate data analysis techniques to evaluate system performance and identify areas for improvement. Produce clear, actionable insights to guide innovation and improve product KPIs.
Design and implement algorithms to automate and optimize performance measurement and decision-making processes.
Develop, train, and deploy predictive models that enhance our core capabilities.
Continuously monitor, validate, and refine models in production to ensure accuracy and robustness.
Collaborate with algorithm researchers, product managers, and Operations to align model design with business and R&D goals.

Were looking for a Data Researcher to join the AI Research Team and spread the power of our company. In this role, youll push the boundaries of data security and insight extraction in cloud environments. You'll be at the forefront of developing sophisticated methods to classify and secure sensitive data, addressing challenges like unstructured data and document files. Operate at a large scale and collaborate with some of the largest customers in the world.
WHAT YOULL DO
Develop advanced classification tools and methodologies to accurately identify sensitive data stored in cloud service providers like AWS, Azure, and GCP.
Research and analyze sensitive data, including the identification of Personally Identifiable Information (PII) and secrets such as passwords and API tokens, across both structured (e.g., JSON, CSV) and unstructured formats (e.g., code, text).
Identify and assess data security risks and use cases within cloud environments.
Collaborate with data scientists, engineering, and product teams to drive data-driven product decisions for large-scale projects, working closely with our biggest customers.
Leverage Large Language Models (LLMs) and advanced AI technologies to enhance data processing and analytical workflows, improving efficiency and accuracy.

As a Data Scientist at our company, you will shape the future of people-facing and business-facing products we build across our entire family of applications. By applying your technical skills, analytical mindset, and product intuition to one of the richest data sets in the world, you will help define the experiences we build for billions of people and hundreds of millions of businesses around the world. You will collaborate on a wide array of product and business problems with a varied set of cross-functional partners across Product, Engineering, Research, Data Engineering, Marketing, Sales, Finance and others. You will use data and analysis to identify and solve product development's biggest challenges. You will influence product strategy and investment decisions with data, be focused on impact, and collaborate with other teams. By joining our company, you will become part of a world-class analytics community dedicated to skill development and career growth in analytics and beyond. Product leadership: You will use data to shape product development, quantify new opportunities, identify upcoming challenges, and ensure the products we build bring value to people, businesses, and our company. You will help your partner teams prioritize what to build, set goals, and understand their product's ecosystem. Analytics: You will guide teams using data and insights. You will focus on developing hypotheses and employ a varied toolkit of rigorous analytical approaches, different methodologies, frameworks, and technical approaches to test them. Communication and influence: You won't simply present data, but tell data-driven stories. You will convince and influence your partners using clear insights and recommendations. You will build credibility through structure and clarity, and be a trusted strategic partner.
Data Scientist, Product Analytics Responsibilities
Work with large and complex data sets to solve a wide array of challenging problems using different analytical and statistical approaches
Apply technical expertise with quantitative analysis, experimentation, data mining, and the presentation of data to develop strategies for our products that serve billions of people and hundreds of millions of businesses
Identify and measure success of product efforts through goal setting, forecasting, and monitoring of key product metrics to understand trends
Define, understand, and test opportunities and levers to improve the product, and drive roadmaps through your insights and recommendations
Partner with Product, Engineering, and cross-functional teams to inform, influence, support, and execute product strategy and investment decisions.

we are looking for a Data Scientist to join our team.

The ideal candidate is a highly motivated and self-driven individual with strong analytical and problem-solving skills. The Data Scientist will be responsible for analyzing data and developing models to help inform decisions and strategies for new products and business initiatives.



Responsibilities:

Work closely with stakeholders to understand business requirements and develop predictive models to detect fraud.
Develop and implement statistical models, machine learning and deep learning algorithms to solve complex problems in a production environment.
Perform exploratory data analysis and data visualization to gain insights and communicate findings.
Collaborate with cross-functional teams, including data engineers and software developers, to design and implement end-to-end solutions that can be deployed in production.
Implement advanced analytics tools and technologies to enhance reporting capabilities.

Join the forward-thinking CloudGuard AI Security team, where youll collaborate with leading architects and engineers to design, build, and secure next-generation AI-enabled public cloud environments.
As a Data Scientist, you will not only build and refine machine learning models and analyze large-scale datasets but also take an active part in the coding effort and in developing production-grade components that power CloudGuards AI Security products.
Key Responsibilities
Develop AI Security Insights Leverage advanced statistical and machine learning techniques to detect threats, anomalies, or vulnerabilities in AI-driven cloud environments.
Build, Code & Optimize ML Solutions Design, implement, and optimize ML and LLM-based models using clean, maintainable, and efficient code; integrate them into CloudGuards product pipelines to ensure scalability and reliability.
End-to-End Product Development Collaborate with backend and DevOps engineers to deploy, monitor, and scale ML components within microservices and cloud infrastructure.
Data Exploration & Feature Engineering Conduct deep dives into complex datasets from various sources, transforming raw data into actionable features for robust model development.
Continuous Learning & Adapting Stay current on the fast-paced AI landscape, enterprise use cases, and emerging threat vectors; adapt existing models and pipelines accordingly.
Cross-Functional Collaboration Work closely with other data scientists, product architects, software engineers, and security experts to translate business needs into production-ready, data-driven solutions.

The ML Detection team is a new, cross-functional team at the core of our product strategy. Its mission is to own and advance the machine learning-based validations that form the foundation of our accessibility testing solutions. This includes everything from data collection and research to deploying, monitoring, and maintaining models in production. You will lead a multidisciplinary team of Data Scientists, ML/Data Engineers, and Algorithm Developers to build foundational models and standalone validations that extend the reach and precision of our products, giving Evinced a critical competitive edge.

Your Impact:

Lead, mentor, and grow a multidisciplinary team of Data Scientists, ML Engineers, and Algorithm Developers, fostering a culture of trust, collaboration, and professional growth.
Own the end-to-end delivery of ML-based detection capabilities, from initial research and data collection to model deployment, monitoring, and algorithmic post-processing.
Provide hands-on leadership, actively contributing to technical solutions, architecture, and design reviews for new algorithms and models.
Collaborate closely with Product, DevOps, and R&D teams to align on priorities, manage integrations, and ensure efficient, impactful development cycles.
Architect and oversee the development of the infrastructure required for the entire ML lifecycle, including data management, experimentation platforms, and model deployment/monitoring systems.
Define and refine team processes, tools, and methodologies to optimize performance, quality, and stability, ensuring data science tasks have clear definitions of done.
Drive the strategic vision for the evolution of our detection capabilities, including UI patterns, interactive elements and accessibility issues, to meet current and future needs.
Act as the primary problem solver and technical resource for the team, guiding them through complex research and engineering challenges.

We are seeking a Senior Data Scientist who thrives on exploring complex data sets, extracting meaningful insights, and building high-quality, real-time data products to enhance our cutting-edge technologies. At Bigabid, we value talent and collaboration, fostering an environment where employees support one another to grow both individually and as a team. Our work is rewarding, challenging, and fun all while exceeding our clients expectations.

Responsibilities:

Deliver end-to-end machine learning models and impactful research.
Play a critical role in model development, prototyping, offline validation, production implementation, and online testing of our suite of ML products
Analyze vast and complex data sets to identify meaningful patterns and engineer features for ML models.
Design, build, tune, and interpret ML models by applying the scientific method and leveraging cutting-edge techniques.
Perform data manipulation, cleaning, validation, and cross-domain research to enrich insights and solutions.
Generate creative research ideas and actionable insights to address challenging business and technical problems.
Collaborate with product managers and engineering teams to align on problem definitions, trends, and solution opportunities.

We are seeking an experienced and passionate Research Manager to lead our Customer Success applied research team. In this pivotal role, you will lead a dedicated team of researchers focused on understanding our customers needs, experiences, and interactions with our products, and identify proactive paths to enhance customer experience.

As a Research Manager in our Customer Success you will

Manage and mentor a team of researchers and analysts, providing guidance on research methods, project execution, and professional development.

Foster a collaborative and innovative team environment that encourages creativity and knowledge sharing.

Strong leadership and team management skills, with a track record of developing high-performing teams.

Tap into an existing experimental research framework and facilitate its execution at scale.

Develop and implement a comprehensive research strategy that aligns with the goals of the Customer Success group and the broader organization.

Oversee the design, execution, and analysis of qualitative and quantitative research projects to gather insights about customer behavior, preferences, and pain points.

Translate complex research findings into actionable insights and recommendations for Customer Success, Product, and additional groups within us.

Identify opportunities for improving customer engagement and loyalty based on research findings.

Collaborate with stakeholders across Customer Success, Product Management, Marketing, and Sales to ensure research efforts are aligned with business objectives.

Work closely with the developers in the Customer Success Applied Research group to align the development of internal research tools.

Prepare and present research findings and recommendations to senior leadership and stakeholders in an easily digestible format.

Champion the voice of the customer across the organization by effectively communicating insights from customers and advocating for their needs.

Mentor and develop team members, fostering a culture of continuous learning, growth, and excellence.

Stay up-to-date with industry trends, best practices, and emerging technologies related to customer experience and research methodology.