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Location: Tel Aviv-Yafo
Job Type: Full Time
Required Data Scientist, Product Analytics
As a Data Scientist, 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 us, 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 Meta. 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.
Requirements:
Minimum Qualifications
Bachelor's degree in Mathematics, Statistics, a relevant technical field, or equivalent
6+ years of experience with data querying languages (e.g. SQL), scripting languages (e.g. Python), and/or statistical/mathematical software (e.g. R)
6+ years of experience solving analytical problems using quantitative approaches, understanding ecosystems, user behaviors & long-term product trends, and leading data-driven projects from definition to execution [including defining metrics, experiment, design, communicating actionable insights]
Preferred Qualifications
Master's or Ph.D. Degree in a quantitative field.
This position is open to all candidates.
 
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חברה חסויה
Location: Tel Aviv-Yafo
Job Type: Full Time
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.
Requirements:
M.Sc./PhD in a relevant field with strong quantitative skills.
5+ years of hands-on experience as a Data Scientist in an innovative and fast-paced environment.
Strong analytical mindset with a deep understanding of data limitations, sampling, frequency, manipulation, and cleaning techniques.
3+ years of practical experience with the Python data science toolbox
Experience working with large datasets and familiarity with the Big Data ecosystem
Proven track record of delivering data-driven solutions achieving measurable outputs.
Excellent communication and interpersonal skills, with the ability to collaborate effectively within a team.
Self-starter with a "get-things-done" attitude and a proactive approach to problem-solving.
Continuous learner who is passionate about staying up-to-date with the latest data science trends and technologies.
Additional Nice to Have:
Strong data visualization and presentation skills.
Experience working in cloud-based environments.
Maritime background and passion
This position is open to all candidates.
 
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חברה חסויה
Location: Tel Aviv-Yafo
Job Type: Full Time
The Data Science team at a global leader in digital personalization, is seeking a forward-thinking Data Scientist to help redefine customer experiences through data-driven innovation. This is a unique opportunity to join a passionate team committed to pushing the boundaries of AI, personalization, and customer intelligence. The ideal candidate is analytical, creative, and deeply curioussomeone who thrives in a culture of experimentation and is excited to explore the potential of generative AI and large language models (LLMs) to solve real-world challenges.
Role
In this dynamic role, you will:
Partner with Product, Engineering, and Customer Success teams to identify opportunities where data science can drive meaningful impact.
Design, develop, and deploy models that optimize user experiences and business performance, especially in the context of personalization and recommendation systems.
Leverage LLMs and generative AI to conceptualize and prototype cutting-edge solutions in personalization and customer engagement.
Transform business problems into data science projects, ensuring measurable impact and alignment with product goals.
Present findings, strategic insights, and innovative ideas clearly to both technical and non-technical stakeholders.
Promote a culture of innovation, sharing new technologies, tools, and methodologies with the broader team.
Monitor, evaluate, and improve model performance across various production environments.
Requirements:
The ideal candidate for this role should:
Be fluent in machine learning and statistical modeling, with strong applied experience in real-world systems.
Demonstrate practical expertise in Python, SQL, and relevant ML frameworks (e.g., scikit-learn, TensorFlow, PyTorch).
Be experienced in using or fine-tuning large language models (LLMs) and working with generative AI tools.
Be skilled at framing complex problems into data science solutions and communicating them effectively across the organization.
Be energized by collaboration, innovation, and customer-centric thinking.
Bonus points if you:
Have worked in personalization, recommender systems, or behavioral analytics.
Are familiar with deploying models in production and integrating with modern MLOps pipelines.
Have experience with cloud platforms (e.g., AWS, GCP) and data tools (e.g., Airflow, Spark).
Stay actively engaged in the data science/AI community.
This position is open to all candidates.
 
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Location: Tel Aviv-Yafo
Job Type: Full Time
Required Staff Machine Learning Scientist
Realize your potential by joining the leading performance-driven advertising company!
As a Staff Machine Learning Scientist, youll play be a key contributor to product and engineering roadmaps, influencing decisions that affect millions of users daily.
How youll make an impact:
As a Staff Machine Learning 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
Provide technical leadership and mentor team members on best practices, code reviews, data-insights, analysis results and machine learning technical designs.
Own end-to-end projects involving multiple stakeholders, from architectural design and data pipeline configuration to production deployment and performance optimization.
Be a key contributor to product and engineering roadmaps, influencing decisions that affect millions of users daily.
You will report directly to the group manager.
Our tech stack:
Python, Java, TensorFlow, Spark, Kafka, Cassandra, HDFS, ElasticSearch, AirFlow, BigQuery, Google Cloud Platform, Kubernetes and Docker.
Requirements:
To thrive in this role, youll need:
M.Sc. or PhD. in Computer Science, Mathematics, Engineering or a related field
Strong knowledge in Python
Good knowledge in Java, Scala or C#
8+ years of hands on experience with coding data-science / machine learning / statistical modeling based solutions
3+ years of hands on experience in Recommendation Systems, Real Time Bidding or e-Commerce.
Familiarity with deep learning / classic machine learning / reinforcement learning / multi-armed bandits algorithms.
Experience in data analysis and visualization and strong knowledge in SQL
Possess strong problem solving and critical thinking skills.
This position is open to all candidates.
 
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הגשת מועמדותהגש מועמדות
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3 ימים
חברה חסויה
Location: Tel Aviv-Yafo
Job Type: Full Time
A fast growing start up, transforms infrastructure monitoring by leveraging optical fibers to monitor critical, large-scale systems like power grids and oil & gas pipelines across thousands of kilometers without the need for traditional sensors. Our Hyper-Scan Fiber-Sensing technology, combined with advanced Machine Learning, empowers utility operators to achieve environmental and renewable energy goals while maintaining operational excellence on their path to net-zero emissions. Founded in 2017, with offices in the U.S., Europe, and Israel (HQ), led by an expert team with a proven track record in building and scaling successful companies within the lasers and deep-tech sectors. We are seeking a Senior data Scientist to join our team and take a leading role in shaping the future of our data science. We need your CTO -grade capabilities to incubate and launch the data product offering, creating value to our customers via reports and recommendations. This role is ideal for someone who thrives in a fast-paced, hands-on environment, enjoys working across disciplines, and wants to see their work go from concept to impact in the real world. Today, this is a high-impact individual contributor role. However, it is intentionally structured to evolve into a leadership position. As our product, customer base, and data expand, youll be instrumental in building and leading a dedicated data science team, with full ownership of methodologies, tools, and people. The data Science team leader at Product will report to the VP product.
Requirements:
* Be a technology expert understand the ins and outs of how our products work.
* Understand the physics underlying each product feature, devise the method by which the feature operates, and work with R&D to build, improve and deploy it.
* Create our data Product offering build a set of reports and recommendations to customers, exposing the value of the underlying technology.
* Analyze customer data and field deployments to identify edge cases, improve models, and drive continuous product improvement. Bridge the gaps ad-hoc to bring immediate customer value, using AI and data analytics skills, as well as collaborating with R&D, Product, and AI teams.
* Implement Machine Learning or algorithmic solutions to solve urgent issues, with a clear path toward production deployment.
* Once the business need arises and team expansion begins, take an active role in hiring, mentoring, and leading a team of data scientists and analysts.
What You Bring:
* B.Sc. degree in a related field; M.Sc./Ph.D. is an advantage.
* Solid background in AI coding and data analysis skills.
* Track record managerial experience, leading a data science or data analytics team.
* Self-motivated with analytical skills and problem-solving orientation.
* Experience in multidisciplinary systems engineering, laser technology.
* Optical fibers, seismic signals, signal processing.
* Strong collaborator with peers; excellent communication and teamwork skills.
This position is open to all candidates.
 
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הגשת מועמדותהגש מועמדות
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חברה חסויה
Location: Tel Aviv-Yafo
Job Type: Full Time
Required Algorithms Analyst
Realize your potential by joining the leading performance-driven advertising company!
As a Data Analyst in Algorithm Group, you will use diverse data science methodologies to improve, assess, and contribute to the advancement of our algorithms.
How youll make an impact:
As a Data Analyst in Algorithm Group, youll bring value by:
Analyze big data and generate useful conclusions and actionable recommendations, driving our algorithm development and business efforts forward
Research and develop new metrics and KPIs to evaluate our product and systems performance
Define and implement advanced analysis tools using a variety of means such as Python notebooks, Tableau and Grafana
Devise new approaches of data analytics and in-depth statistical analysis while dealing with issues never dealt with before
Own and manage multiple data initiatives and projects both on an ongoing and an ad-hoc basis.
Requirements:
To thrive in this role, youll need:
Exceptional ability to understand data and to transform it into insights
BA/BSc or equivalent related experience in statistics, data analysis, data mining. MSC an advantage
3+ years experience working in a Data Science / Data Analysis / Product Analysis / BI position in a high data-rich environment
Proven experience in SQL, preferably using big-data database such as Google BigQuery
Coding experience in Python
Familiarity with statistical modeling and analysis techniques (familiarity with data driven experimentation theory, techniques and tools strong advantage)
Familiarity with Machine learning concepts and techniques
Fast learning capabilities and proven ability to multitask working on several projects at a time
Curious, with a strong desire to learn and master new tools and technologies.
Strong communication skills to be able to present insights and ideas, and excellent English, required to communicate with our global teams
Bonus points if you have:
Experience in software development / background in computer science an advantage
Experience in internet/mobile companies an advantage
Experience with BI tools (Tableau or Qlik) an advantage
Experience in reviewing data-science related articles and converting them into practical research or working products an advantage.
This position is open to all candidates.
 
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12/05/2025
חברה חסויה
Location: Tel Aviv-Yafo
Job Type: Full Time
We're looking for a sharp and passionate Data Scientist to join our top-notch Data Science team.
Using your technical and analytical skills, your mission will be to develop Data Science models in purpose to directly impact the business KPIs in various areas.
Responsibilities:
Develop data science models to support business decision-making and improve KPIs across various areas.
Analyze complex data sets to identify trends, patterns, and insights.
Continuously monitor and improve model performance through testing and experimentation.
Execute projects end-to-end from requirements gathering, data mining, and exploration up to full implementing in production
Collaborate with cross-functional teams including product, engineering, and marketing to identify data-driven solutions.
Communicate findings and insights to non-technical stakeholders in a clear and concise manner.
Stay up-to-date with the latest advancements and trends in data science and machine learning.
Creating a framework of technical standards and procedures.
Requirements:
3+ years of working experience in the field of advanced research using Data Science tools
BSc degree in a quantitative field such as Data Science, Computer Science, Statistics, Mathematics, or a related field.
Proficiency in programming languages such as Python and SQL and data science toolkits.
Strong experience in data analysis, statistical modeling, and end to end machine learning flow: data extraction, feature engineering, model building and performance evaluation.
Experience in AB testing
Excellent communication skills and the ability to present complex data in a clear and concise manner.
Strong problem-solving skills and the ability to think creatively to develop innovative solutions.
Self-learner, strong can-do attitude and great interpersonal skills
Working experience in the gaming industry - an advantage.
This position is open to all candidates.
 
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הגשת מועמדותהגש מועמדות
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חברה חסויה
Location: Tel Aviv-Yafo
Job Type: Full Time
As a Senior NLP Research Scientist, you will leverage your expertise in natural language processing to develop and deploy innovative NLP-based products, contributing directly to our product strategy. You will work alongside a team of exceptional NLP researchers, data analysts, and prompt engineers, tackling complex business challenges using real-world data. If you have a passion for NLP, a knack for creative problem-solving, and thrive in a collaborative environment, this role offers the opportunity to make a significant impact.

As a Senior Data Scientist, you will:

Develop and deploy cutting-edge NLP-based products for Gong, optimizing models for real-world performance and scalability while ensuring they meet production standards and business needs.
Conduct hands-on research to integrate data and product insights, creating robust NLP algorithms with production-grade code that enhance business outcomes and drive strategic value.
Participate in brainstorming sessions for machine learning initiatives, collaborating closely with the Product and Engineering teams to influence and shape Gongs product strategy.
Mentor team members and contribute to their professional growth through joint work, knowledge sharing, and staying up to date with the latest ML developments.
Requirements:
M.Sc. or Ph.D. in an exact science field, with a thesis focused on NLP.
3+ years of industry experience in NLP research, including deep learning and large language models (LLMs).
Strong knowledge of various ML disciplines and algorithms, with proven experience in delivering end-to-end algorithm solutions from experimentation to production.
Proficiency in Python programming and a solid understanding of experiment design, data analysis, and results reporting.
Excellent communication skills and the ability to collaborate effectively with cross-functional teams.
Published papers in peer-reviewed journals or conferences related to statistics, machine learning, or neural networks (an advantage).
This position is open to all candidates.
 
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6 ימים
חברה חסויה
Location: Tel Aviv-Yafo
Job Type: Full Time
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.
Requirements:
MSc in Computer Science, Engineering, or a related field with a focus on AI, ML, or DS.
5+ years of experience in DS roles, with a strong emphasis on building and deploying machine learning models in production environments.
Expertise in Python and SQL.
Experience with machine learning frameworks such as TensorFlow or PyTorch.
Familiarity with cloud platforms (e.g., AWS, GCP) and containerization tools (e.g., Docker, Kubernetes).
Proven experience in developing, fine-tuning, and deploying ML models, particularly in NLP.
Ability to translate complex business problems into data-driven solutions.
Excellent verbal and written communication skills, with the ability to convey complex technical concepts to non-technical stakeholders.
Preferred Qualifications:
Background in academic or industrial research in AI.
Familiarity with the e-commerce domain and related data challenges.
Previous experience leading projects in a DS capacity.
This position is open to all candidates.
 
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הגשת מועמדותהגש מועמדות
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חברה חסויה
Location: Tel Aviv-Yafo
Job Type: Full Time
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.
Requirements:
Bachelor's or Master's degree in Computer Science, Mathematics, Statistics, or a related field.
Minimum of 5 years of experience as a Data Scientist or in a related field, with experience working in a production environment or PHD with relevant experience
Strong programming skills in Python and proficiency in SQL.
Deep understanding of statistical analysis, machine learning, deep learning and data visualization techniques.
Strong communication and collaboration skills to work effectively in a team environment.
Skills in developing AI agents, such as LLM-based assistants or autonomous workflows - advantage.
This position is open to all candidates.
 
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הגשת מועמדותהגש מועמדות
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20/05/2025
חברה חסויה
Location: Tel Aviv-Yafo
Job Type: Full Time
We are looking for a strong, hands-on Data Scientist to join our Data Loss Prevention team.

In this role, you will join an R&D team that researches, designs, and develops Check Points data loss prevention cloud services, providing state-of-the-art AI-based data loss prevention solutions on a global scale.

Key Responsibilities


Join the research and development of new innovative capabilities for data loss prevention, involving advanced AI and algorithms.
Quickly iterate on design approaches based on data-driven research and user feedback.
Design and develop novel data-driven solutions that have the potential to deliver game-changing results involving advanced AI and algorithms.
Utilize Natural Language Processing (NLP) and large language models to enhance data loss prevention capabilities.
Work on web content categorization as part of the broader scope of data protection.
Collaborate with Cyber Researchers, Analysts, Fellow programmers, and Data Scientists to deliver machine learning and analytics solutions.
Push the solutions all the way to large-scale production systems. Understand the architectural constraints of such systems and work with a cross-organizational engineering and product team to quickly transition from prototype to a scalable robust implementation.
Requirements:
At least 3-4 years of relevant experience and track record in Data Science: Machine Learning, Deep Learning, and Statistical Data Analysis.
Proven experience in developing and deploying production-level models within enterprise environments.
MSc or PhD degree in CS or Mathematics, Bioinformatics, Statistics, Engineering, Physics, or similar discipline.
Strong hands-on experience in Python with a focus on statistical algorithms development.
Experience with data science libraries such as: sklearn, pandas, numpy, pytorch/tensorflow.
Team player, able to work in collaboration with subject matter experts, with the ability to clearly present and communicate findings.
Proven ability to build and deliver data solutions in a short time frame.
Experience with AWS, Docker, and development methodologies - an advantage.
Active Github, Kaggle member an advantage.
Background in data loss prevention or related fields an advantage.
This position is open to all candidates.
 
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