דרושים » ניהול ביניים » Experienced Data Scientist

We are looking for a Senior Data Scientist with deep expertise in Large Language Models (LLMs), Deep Learning, and Neural Networks to join our Threat Research group, located in our Tel Aviv Office. Our Threat Research group is composed of elite researchers and developers. We research applications, DDoS, and database attacks, develop algorithms for new products, and drive innovation and thought leadership in cybersecurity.
Key Responsibilities :
Serve as the technical lead for projects involving LLMs, deep learning, and neural networks focused on cybersecurity applications.
Design, train, fine-tune, and deliver LLMs and advanced deep learning models for tasks such as anomaly detection, threat classification, and automated analysis of security data.
Drive hands-on research from ideation through prototyping to scalable production systems.
Collaborate with product and engineering teams to integrate advanced AI models into security solutions.
Analyze complex, high-dimensional security data (including text, logs, network traffic, and more) to identify emerging threats and attack patterns.
Mentor and guide other data scientists and contribute to the teams technical growth.
Represent in the AI and security communities through thought leadership, publications, presentations, and patents.

Were looking for a Data scientist Expert to join us and spread our power. As a Data scientist you will be responsible for driving research and development initiatives to advance Artificial Intelligence and technologies. You will work closely with cross-functional teams to explore, innovate, and implement AI-driven solutions to tackle emerging threats, examine cloud security features, and enhance the companys security posture.
WHAT YOULL DO
Lead an applied research for AI-driven features in the 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.

We are looking for a senior DL researcher who is passionate about exploring complex data sets, drawing meaningful insights, and building high-quality real-time data products that complement our robust arsenal of industry-leading technologies.
As a senior DL researcher at our company, you will be creating high-impact Machine Learning projects. In close coordination with stakeholders, you will play a major role in driving the data science roadmap and execution by providing the best solution to a game changer business problem.
Responsibilities
Deliver end-to-end ML products - including research, model development, prototyping, offline validation, implement in production, and online testing
Be a key player in the DS group - providing insights, best practices, novel techniques and research, and technical know-how to other data scientists
Develop ML solutions using advanced DL techniques to a diverse set of problems.
Analyze huge amounts of complex data to identify meaningful patterns and build useful features for machine learning models
Apply the scientific method to design, create, tune, and interpret machine learning models
Perform data manipulation, validation, and cross-domain research
Come up with new and creative research ideas and insights
Collaborate with our product and engineering teams to solve problems and identify trends and opportunities.

We are looking for a passionate, motivated, and innovative Principal Data Scientist, to join our innovation department.
A business unit focused on developing future cutting-edge products.
We explore new market opportunities and applications to build and bring to market industry-leading solutions that deliver new value for customers and fuel the companys expansion.
We operate as an independent unit, enjoying flexibility, numerous opportunities to make a significant impact, and engaging in meaningful and challenging work. Additionally, we have access to resources, which enables rapid progress and reduced risk.
What your day will look like:
Be part of the founding data-science team, implementing new and exciting features, end-to-end, along with the product team, focusing on the algorithmic and machine learning aspects embedded in all our products.
As part of the founding team, you will be able to grow as a data scientist and define the theoretical and technical directions, and you will enjoy a lot of autonomy, responsibility, and ownership.
Apply your scientific knowledge and creativity to analyze large volumes of diverse and unstructured data and develop algorithmic solutions and models to solve complex problems.
Characterize and break down product use-cases effectively, choosing the right formalization and tools to best tackle them.
Research, design and apply advanced data processing technologies and methodologies, from a research playground to production. Contribute best practices to our backend applications and help pick the right frameworks and tooling for our next product.
Work closely with other team members, such as backend developers, product managers and data engineers, across all groups and departments.
Build and promote quick prototypes/POC/demos to conceptualize innovative ideas
Be responsible for the entire algorithmic lifecycle in the company: data analytics, prototyping of new ideas, implementing algorithms and machine-learning models in a production environment and then monitoring and maintaining them.
Turn algorithm prototypes into shippable products that will have a significant and immediate impact on the companys revenue.

we are looking for a Data Scientist to join our R&D team. To become part of our journey in helping digital publishers and businesses improve their business growth, empowering meaningful interactions across their digital assets, generating an undeniable increase in revenue, user engagement, conversions, and overall performance.
Long story short, you will:

Design, build, automate, deploy and maintain machine learning production pipelines, utilizing cloud technologies such as cloud AI / Sagemaker.
Building RAG processes and utilizing LLMs for verius needs.
Deploy and monitor models in production (e.g. building artifacts, measuring model drift, etc.).
Implement and evaluate recommender engines and deep-learning techniques, to work in a production environment and run at massive scale.
Apply complex analytical techniques to derive actionable insights with very good communication skills to write and publish internal documentation to be used by technical and business teams.
Design and execute technical processes needed for experimentation to support an array of business problems, including experiment ideation, experimental design, monitoring, data analysis, code review and communication of results.
Keep up with machine learning research and commercial product offerings across a wide variety of machine learning fields
Role Key Deliverables: Own current recommendation engine modeling stack and its development processes (creation/specification of tasks, daily updates and commitment to deliverables), research and deploy incremental improvements.

We are seeking an experienced Data Scientist with a strong background in AI engineering to join our AI Platform team. This role focuses on developing and fine-tuning advanced machine learning models, including LLMs, to support various product teams across our company. As a member of the AI Platform team, you will collaborate with cross-functional teams to build scalable, efficient, and robust AI solutions that serve diverse business domains.
What am I going to do?
Take leading roles in foundational AI projects across our company: developing and fine-tuning LLMs, building reusable components for generative AI, supporting real-time predictions, and enabling streaming data utilization across online models.
Provide advanced Data Science and AI Engineering solutions end-to-end - from research and prototyping to robust production-grade implementations.
Own the design, training, and evaluation of models tailored for tasks like summarization, classification, semantic matching, personalization, and more.
Drive innovation by exploring new model architectures, training techniques, and fine-tuning strategies aligned with business needs.
Lead and mentor other team members, setting high standards for technical excellence and knowledge sharing.
Continuously identify new opportunities to evolve the platforms capabilities and streamline how AI is built and adopted across our company.

Required Required Principal Data Scientist- Machine Learning (Cortex)
Who We Are:
We take our mission of protecting the digital way of life seriously. We are relentless in protecting our customers and we believe that the unique ideas of every member of our team contributes to our collective success. Our values were crowdsourced by employees and are brought to life through each of us everyday - from disruptive innovation and collaboration, to execution. From showing up for each other with integrity to creating an environment where we all feel included.
As a member of our team, you will be shaping the future of cybersecurity. We work fast, value ongoing learning, and we respect each employee as a unique individual. Knowing we all have different needs, our development and personal wellbeing programs are designed to give you choice in how you are supported. This includes our FLEXBenefits wellbeing spending account with over 1,000 eligible items selected by employees, our mental and financial health resources, and our personalized learning opportunities - just to name a few!
Your Career:
Are you passionate about harnessing cutting-edge data science techniques to protect the world from cyber threats? Do you thrive in the dynamic world of cybersecurity? If so, we invite you to join our innovative and forward-thinking team, where you'll have the opportunity to shape the future of cybersecurity and impact millions of customers.
As a Principal Data Scientist, you will apply your expertise in data analysis, machine learning, and cybersecurity to build new defense techniques against cyber-villains. You will be a driving force in designing and developing groundbreaking, ML-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
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.

we're on a mission to shape the future of the shipping industry through cutting-edge autonomous ship technology. Our solutions empower teams both on the ship and ashore to make informed decisions that dramatically enhance safety, reduce fuel consumption, improve navigation, and minimize environmental impact.

We integrate state-of-the-art technologies like computer vision and augmented reality, ensuring that we create solutions that improve operational efficiency and promote safer, greener shipping practices. we are committed to making a positive difference for both the environment and the people who rely on safe, efficient shipping practices. Join us as we work towards a safer, greener future for the maritime industry.

We are seeking a highly motivated and results-driven Senior Data Scientist to join our expanding data group. You will work directly with our team of data scientists and analysts, leading the research and development of innovative analytics products. Were seeking someone who is not afraid to roll up their sleeves, dive into the data, and deliver impactful solutions.

The ideal candidate will be an experienced analytics leader with a strong hands-on approach. You should be passionate about data and possess a deep understanding of machine learning, statistics, and data science principles. You will thrive in our dynamic environment, taking ownership of driving analytics for our new line of data products and demonstrating a "get-things-done" mentality.

Responsibilities:
Leverage a creative blend of AI techniques, machine learning algorithms, statistical analysis, and business intelligence to build and refine predictive models focused on tabular data. This includes structured datasets such as customer records, transactional data, time-series, and operational logs.
Drive end-to-end data science workflows for tabular data prediction use cases from initial problem scoping and feature engineering to model development, validation, and deployment.
Collaborate closely with dedicated development and product teams to ensure seamless integration and high-quality data science solutions.
Build and continuously optimize scalable ML pipelines and infrastructure specifically tailored for structured data and predictive modeling tasks.
Take initiative in identifying delivery bottlenecks, implement effective monitoring and model performance tracking for tabular predictions, and own the success of data-driven product features from inception through deployment.

We are seeking a Senior Data Scientist to lead high-impact initiatives that drive business growth. As part of a highly data-driven organization, this role tackles some of the business's most complex and strategic challenges. You will apply advanced analytics, machine learning, and statistical modeling to uncover insights, optimize decision-making, and enhance strategies across marketing, customer experience, and operations. In this role, you will develop predictive models to forecast key business metrics and improve segmentation strategies. Additionally, you will refine marketing attribution models and collaborate with stakeholders to translate complex data into actionable recommendations that drive measurable outcomes. With direct influence on business strategy, you will have the opportunity to solve critical problems, drive innovation, and make a lasting impact in a fast-paced e-commerce environment.
We are looking for a curious and creative problem solver who thrives on tackling challenges with data. If you think beyond the obvious, leveraging analytics to uncover opportunities and drive innovation, and you are always learning, staying ahead of industry trends, and pushing the boundaries of what is possible in data science, then this is the opportunity for you.
What Youll Be Doing:
Identify and lead data science initiatives to solve business challenges drive strategic growth and implement advanced predictive models to analyze customer behavior, forecast lifetime value, and identify actionable opportunities
Use statistical and machine learning techniques to optimize marketing, personalize customer experiences, and enhance segmentation frameworks for targeted marketing efforts
Develop attribution models to measure the impact of marketing channels on conversions
Conduct time series modeling to forecast revenue and analyze business trends
Collaborate with cross-functional teams to understand business needs and translate data insights into actionable recommendations
Build scalable solutions for large-scale datasets and ensure models are production-ready
Continuously explore and implement emerging data science techniques and best practices to drive innovation.

We are looking for a talented Lead Data Scientist for our Research and Risk team, a team that is at the core of everything we do. In this role, you will research, develop and improve the machine learning models predicting claims frequency, claims severity and fraud detection. This role focuses on researching advanced modeling techniques, continuous experimentation, and an iterative approach to productizing our learnings. You will work closely with product management, underwriting, actuaries, machine learning engineers and other product/engineering teams.
A day in the life
Use advanced statistics, machine learning, and mathematical approaches to develop highly predictive risk models to enhance pricing, loss prediction, and rate plan optimization
Create POCs to validate new product ideas and experiments to improve existing predictive models
Design data collection strategies and their applications for building new products
Translate business goals into actionable research and ensure the research contributions align with company-wide objectives
Collaborate with engineering and product leads to ensure the successful deployment and scaling of research-driven solutions
Serve as a technical leader and coach for the Data Science team, helping to shape team processes and best practices