Senior data Scientist

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2 ימים

Senior Data Scientist

טאואר סמיקונדקטור

Location: Migdal Haemek

Job Type: Full Time

We are looking for an experienced data Scientist to join our AI team within the Operation Excellence Department and take a leading role in shaping data -driven initiatives across the organization. This position is an individual contributor role with significant ownership and influence - ideal for someone who can independently guide complex AI/ML projects while collaborating closely with cross-functional teams.
You will analyze complex and diverse semiconductor-related datasets, develop predictive and statistical models, and deliver actionable insights that enable data -driven decision-making. The role emphasizes applying advanced ML techniques to extract deep insights, build scalable models, and drive impact in innovative and cutting-edge projects.

Requirements:
Bachelors degree in data Engineering, Statistics, Mathematics, Computer Science, or a related technical field.
Masters degree in a relevant field advantage.
5+ years of hands-on experience as a data Scientist (experience in semiconductor or manufacturing environments strong advantage).
Proven experience developing and implementing ML, Deep Learning, and LLM-based algorithms.
Strong programming skills in Python and experience working with relational databases.
Deep understanding of development processes and best practices in the LLM domain.
Experience building and deploying Deep Learning models using PyTorch advantage.
Experience developing Multi-Agent Systems advantage.
Strong communication and leadership abilities; able to lead complex technical programs while operating as an individual contributor.

This position is open to all candidates.

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31/12/2025

Senior Data Scientist

חברה חסויה

Location: Ness Ziona

Job Type: Full Time

We are looking for a Senior Data Scientist to join the data science group. Youll have the opportunity to make a significant impact by creating products that are used by millions of users around the world.
Our Data Science group is responsible for developing and implementing data-driven models, conducting research to evaluate new data science methodologies, and analyzing large datasets to extract actionable insights.
The individual will collaborate with cross-functional teams to ensure actual impact on our users and business outcomes.
Responsibilities:
Machine Learning: Design, Research, analyze, develop, and implement predictive models, from inception to production, in addition to MLOps infra for various of machine learning techniques to address complex business problems.
Code review to peers, maintain code quality, unit testing, E2E testing, ML models monitoring, maintainability and scalability
Collaboration: Work closely with cross-functional teams including Devops, Back End, and Mobile teams to define project goals and deliver data-science projects into production.
Stay updated with the latest research and advancements in AI.
Reporting: Create clear, concise, and actionable reports to communicate insights to stakeholders.

Requirements:
5+ years of professional experience in Data Science - research, data analysis and implementation of predictive models
Experience with Machine Learning: Proven track record in productization of ML models
Proficiency in Python: Strong coding skills with a focus on writing efficient and scalable ML code
Production Experience: Demonstrated ability to deploy ML models in production, ensuring reliability, scalability, and real-time processing
Technologies: In particular AWS, Airflow and Software container technology - Docker, Kubernetes
B.Sc/M.Sc in a scientific field - Computer Science, Software Engineering, Data Science
Initiator and Promoter: Self-starter who actively proposes new ideas and promotes innovative solutions
Learner: Passion for continuous learning, staying updated on the latest SW and ML trends, tools, and research
Flexible Mindset: Adaptability in approaching problems and adjusting models or strategies as needed.

This position is open to all candidates.

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12/01/2026

Senior Data Scientist

חברה חסויה

Location: Herzliya

Job Type: Full Time

We are looking for an experienced Senior Data Scientist to join our rapidly growing data science team, focusing on creating ML-driven 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. You will be working closely with other data scientists, data engineers, product managers and domain experts to improve our automotive purpose-built data management platform, focusing on vehicle quality, cybersecurity and API security use cases.
As a Senior Data Scientist, youll play a pivotal role in driving innovation and shaping the future of ML-based solutions in automotive quality and cyber security. Youll work on challenging datasets, develop advanced models, and see your work integrated into impactful, real-world applications.
Your work will directly enhance the safety and quality of advanced automotive systems and cybersecurity solutions. We prioritize talent development, offering you opportunities to learn, innovate, and grow in a collaborative environment.
This role is full-time and is Herzliya, Israel based.
Responsibilities
Conduct in-depth research on large and diverse automotive live streaming tabular datasets, preprocess the data, as well as extract and present key insights
Search and craft indicative features that will enhance the value of ML models
Explore, design and deploy cutting-edge ML 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 our data engineering and development teams to devise innovative solutions for productization
Encourage collaboration and knowledge-sharing within the data science team.

Requirements:
6+ years of relevant industry experience in data science or machine learning
Education: MSc in Math / EE / CS / Statistics OR BSc in one of the disciplines above and 10+ years of substantial, hands-on experience in data science or a closely related domain - demonstrating expertise equivalent to that typically acquired through formal advanced education
Demonstrated research expertise in the tech industry or published academic papers
Profound understanding and hands-on expertise in mathematics, statistics, machine/deep learning, and data mining
Expertise in data science pipelines is essential, including data cleansing, feature engineering, and model tuning
Strong coding and software engineering experience focusing on advanced proficiency in Python, especially in data science libraries such as Pandas, Polars, NumPy, SciPy, Scikit-learn, and others
End-to-end experience in leading the development of AI/DS/ML products or features, including managing their deployment in production environments, whether through direct integration or by using existing APIs
Demonstrated experience in working streaming data (including sequential/time series) and implementing corresponding algorithms/models in a production environment, whether in batch processing or real-time scenarios
Solid experience in deep learning, utilizing platforms such as TensorFlow, Keras, PyTorch, etc.
Proficiency in SQL
Strong communication skills, with the ability to convey ideas and share knowledge effectively
Independent and quick learner, capable of developing independently
A valuable team player who cooperates well
Experience thriving in a dynamic work environment.

This position is open to all candidates.

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6 ימים

Senior staff AI scientist, FILM Team

חברה חסויה

Location: Petah Tikva

Job Type: Full Time

We are seeking a visionary and hands-on AI Scientist to help shape the next generation of foundational language models and agentic systems that empower small and medium-sized businesses (SMBs) to thrive. In this role, you will play a key part in defining, designing, and building groundbreaking AI solutions that understand, reason, and act across complex financial and business contexts.
You will collaborate closely with cross-functional experts in 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.
The ideal candidate is a builder-scientist-a creative thinker who not only develops novel model architectures and training paradigms but also drives their implementation and validation in real-world applications. Youll have the opportunity to shape the AI foundation that powers transformative products serving millions of customers.
Responsibilities:
Design and develop foundational language models and agentic architectures that power intelligent decision-making for small and medium businesses.
Explore novel approaches in large-scale pretraining, fine-tuning, retrieval-augmented generation, and reasoning to improve factuality, adaptability, and alignment.
Build intelligent agents capable of understanding financial data, customer context, and business workflows - from bookkeeping and planning to communication and insights generation.
Collaborate with cross-functional teams across AI research, engineering, product, and design to translate breakthrough science into scalable products used by millions.
Define technical strategy and roadmap for next-generation agentic systems, driving innovation and excellence across the organization.
Publish and present research findings, internal innovations, or contributions to open-source frameworks where appropriate.

Requirements:
Ph.D. or Masters degree in Computer Science, Machine Learning, AI, or a related field.
Proven experience with LLMs, multimodal or foundation models, including pretraining, fine-tuning, and deployment.
Strong proficiency in Python and modern ML frameworks (e.g., PyTorch, JAX, or TensorFlow).
Deep understanding of transformer architectures, reinforcement learning, reasoning models, and agentic systems.
Demonstrated ability to build end-to-end AI pipelines, from experimentation to production.
Excellent problem-solving, collaboration, and communication skills.
A passion for creating AI that augments human potential and simplifies complex business workflows.

This position is open to all candidates.

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13/01/2026

Senior Data Scientist

חברה חסויה

Location: Tel Aviv-Yafo

Job Type: Full Time

we are seeking a Senior Data Scientist to drive the development and implementation of AI-based solutions that solve complex business challenges across our innovative SaaS platform. In this key role, youll work cross-functionally to lead end-to-end AI projects-from data exploration to deployment-helping shape the future of our intelligent products and user experiences.
If youre passionate about machine learning, LLMs, and real-world impact, and thrive in a collaborative, high-velocity environment, wed love to connect.
What You Will Do:
Identify AI opportunities to enhance product experiences and operational efficiency.
Collect, analyze, and model diverse financial datasets to develop actionable AI Products.
Own the full AI solution lifecycle-from problem definition to research, modeling, and hands-on implementation.
Break down complex problems into well-defined, structured work plans.
Collaborate closely with developers, product managers, and other stakeholders to integrate AI solutions seamlessly into products.
Stay up to date with AI, ML, and LLM trends, translating them into practical applications.
Provide technical leadership and mentorship to junior data scientists while balancing immediate delivery with long-term innovation.

Requirements:
Education & Experience:
Bachelor's degree in Computer Science, Engineering, or a related STEM field; Masters in a data science-related field is a plus.
6+ years in a data science role, ideally within a SaaS or tech-driven company.
Proven experience leading and delivering AI-based solutions to key business problems
Technical Skills:
Strong skills in data manipulation, visualization, and statistical analysis.
Proficiency with Python and the Python data stack.
Experience with ML frameworks: scikit-learn, XGBoost, PyTorch, TensorFlow.
Advanced SQL and experience working with large datasets.
Experience with LLMs and tools like LangChain, LlamaIndex.
Understanding of backend development architecture patterns - an advantage.
Experience working with big data - a plus.
Soft Skills:
Strong analytical thinking and independent problem-solving skills.
Excellent communication and collaboration abilities (Hebrew & English).
Self-driven with a high sense of ownership and motivation to deliver impactful solutions.
Creative, critical thinker and continuous learner.
Strong interpersonal skills with a proven ability to mentor and technically lead others.

This position is open to all candidates.

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8499626

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13/01/2026

Senior Data Scientist

חברה חסויה

Location: Petah Tikva

Job Type: Full Time

We are seeking a Senior Data Scientist to be one of the first data science hires for our newly formed ML team. This is a unique ground-floor opportunity to build our data science capabilities from scratch and have direct influence on our analytical and modeling approaches. This role combines advanced data science expertise with foundational contributions, requiring someone who can develop sophisticated models, conduct deep analytical research, and help establish the data science methodologies that will guide the team as we scale. As one of our founding data scientists, you'll work closely with our Tech Lead to shape our modeling approaches, define our analytical standards, and build the fundamental data science skill set for future hires.
What You'll Do:Empty heading
Build foundational data science capabilities: As one of our first data science hires, work with the Tech Lead to develop core modeling methodologies, analytical frameworks, and research practices
End-to-end model development: Take ownership of complete ML model lifecycle - from initial research and experimentation through production deployment and monitoring
Build impactful models: Design, develop, and deploy machine learning models that solve complex business problems across payments, risk, and customer analytics
Define analytical standards: Help establish best practices for data exploration, feature engineering, model validation, and statistical analysis
Conduct deep research: Lead exploratory data analysis and research initiatives to uncover insights and identify ML opportunities across the business
Partner with stakeholders: Work closely with business teams to understand requirements, translate problems into data science solutions, and communicate findings effectively
Establish model development practices: Help set up our approach to model experimentation, A/B testing, and performance monitoring
Shape data science culture: Contribute to establishing the team's analytical rigor, documentation standards, and knowledge-sharing practices
Drive innovation: Research and evaluate new ML techniques, algorithms, and approaches that could benefit our business use cases.

Requirements:
5+ years of experience in Machine Learning, Data Science, or related technical roles
Excited about building something new and comfortable with the ambiguity of a startup-like environment within a larger company
Proven track record of building and deploying machine learning models in production environments
Strong proficiency in ML frameworks (TensorFlow, PyTorch, Scikit-learn) and programming languages (Python, SQL)
Experience with cloud platforms (AWS, GCP, Azure) and MLOps tools and practices
Excellent communication skills with ability to explain technical concepts to stakeholders and influence technical decisions
Comfortable taking ownership, making decisions, and driving initiatives independently
Bachelor's or Master's degree in Computer Science, AI, Data Science, Mathematics, or related quantitative field
Experience in fintech or financial services is a plus.

This position is open to all candidates.

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23/12/2025

Senior Data Scientist

חברה חסויה

Location: Tel Aviv-Yafo

Job Type: Full Time

we are looking for a Senior Data Scientist.
As an Applied Researcher, you will play a central role in advancing our AI capabilities -fine-tuning and optimizing large language models to extract legal insights and power intelligent decision-making at scale. Youll explore new model architectures, training paradigms, and evaluation methods to push research from experimentation to impactful, production-ready innovation.
Youll collaborate closely with data scientists, engineers, and domain experts to design and validate research prototypes, integrating cutting-edge methods such as model distillation, retrieval-augmented generation (RAG), and knowledge-graphbased reasoning.
Responsibilities:
Design and evaluate new model architectures, training objectives, and loss functions that enhance generalization and domain adaptation.
Research and innovate in areas such as model compression, knowledge distillation, and retrieval-augmented generation (RAG) to improve inference efficiency and interpretability.
Publish and present innovative findings internally and externally to advance the organizations leadership in applied AI research.
Collaborate cross-functionally with engineering, product, and data science teams to transition research prototypes into scalable production systems
Drive measurable impact by translating research innovations into deployable solutions that improve model performance, scalability, and user outcomes.
Contribute to the research community through publications, open-source contributions, or collaborations, showcasing thought leadership in LLM fine-tuning and applied AI innovation.

Requirements:
M.Sc. in Computer Science, Data Science, Artificial Intelligence, Machine Learning, or a related field.
5+ years of experience in applied AI research.
Strong programming skills, particularly in Python and ML frameworks (e.g., TensorFlow, PyTorch).
Solid understanding of NLP.
Experience with modern Large Language Models (LLM) and generative models.
Proven expertise in designing, implementing, and evaluating deep learning models in a production environment.
Excellent communication, mentoring, and collaboration skills.
A strong problem-solving mentality and a proactive demeanor, driven by the ambition to deliver solutions with real-world impact
Advantages:
Prior experience leading or working within cross-functional teams that include data scientists, operations research specialists, and software engineers.
Passion for learning and stay informed with State of the Art progress

This position is open to all candidates.

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11/01/2026

Senior Data Scientist

חברה חסויה

Location: Tel Aviv-Yafo

Job Type: Full Time

Required Senior Data Scientist
About the role:
As a Senior Data Scientist you will join our multidisciplinary AI team, composed of data scientists, data analysts and data engineers. This team is responsible for our strategic AI-enabled components dealing with classical and advanced audio signal processing, deep learning techniques, NLP and machine learning.
You will report to the Head of AI and work closely with Product, Business and R&D teams to support across-the-board decision making to execute company business goals.
Responsibilities:
Be an expert in your domain, drive execution and quality, guide, mentor and collaborate with your team members.
Be passionate and tech-savvy in data and data science domains with the ability to provide business context and shape data and data pipelines directions.
Ability to lead research and find solutions for complex problems.
Taking ownership and being responsible for leading the end-to-end delivery; starting from innovation, experimentation, and development and ending with deployment to production.
Build culture, trust, and working relationships that enable your team to influence product roadmaps that are driven by customer data.
Partner and collaborate with product, business data taggers, engineering, and other stakeholders to understand the business to shape our data strategy and AI roadmap and correlate it with business needs.
Lead continuous improvements in process and tools to drive quality and decision-making. Automate manual processing, CI/CD, MLOps, optimizing data delivery, re-designing infrastructure for better scalability.
Monitoring models performance in production, continuously working on methods to improve quality and performance.

Requirements:
At least 6 years of experience as Data Scientist (Deep-learning) in a tech company
Experience and strong knowledge in Machine-Learning & Deep Learning - Must
Hands-on experience in taking ML/DL models from inception to production
Strong programming skills in Python and deep learning frameworks (TensorFlow, PyTorch)
A scientific degree in relevant fields: EE, CS, Mathematics, Statistics, or similar (MSc. or PhD. advantage)
Experience working with management, business leads, developers, and marketing teams to successfully meet deadlines in a fast-paced, rapidly changing environment
Experience in Data processes (mandatory) and best practices in a data pipelines (advantage)
Skilled at writing production-grade Python code
Last but not least - People and communication skills.

This position is open to all candidates.

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12/01/2026

Senior Data Scientist

חברה חסויה

Location: Tel Aviv-Yafo

Job Type: Full Time

As a Senior Data Scientist, youll play a vital role in turning algorithm prototypes into shippable products that will have a significant and immediate impact on the companys revenue
How youll make an impact:
As a Senior Data Scientist, youll bring value by:
Be responsible for the entire algorithmic lifecycle in the company: data analytics, prototyping of new ideas, implementing algorithms 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
Work on a daily basis with some of the hottest trends in todays job market: machine/deep learning, big data analytics/engineering and cloud computing
Apply your scientific knowledge and creativity to analyze large volumes of diverse data and develop algorithmic solutions and models to solve complex problems
Influence directly on the way billions of people discover the internet
Work on projects such as Internet Personalization, Content Feed, Real Time Bidding, Video Recommendations and much more.

Requirements:
M.Sc. or PhD. in Computer Science, Mathematics, Engineering or a related field
Strong knowledge in Python
Good knowledge in Java, Scala or C++
Familiarity with statistical modeling techniques
5+ years of hands on experience with coding machine learning/statistical modeling based solutions
Experience in data analysis and visualization and strong knowledge in SQL
Possess strong problem solving and critical thinking skills
Bonus points if you have:
Experience in developing models using deep learning techniques and tools
Experience in developing software within a distributed computation framework.

This position is open to all candidates.

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8498372

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12/01/2026

Senior Data Engineer I - GenAI Foundation Models

חברה חסויה

Location: Tel Aviv-Yafo

Job Type: Full Time

Required Senior Data Engineer I - GenAI Foundation Models
21679
The Content Intelligence team is at the forefront of Generative AI innovation, driving solutions for travel-related chatbots, text generation and summarization applications, Q&A systems, and free-text search. Beyond this, the team is building a cutting-edge platform that processes millions of images and textual inputs daily, enriching them with ML capabilities. These enriched datasets power downstream applications, helping personalize the customer experience-for example, selecting and displaying the most relevant images and reviews as customers plan and book their next vacation.
Role Description:
As a Senior Data Engineer, youll collaborate with top-notch engineers and data scientists to elevate our platform to the next level and deliver exceptional user experiences. Your primary focus will be on the data engineering aspects-ensuring the seamless flow of high-quality, relevant data to train and optimize content models, including GenAI foundation models, supervised fine-tuning, and more.
Youll work closely with teams across the company to ensure the availability of high-quality data from ML platforms, powering decisions across all departments. With access to petabytes of data through MySQL, Snowflake, Cassandra, S3, and other platforms, your challenge will be to ensure that this data is applied even more effectively to support business decisions, train and monitor ML models and improve our products.
Key Job Responsibilities and Duties:
Rapidly developing next-generation scalable, flexible, and high-performance data pipelines.
Dealing with massive textual sources to train GenAI foundation models.
Solving issues with data and data pipelines, prioritizing based on customer impact.
End-to-end ownership of data quality in our core datasets and data pipelines.
Experimenting with new tools and technologies to meet business requirements regarding performance, scaling, and data quality.
Providing tools that improve Data Quality company-wide, specifically for ML scientists.
Providing self-organizing tools that help the analytics community discover data, assess quality, explore usage, and find peers with relevant expertise.
Acting as an intermediary for problems, with both technical and non-technical audiences.
Promote and drive impactful and innovative engineering solutions
Technical, behavioral and interpersonal competence advancement via on-the-job opportunities, experimental projects, hackathons, conferences, and active community participation
Collaborate with multidisciplinary teams: Collaborate with product managers, data scientists, and analysts to understand business requirements and translate them into machine learning solutions. Provide technical guidance and mentorship to junior team members.

דרישות:
Bachelors or masters degree in computer science, Engineering, Statistics, or a related field.
Minimum of 6 years of experience as a Data Engineer or a similar role, with a consistent record of successfully delivering ML/Data solutions.
You have built production data pipelines in the cloud, setting up data-lake and server-less solutions; ‌ you have hands-on experience with schema design and data modeling and working with ML scientists and ML engineers to provide production level ML solutions.
You have experience designing systems E2E and knowledge of basic concepts (lb, db, caching, NoSQL, etc)
Strong programming skills in languages such as Python and Java.
Experience with big data processing frameworks such, Pyspark, Apache Flink, Snowflake or similar frameworks.
Demonstrable experience with MySQL, Cassandra, DynamoDB or similar relational/NoSQL database systems.
Experience with Data Warehousing and ETL/ELT pipelines
Experience in data processing for large-scale language models like GPT, BERT, or similar architectures - an advantage.
Proficiency in data manipulation, analysis, and visualization using tools like NumPy, pandas, and המשרה מיועדת לנשים ולגברים כאחד.

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