Senior Data Scientist

לפני 7 שעות

Senior Data Scientist

חברה חסויה

Location: Tel Aviv-Yafo

Job Type: Full Time

We are looking for a passionate Senior Data Scientist to join our all-star team.

This is an amazing opportunity to join a multi-disciplinary A-team while working in a fast-paced, results, marketing and data-oriented environment.

If you are experienced but still hungry to learn and impact - wed love to have you on our team!

What You'll Do:

Devise, initiate, manage and execute cutting edge exploration and exploitation projects.
Apply your knowledge of Data Science and algorithm development to create data solutions.
Analyze extremely large (petabytes) and diverse datasets to solve complex problems, and then develop algorithmic solutions to do it for you.
Proactively seek growth opportunities aligned with core KPIs.
Partner with other functions in the company, to support decision making.
Instant data gratification guaranteed!.

Requirements:
4+ years of practical analytics experience in big data businesses (preferable - B2C company).
A hands-on, passionate person who likes to get to the bottom of things in terms of algorithms, data and business.
Excellent analytical skills with experience in querying large, complex data sets.
Strong understanding of statistical significance.
Hands-on experience with machine learning algorithms; Python and data visualization tools such as Tableau, Looker, etc.
BSc degree (or higher) in Mathematics, Statistics, Engineering, Computer Science or any other quantitative field.
Self-learner, multi-tasker, able to work independently.
Self-sufficient proactive problem-solver.
Excellent communications skills, both written and verbal.
Familiarity with the Ad-Tech industry - a big plus.
Experience in implementing real-time machine learning and data mining algorithms in large scale environments - a big plus.
Fun to work with & a team player :).

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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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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31/12/2025

Data Scientist

חברה חסויה

Location: Tel Aviv-Yafo

Job Type: Full Time

The Data Science department plays a pivotal role in our company, generating value by developing algorithms and analytical production-grade solutions. We leverage advanced techniques and algorithms to provide maximum value from data in all shapes and sizes (such as classification models, NLP, anomaly detection, graph theory, deep learning, and more). As a Data Scientist, you will assume the classic data-science role of an end-to-end project development and implementation practitioner. Being part of the team requires a mix of hard quantitative and analytical skills, solid background in statistical modeling and machine learning, a technical data-savvy nature, along with a passion for problem-solving and a desire to drive data-driven decision-making.
What You'll Be Doing
Data Exploration and Preprocessing: Collect, clean, and transform large, complex data sets from various sources to ensure data quality and integrity for analysis
Statistical Analysis and Modeling: Apply statistical methods and mathematical models to identify patterns, trends, and relationships in data sets, and develop predictive models
Machine Learning: Develop and implement machine learning algorithms, such as classification, regression, clustering, and deep learning, to solve business problems and improve processes
Feature Engineering: Extract relevant features from structured and unstructured data sources, and design and engineer new features to enhance model performance
Model Development and Evaluation: Build, train, and optimize machine learning models using state-of-the-art techniques, and evaluate model performance using appropriate metrics
Data Visualization: Present complex analysis results in a clear and concise manner using data visualization techniques, and communicate insights to stakeholders effectively
Collaborative Problem-Solving: Collaborate with cross-functional teams, including product managers, data engineers, software developers, and business stakeholders to identify data-driven solutions and implement them in production environments
Research and Innovation: Stay up to date with the latest advancements in data science, machine learning, and related fields, and proactively explore new approaches to enhance the company's analytical capabilities

Requirements:
B.Sc (M.Sc is a plus) in Computer Science, Mathematics, Statistics, or a related field
3+ years of proven experience designing and implementing machine learning algorithms and successfully deploying them to production.
Strong understanding and practical experience with various machine learning algorithms.
Proficiency in Python, Experience with SQL and data manipulation tools (e.g., Pandas, NumPy) to extract, clean, and transform data for analysis
Solid foundation in statistical concepts and techniques, including hypothesis testing, regression analysis, time series analysis, and experimental design
Strong analytical and critical thinking skills to approach business problems, formulate hypotheses, and translate them into actionable solutions
Proficiency in data visualization libraries, to create meaningful visual representations of complex data
Excellent written and verbal communication skills to present complex findings and technical concepts to both technical and non-technical stakeholders
Demonstrated ability to work effectively in cross-functional teams, collaborate with colleagues, and contribute to a positive work environment
Advantages:
Experience in the fraud domain
Experience with Airflow, CircleCI, PySpark, Docker and K8S

This position is open to all candidates.

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16/12/2025

Principal Data Scientist - Agent Team - AI & ML (Cortex)

חברה חסויה

Location: Tel Aviv-Yafo

Job Type: Full Time

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 at our company, 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 endpoint-based 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.

Requirements:
6+ years of hands-on experience delivering production-grade data science and machine learning projects.
Deep expertise in probability, statistics, and machine learning, with a proven ability to select, adapt, and apply advanced algorithms to real-world problems.
Proven deep learning experience, including model design, training, and evaluation.
Strong proficiency in Python with solid working knowledge of SQL.
Advanced degree (MSc or PhD) in Machine Learning, Computer Science, Electrical Engineering, Physics, Statistics, Applied Mathematics, or a closely related field.
Demonstrated ownership of end-to-end research POCs, from problem formulation and experimental design through execution, analysis, and final recommendations.
Strong emphasis on engineering-quality, production-ready code with high standards for reliability, scalability, and maintainability.
Excellent communication skills, with the ability to clearly articulate complex technical insights to both technical and business stakeholders.
Advantages:
Background in the cybersecurity domain, with focus on endpoint security
Experience working with big data platforms (e.g., GCP).
Familiarity with cloud-native architectures and services for data processing.

This position is open to all candidates.

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לפני 7 שעות

Data Scientist

חברה חסויה

Location: Tel Aviv-Yafo

Job Type: Full Time

our company- Crafting Tomorrow's Retail Experience
We started with a simple question: How can vision AI make shopping better for everyone? Today, our team of passionate experts is transforming how people shop and how retailers operate- one store at a time
Our goal is to solve real retail challenges by developing advanced computer vision AI that prevents loss, enables grab-and-go shopping, and turns store data into valuable insights-all while delivering clear value from day one.
With multiple deployments in stores globally, deep partnerships with top-tier retailers, and a product suite thats proving its impact every day, we are not just imagining the future of retail- we're building it.
At our company, were revolutionizing the way people shop with our cutting-edge AI-driven technology, enabling cashier-less stores and advanced theft prevention systems.
We are looking for an experienced, sharp-minded and detail-oriented Data Scientist to join our growing R&D department, and work with an amazing team towards combating retail shrink - that is, catching thieves!
In this role you will develop and implement machine learning models and data-driven algorithms, create methodologies, and employ advanced data analysis techniques to define KPIs, measure our companys performance, and uncover actionable insights that drive impactful research. Your work will focus on transforming vast amounts of data into meaningful predictions, building scalable ML solutions, and enabling tools that improve the effectiveness of our innovative systems.
If you have a passion for data science and advanced analysis of systems solving real-world problems, wed love to hear from you!
A day in the life
Employ accurate data analysis techniques to evaluate system performance and identify areas for improvement. Produce clear, actionable insights to guide innovation and improve product KPIs.
Design and implement algorithms to automate and optimize performance measurement and decision-making processes.
Develop, train, and deploy predictive models that enhance our companys core capabilities.
Continuously monitor, validate, and refine models in production to ensure accuracy and robustness.
Collaborate with algorithm researchers, product managers, and Operations to align model design with business and R&D goals.

Requirements:
B.Sc in Engineering or Exact Sciences (M.Sc. is an advantage).
At least 3 years of experience as a Data Scientist.
Strong proficiency in Python and SQL (preferably with BigQuery and PostgreSQL dialects), with experience in ML frameworks (e.g., scikit-learn).
Proven ability to handle complex datasets and perform feature engineering and data preprocessing.
Hands-on experience developing machine learning models (e.g., classification, regression, clustering) and deploying them in production.
Proven ability to summarize and visualize complex data, presenting insights in a clear, compelling manner.
Impeccable attention to detail, ensuring accuracy in data analysis and reporting.
A strong theoretical and practical foundation in statistics and data science methodologies.
A mission-oriented critical thinker with excellent problem-solving abilities.
A team player by nature with great communication skills and a can-do attitude.

This position is open to all candidates.

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06/01/2026

Data Scientist

חברה חסויה

Location: Tel Aviv-Yafo

Job Type: Full Time and Hybrid work

We are seeking an experienced and visionary Data Scientist to join our dynamic technology organization. The successful candidate will be a part of a team of talented data scientists, driving innovation and delivering business value through advanced machine learning techniques and Generative AI solutions. This role requires a strategic thinker with hands-on expertise in both traditional and cutting-edge data science methodologies, and a passion for continuous learning and development.
Responsibilities:
Gradient boosting techniques (e.g., XGBoost, LightGBM, CatBoost) are used to enhance predictive accuracy and model robustness.
Drive the exploration and integration of Generative AI applications, including Large Language Models (LLMs), to create innovative solutions for our products and services.
Collaborate with cross-functional teams (engineering, product, business) to translate business requirements into actionable data science projects.
Establish best practices for model development, validation, deployment, and monitoring in production environments.
Promote a data-driven culture, encouraging experimentation, sharing of knowledge, and adoption of state-of-the-art technologies.
Communicate project progress, insights, and results to stakeholders at all levels of the organization. Design, implement, and optimize classic machine learning models to solve complex business problems.

Requirements:
Bachelors or Masters degree in Computer Science, Mathematics, Statistics, Data Science, or related field; a PhD is an advantage.
5+ years of experience in data science roles.
Proven expertise in classic machine learning algorithms and techniques, including regression, classification, clustering, and feature engineering.
Extensive hands-on experience with gradient boosting frameworks such as XGBoost, LightGBM, and CatBoost.
Demonstrated success in designing, deploying, and scaling Generative AI applications (e.g., LLMs) in real-world scenarios.
Strong programming skills in Python and proficiency with data science libraries (scikit-learn, pandas, NumPy, TensorFlow, PyTorch).
Experience with cloud platforms (AWS, Azure) and MLOps tools for model deployment and monitoring in production.
Knowledge and experience in Databricks and Spark.
Ability to thrive in a fast-paced, collaborative, and innovative environment.
Experience in handling big data of billions of observations.
Preferred Skills:
Knowledge of data engineering and pipeline development.
Prior experience in fintech or the payments industry is a plus.

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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15/12/2025

Senior Data Scientist

חברה חסויה

Location: Tel Aviv-Yafo

Job Type: Full Time

We are looking for an experienced Data Scientist who can leverage and develop innovative machine learning, NLP, and generative AI technologies, for solving problems within a wide scope.
As a part of our Data Science group, you will work on highly complicated challenges, from research to production, and help shape our algorithms and AI platform. You will work with Developers, Analysts, Product Managers, and business owners on growth opportunities and new ideas.
You should have a strong background and experience in the machine learning pipeline through business understanding, research, data exploration, feature engineering, model building, performance evaluation, testing, production-level code and deployment, model monitoring, and maintenance.
What am I going to do?
Take leading roles in projects such as search engine ranking, promoted ads in our companys search results, recommendations, users segmentation and personalization, online bidding optimization, text analysis, real-time predictions, live streaming data handling, exploration-exploitation problems, etc.
Work closely with various departments in the company to provide advanced Data Science solutions end to end.
Write and own production models and code.
Independent research and innovation in new content and technological domains.
Lead and advise other team members.
Continuously produce new initiatives and improvement ideas.
Act as a leader of our companys AI platform. Develop models and framework solutions for the group.

Requirements:
MSc in Computer Science/Engineering or related field with a focus on applied statistics, AI, machine learning, or related fields - a must.
6+ years of production environment experience, working with predictive and probabilistic models, clustering algorithms, classification models, search and recommendation techniques - a must.
Proven record for successful production implementation of translating product/business requirements into a technical solution.
Experience with Large Language Models (LLMs), including fine-tuning, prompt/context engineering, and working with modern AI/LLM toolchains.
Team player, Ability to handle several tasks simultaneously.
Strong knowledge in Python, SQL, and NoSQL.
Spark and Big data technologies experience an advantage.
Research experience - an advantage.
Experience with e-commerce - an advantage.

This position is open to all candidates.

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11/01/2026

Data Science Team lead

חברה חסויה

Location: Tel Aviv-Yafo

Job Type: Full Time

We are seeking a talented and experienced team manager to head our Data Science team within the critical Risk domain. This role uniquely combines hands-on development of vital risk prevention models, team mentoring, defining the technological strategy, and driving innovation in the field of AI Agents.

Key Responsibilities
As the Data Science Team Lead for Risk, you will be responsible for:

Technological and Strategic Leadership: Defining and implementing the Data Science strategy for the Risk domain, while identifying critical business and technological opportunities.
Hands-on Development: Actively working on the development, building, and deployment of critical Machine Learning and Gen-AI models for identifying, classifying, and preventing risks and fraud.
Team Management and Mentoring: Managing and guiding a team of talented Data Scientists, including work planning, professional development, providing mentorship, and contributing to talent acquisition.
AI Agents Innovation: Leading the team's efforts in the field of AI Agents within Risk, including architectural design, developing complex Agent Workflows, advanced Prompt Engineering, and developing rigorous Evaluation methodologies to ensure reliability and accuracy in production.
Cross-Functional Collaboration: Managing strategic relationships and collaborations with Engineering, Product Managers, Analysts, and other stakeholders to ensure solutions meet critical business needs.
Production Deployment: Ensuring Data Science solutions transition reliably, scalably, and efficiently from concept to production and making significant impact.

Requirements:
5+ years of experience as a Data Scientist, with at least 2 years of proven experience in managing or leading a team of data scientists.
Strong background and practical experience developing and leading end-to-end Machine Learning projects.
Experience working closely with development teams
Proven hands-on experience working with Large Language Models (LLMs), including:
Building Agent-Based Frameworks to solve complex problems.
Advanced Prompt Engineering.
Defining and building Agent Workflows that interact with data sources and APIs.
Establishing and executing comprehensive validation frameworks of Gen-AI solutions.
Excellent interpersonal and leadership skills: ability to manage and develop people and build strong relationships with key internal partners.
Ability to take full ownership of projects, from initial idea through to deployment in production.
Experience working in a Big Data environment and at scale.
B.Sc in Computer Science, Physics, Mathematics, Electrical Engineering, Statistics, or a related quantitative field

This position is open to all candidates.

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8495759

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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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8498339

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