דרושים » תוכנה » Data Researcher

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.

This Senior Data Science Engineer role will focus on designing and implementing Networking solutions based on AI for both the enhanced monitoring of our data centers and the optimization of our networking products. Developing such platforms provides unique vital signs and uses them to identify performance degradation, component failures and abnormal usage patterns.
As a Senior Data Science Engineer in the Networking AI group, you will work closely with many different teams, solving problems with their engineering teams, and playing a key role in building successful solutions.
What You'll Be Doing:
We expect you to conduct in-depth analysis of datasets, raise and validate hypotheses, extract significant features, and build, train, and deploy models on top of them.
Design and implement high-performance algorithms and data structures applicable to large-scale datasets and distributed processing. You will own the optimization and refinement of models to meet production-level performance and accuracy.
Collaborate with cross-functional teams to help define and execute the technical strategy for integrating AI-driven monitoring and optimization into our networking systems.
Build and test prototypes to demonstrate proof-of-concept and present technical findings to stakeholders and team leadership.
Analyze technical trade-offs in different solutions and design and implement robust systems for improving the throughput of analytics on large data streams.
Lead the technical implementation and integration of data science models into production environments.

We're looking for a skilled and motivated Data Science Team Lead to guide a team of talented data scientists in developing real-time, machine learning-based products. Youll play a key role in driving innovation - researching, designing, and deploying advanced ML models that directly enhance user experience and product performance.

This is an exciting opportunity for a hands-on leader who thrives in a fast-paced, impact-driven environment.

Responsibilities:

Lead, mentor, and inspire a team of data scientistsfostering a culture of collaboration, innovation, and technical excellence
Guide team members personal and professional development
Collaborate with product and engineering teams to identify challenges, uncover opportunities, and drive data-driven solutions
Recruit and retain top-tier talent as the team grows
Research and develop ML models using cutting-edge techniques across a range of domains
Generate new ideas and insights to improve performance and deliver business value

As a Principal Data Scientist, you will apply your expertise in data analysis, machine learning, LLM agents, and cybersecurity to build new defense techniques against cyber-villains. You will be a driving force in designing and developing groundbreaking, Agentix LLM-based security solutions that block attacks even before they begin.
Your Impact
Contribute to a diverse and highly skilled research group that pioneers state-of-the-art technologies to protect our customers.
Utilize analytical rigor, statistical methods, programming, and data modeling to analyze vast amounts of data, applying your cybersecurity knowledge to guide our focus and approach.
Design and implement agentic LLM solutions to face modern cybersecurity challenges.
Decompose complex problems scientifically and provide actionable insights and recommendations to both technical and non-technical stakeholders.
Lead and collaborate on end-to-end projects within the team and across engineering and product teams, from initial ideation to final deployment.

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.

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.

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 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.

Were seeking a visionary and technically hands-on AI Team Leader to join Alison.ai and take charge of driving innovation across our core AI systems. As the AI Team Leader, you'll guide the architecture and development of advanced machine learning models that power our video and creative analysis platform.
You will collaborate cross-functionally with product managers, engineering, and business development teams to deliver cutting-edge features that push the boundaries of whats possible in creative performance analysis.
This is a high-impact role for someone who thrives at the intersection of machine learning, product strategy, and creativity.
Key Responsibilities:
Lead the development, deployment, and optimization of machine learning models for video, image, and creative performance analysis.
Architect scalable AI/ML pipelines and infrastructure that support real-time and batch processing of multimedia data.
Guide research and experimentation initiativesidentify new technologies, modeling techniques, and opportunities for innovation.
Mentor and grow a team of machine learning engineers and data scientists as we scale.
Champion AI ethics, fairness, and explainability in our model development and deployment.
Stay ahead of industry trends in generative AI, computer vision, NLP, and Martech innovation, translating insights into competitive advantages.

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.