לוח משרות דרושים Senior Data Scientist משרה מלאה, לחיפוש זה נמצאו 42 משרות

we are looking for an experienced Senior Data Scientist to join our rapidly growing data science team, focusing on creating prediction and anomaly detection models. As a Senior Data Scientist, you will lead the analysis of large (often massive) datasets, develop models and algorithms to meet customer needs, and work closely with other data scientists and data engineers to improve our automotive purpose-built data management platform, focusing on cybersecurity, API security, and vehicle quality use cases.
This role is full-time and is Herzliya, Israel based.
Responsibilities:
Conduct in-depth research on large and diverse automotive live streaming tabular datasets
Explore, design and deploy cutting-edge models or algorithms solutions for prediction purposes and anomaly detection
Collaborate closely with domain experts and peers to research and implement models and algorithm flows that best fit requirements
Partner with the data engineering and development teams to devise innovative solutions for productization
Encourage collaboration and knowledge-sharing within the data science team

every nation has data. few can protect it. fewer still can act on it.
the company is the sovereign ai and national cyber-defense company for governments.
we help nations secure their most critical systems, connect fragmented information at a national scale, and turn their most sensitive data into decisions, all fully sovereign.
this is more than a job. it's a role at the company, where you'll work at a global scale alongside some of the best ai researchers, cyber operators, and government experts in the world.
we're building ai that nations own and control, deployed where almost no one else can operate. ingesting and structuring complex data, and driving practical actions that can literally impact the lives of billions of people around the world. this role helps make that real.
join a team of exceptional researchers building sovereign ai at the frontier. you will shape how our systems interpret visual information and turn it into actionable knowledge. you will research and build capabilities spanning visual understanding, ocr, image retrieval, and semantic search, alongside scene reconstruction and geolocation (slam). that means understanding both model behavior and real-world failure modes, and delivering under security, compute, and deployment constraints. expect scarce data, noisy labels, and problems with no established playbook. you get the autonomy to choose the approach and the responsibility to make it work.
develop computer vision capabilities across visual understanding, detection, segmentation, and ocr, adapting methods to complex real-world data.
advance image retrieval, semantic search, and multimodal representations that link visual content with language and context.
research scene reconstruction and geolocation, defining both the approach and the evaluation criteria for demanding visual tasks.
design data mixtures and training strategies; run and debug experiments to improve quality, stability, and efficiency.
own the problem end to end - definition, data, experimentation, and validation - stress-testing robustness and failure modes, and partner with engineering through deployment.
raise risks early, challenge ideas with respect, take on the hardest problems, and mentor fellow researchers.

every nation has data. few can protect it. fewer still can act on it.
the company is the sovereign ai and national cyber-defense company for governments.
we help nations secure their most critical systems, connect fragmented information at a national scale, and turn their most sensitive data into decisions, all fully sovereign.
this is more than a job. it's a role at the company, where you'll work at a global scale alongside some of the best ai researchers, cyber operators, and government experts in the world.
we're building ai that nations own and control, deployed where almost no one else can operate. ingesting and structuring complex data, and driving practical actions that can literally impact the lives of billions of people around the world. this role helps make that real.
were looking for an experienced, hands-on researcher to shape how our sovereign ai systems retrieve information and act in complex environments.
youll research and develop agentic capabilities, from orchestrating models and tools to enabling deep research, retrieval, and information enrichment. this means understanding the whole system : how its components interact, where they fail, and how to improve their combined performance under real-world security, compute, and deployment constraints.
shape agentic system design; develop orchestration, planning, and tool-use methods that turn complex requests into reliable workflows.
push the frontier of agentic ai and NLP : deep research, retrieval, and information extraction and enrichment, improved through execution traces, user feedback, and fine-tuning.
build benchmarks, simulators, and evaluation suites that combine annotation workflows and adversarial testing to expose failure modes and measure real progress.
own the problem end to end - definition, data, experimentation, and validation - and partner with engineering through deployment.
raise risks early, challenge ideas with respect, take on the hardest problems, and mentor fellow researchers.

realize your potential by joining the leading performance-driven advertising company!
as an Algorithm engineer on the algorithms team in our tel aviv office, youll play a vital role in building Machine Learning models that power Real-Time bidding and optimize billions of daily auctions. youll design and evolve large-scale ml solutions that drive bid optimization, price prediction, win-rate prediction, and auction strategy. working at the intersection of Machine Learning, data, and engineering, youll take models from research and experimentation through production, creating solutions that directly impact advertiser performance, publisher revenue, and marketplace efficiency.
how you'll make an impact:
design, train, and deploy Machine Learning models for bid optimization, price prediction, win-rate prediction, ctr/cvr estimation, calibration, and auction optimization.
own the full Machine Learning lifecycle, from research and prototyping through production deployment, a/b testing, monitoring, and optimization.
build and evolve large-scale ml models serving low-latency, high-throughput production traffic.
analyze auction and marketplace data to identify modeling opportunities and translate insights into measurable business impact.
partner with product, engineering, and business teams to translate marketplace goals into scalable Machine Learning solutions.
mentor junior engineers and contribute to technical design reviews, code reviews, and deep technical investigations.
why the company?
if you ask employees what they love about working here, theyll tell you that theyve been empowered to realize their full potential while growing and learning from and with smart and talented people. theyll also share more about:
adam singolda, the company founder and ceo: you can copy anything from another business but you cant copy a companys culture.
well-being: competitive benefits and well-being programs tailored to the region, including comprehensive health benefits, a fully stocked kitchen, and location-specific perks.
flexibility: we offer a hybrid work schedule with 3 days in-office, with an option to come in more often if desired.
work with some of the biggest names: our publisher partners include yahoo, conde nast, fox sports, nbcu, espn, cbs, and e! online. our advertiser clients include wells fargo, honda, pinterest, and expedia.
ready to realize your potential?
the company is an equal opportunity employer and we value diversity in all forms. we are committed to creating an inclusive environment for all employees and believe such an environment is critical for success. employment is decided on the basis of qualifications, merit, and business need.
about the company:the company empowers businesses to grow through performance advertising technology that goes beyond search and social and deliver

we are a cutting-edge technology company that specializes in mobile attribution and marketing analytics.
we run at a massive scale- t any given moment thousands of servers are consuming 150+ billion mobile app events, crunching our users data, serving requests and communicating on a massive scale.
fueled by the company platform, protect360 is the leading anti-fraud solution in the market, protecting advertisers from fraudulent traffic and saving millions of dollars for our customers.
we detect fraudulent traffic (fake installs and attribution hijacking attempts) in real time using Machine Learning, deep learning, and advanced ai techniques applied on massive data streams.
were looking for a data Scientist to join our team and further improve fraud detection capabilities.
this position involves analyzing evolving fraud patterns, developing and deploying advanced prevention components, and leveraging domain expertise, data tools, and modern ai methods to stay ahead of emerging threats.
a partial list of our tech stack: Python (and its related scientific stack), spark, tensorflow/pytorch, kafka, aws services, airflow, scala, bigquery, and more
what you'll do
mine massive data sets to uncover fraud patterns and prevention opportunities.
develop and productionize large-scale ml, DL, and ai models to detect and prevent fraudulent activity.
translate business and product needs into scientific, explainable, and high-impact solutions.
design and maintain end-to-end ml pipelines - from data ingestion and feature engineering to serving and monitoring in production.
collaborate closely with product, engineering, and business teams to drive data -driven decisions.
stay current with ai and ml research and evaluate new technologies to strengthen protect360s algorithms.

As a Senior Staff Data Scientist at our company, youll join a team shaping the future of identity security and pioneering research in areas of cybersecurity and Agentic AI. Advance your data science career by applying your established expertise to solve complex, real-world problems at scale and drive innovation alongside leaders in the cybersecurity and AI space.
Research, design, Evaluate and production deployment of advanced AI/ML models, specializing in LLMs, RAG systems, and Agentic AI applications.
Explore and analyze large-scale datasets to uncover patterns and drive actionable insights.
Collaborate closely with product managers, engineers, and analysts to support feature development and validate ML ideas.
Stay up to date with the latest academic and industry trends in AI/ML and apply best practices to real-world challenges.
Grow your skills in classic machine learning, deep learning, natural language processing (NLP), LLMs and cybersecurity applications.

We are seeking a highly skilled and motivated Senior Data Scientist to join our talented team. As a Senior Data Scientist, you will play a key role in developing and optimizing our machine learning and LLM capabilities.
You will work closely with software engineers, data scientists, security researchers, and product management to design, develop, evaluate, and deploy machine learning models and state-of-the-art LLM-based features that address complex cybersecurity challenges.
Responsibilities:
Analyze large, complex datasets to identify patterns and trends that could indicate potential security threats.
Collaborate with cybersecurity researchers to understand emerging threats and develop solutions that leverage advanced machine learning and data analytics.
Design, develop, and evaluate ML and LLM-based solutions, including classification, NLP, and security-focused models, from experimentation through production.
Develop and optimize LLM techniques including prompting, retrieval, embeddings, RAG, and fine-tuning where appropriate.
Design robust evaluation methodologies and experiments for classification and LLM-based systems, using appropriate metrics to measure model quality, accuracy, and performance.
Stay up to date with advancements in machine learning, NLP, LLMs, and related technologies, and evaluate their applicability to real-world cybersecurity problems.
Collaborate with software and data engineers to integrate ML and LLM solutions into scalable production systems.
Take ownership of complex data science problems, from problem definition and research through implementation and evaluation.

We are looking for a Senior Data Scientist / Applied AI Researcher with deep expertise in NLP and LLM-based systems, and the ability to operate across the full lifecycle, from problem formulation and research design to production deployment and real-world iteration.
You wont be working on isolated experiments. Youll be part of a multidisciplinary team that owns the system end-to-end and is responsible for how it behaves under real production traffic.
This role requires strong scientific discipline and the maturity to balance innovation with practical constraints.
What youll do:
End-to-End Ownership: Lead AI security solutions from problem formulation and research design through model development, evaluation, and production deployment. Ensure solutions are measurable, reliable, and effective under real-world traffic.
Drive Technical Direction: Take responsibility for ambiguous AI security problems, propose thoughtful approaches, and drive structured experimentation and deep model analysis.
Build for Scale: Design systems that are not only accurate, but scalable, efficient, and robust.
Staying Updated: Continuously explore advances in NLP and LLM-based systems, and critically assess what is worth integrating into a production environment.

we are looking for a Staff Data Scientist.
The Data Science department powers core engine by building production-grade algorithmic solutions at immense scale. As a Staff Data Scientist on the Identity team, you will drive the innovation roadmap for our Identity Graph Engine. You will architect, research, and deploy state-of-the-art machine learning models - spanning graph neural networks, transformers, and deep tabular architectures - to solve complex entity resolution and fraud prevention challenges at scale.
What You'll Be Doing:
Drive Identity Graph Innovation: Architect and advance the next generation of our Identity Graph Engine using state-of-the-art graph models, transformers, and machine learning techniques.
Technical Leadership: Define the research roadmap for identity resolution, setting technical standards and guiding complex research projects from initial concept to high-throughput production systems.
Large-Scale Modeling: Build scalable predictive and representation-learning models over massive tabular, sequence, and graph-structured datasets.
Cross-Functional Architecture: Collaborate closely with Data Engineering, Core Software, and Product teams to seamlessly integrate complex ML pipelines into real-time production environments.
Mentorship & SOTA Research: Benchmark and import cutting-edge academic research into practical business solutions while mentoring senior data scientists on modern modeling paradigms.

We are seeking a visionary and hands-on Staff AI Scientist to help shape the next generation of foundational language models and agentic systems that empower small and medium-sized businesses to thrive. In this role you will define, design, and build groundbreaking AI solutions that understand, reason, and act across complex financial and business contexts.

You will collaborate closely with cross-functional experts across AI research, data science, engineering, and product to create intelligent agents that help SMBs automate financial tasks, make smarter decisions, and operate more efficiently. Your work will combine scientific rigor with visionary execution, balancing theoretical innovation with large-scale practical impact.

As a Staff Scientist you set technical direction beyond your own projects. You are a builder-scientist - a creative thinker who develops novel model architectures and training paradigms and also drives their implementation and validation in real-world applications - and you raise the scientific bar for the teams around you. You will help shape the AI foundation that powers transformative products serving millions of customers.


Responsibilities

Set technical direction. Define the technical strategy and roadmap for next-generation agentic and foundation-model systems, and drive innovation and scientific excellence across the organization.

Build foundational models and agents. Design and develop foundational language models and agentic architectures that power intelligent decision-making for small and medium businesses.

Advance the science. Explore novel approaches in large-scale pretraining, fine-tuning (SFT and RLFT/GRPO), retrieval-augmented generation, and reasoning to improve factuality, adaptability, and alignment.

Solve real financial work. Build intelligent agents that understand financial data, customer context, and business workflows - from bookkeeping and autonomous accounting to planning, communication, and insight generation.

Leverage Intuits data moat. Turn Intuits unique ecosystem signals - counterparty behavior, two-sided transaction visibility, and business twins - into defensible modeling advantages.

Ship end-to-end. Take work from experimentation to production, owning evaluation frameworks and metrics that prove real-world impact.

Elevate others. Mentor scientists and engineers, review technical designs, and grow the craft of the wider team - a core expectation at the Staff level.

Collaborate across functions. Partner with AI research, engineering, product, and design to translate breakthrough science into scalable products used by millions.

Share knowledge. Publish and present research findings, internal innovations, or contributions to open-source frameworks where appropriate.

As a Senior Data Scientist , you will be an integral part of our Machine Learning and AI team. The role is hands-on and impact-driven, focusing on building, improving, and delivering machine learning models that directly support business goals.

Responsibilities
Design and deploy production ML systems that drive automated business decisions (pricing, bidding, resource allocation)
Build end-to-end ML pipelines - from data ingestion and model training to serving, monitoring, and incident response
Translate ambiguous business problems into rigorous mathematical frameworks and own them from conception to production impact
Conduct rigorous experimentation (A/B testing, causal inference, uplift modeling) to measure and improve model performance
Maintain and improve real-time models that adapt to incoming data and feedback signals
Mentor junior team members on ML best practices and production standards

Required Staff Data Scientist
Job Description
As a Staff Data Scientist, youll play a highly embedded and influential role within our Data Science organisation, partnering closely with Development and Product teams across multiple products within ITOM. Rather than simply responding to predefined requirements, youll bring your own creativity, domain expertise, and ideas to identify opportunities, challenge assumptions, and solve complex problems using real customer data.
What you get to do in this role:
Lead the development and evolution of advanced data science and machine learning capabilities, including noise reduction, anomaly detection, root cause analysis, and new AI-powered product features.
Own complex data science problems end-to-end, from problem definition and ideation through experimentation, model development, evaluation, productionization, and deployment.
Develop advanced algorithms and models using techniques such as machine learning, deep learning, NLP, anomaly detection, and statistical modeling.
Partner closely with Product, Engineering, Quality, and Architects to translate product requirements into scalable, reliable ML solutions.
Drive technical direction and mentor other data scientists, contributing to best practices in modeling, experimentation, evaluation, and ML engineering.
Stay current with advances in AI/ML and identify opportunities to apply emerging technologies to our products.