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Location: Tel Aviv-Yafo
Job Type: Full Time
Required Senior Data Scientist, Recommender Systems
Every role at our company is designed with a clear purposeto integrate collective efforts into our shared success, functioning as pieces of a collective brain. Machine learning and AI, and especially recommender systems are at the center of our strategy and are imperative to our continuous success.
What will you be responsible for?
Solving complex business problems using ML and data-driven techniques, using a wide range of both classic and relevant SOTA algorithms and technologies, especially Recommender Systems challenges with high volumes of data. You'll be our Recommender Systems expert.
Working against business stakeholders to identify, well-define, and prioritize business problems to be solved through DS\ML pipelines.
Developing data-driven recommendation systems that directly increase user engagement, revenue growth, and customer retention.
Defining success criteria for each goal, building and owning the monitoring flow and maintenance plan for each solution.
Collaborating closely with a cross-functional Data Science team consisting of ML engineers, product managers, and data engineers.
Continuously self-learning, growing professionally, and mentoring younger team members.
Heres what we need from you:
On a personal level:
Collaboration: You are a true team player who thrives in cross-functional teamwork, working seamlessly with other teams while leading efforts within the data science team in a collaborative manner.
Independence & Ownership: You take initiative, pick up tasks quickly, and are capable of driving projects independently from ideation through to implementation. You plan, execute, and deliver End-to-End results without requiring constant supervision.
Ambitious. You are eager to make an impact and lead by example. You want to grow, you thrive in a fast-moving, dynamic, growth environment, and can operate at the strategic level and the micro-detail to get things done.
Results-driven. You have a can-do approach, drive to exceed your goals
Business-oriented. You are interested in our business, products, and services and know how to translate business needs into ML solutions.
Organized. You can manage highly interdependent, multifaceted projects and keep various work streams on track - even those with many moving parts.
Story Teller. You have good communication skills and are confident in presenting your results and ideas clearly and concisely.
Requirements:
5+ years experience in Data Science, including at least 2 years developing recommendation systems.
MSc or PhD in a relevant field with a thesis
Proficiency with Python (Pandas, NumPy, SciPy, scikit-learn).
Working with GenAI tools to enhance productivity.
Proven track record of deploying end-to-end ML models into production.
Preferred:
Experience with Big Data technologies (Spark).
Familiarity with Databricks ecosystem.
This position is open to all candidates.
 
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2 ימים
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סוג משרה: משרה מלאה ועבודה היברידית
- עבודה בשיתוף פעולה עם data Scientists להעברתם של מודלים מבוססי Machine Learning משלב המחקר לייצור, תוך הבטחת ביצועים, סקיילביליות ואמינות.
- פיתוח ותחזוקה של תהליכי ML מקצה לקצה וכתיבת קוד Python יעיל למודלי ML, כולל ניהול גרסאות ושילוב בתהליכי CI/CD.
דרישות:
- ניסיון של 2-4 שנים בהנדסת Machine Learning, הנדסת תוכנה או הנדסת דאטה.
- שליטה גבוהה בפיתוח ב- Python ופיתוח API עם FastAPI.
- ניסיון בעבודה עם Git, Docker, ו-Pipelines של CI/CD.
- ניסיון בעבודה עם LLM/RAG תוך שימוש ב-LangChain ו-LlamaIndex יתרון. המשרה מיועדת לנשים ולגברים כאחד.
 
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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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חברה חסויה
Location: Tel Aviv-Yafo
Job Type: Full Time
Were looking for a Staff Data Scientist to join our dynamic and collaborative team in Tel Aviv.
In this role, you will shape strategic initiatives in the domain of AI and algorithm development, driving the creation of deep and innovative capabilities that push the boundaries of AI-driven solutions. By blending cutting-edge methods in Generative AI and Applied Machine Learning, youll play a pivotal part in defining our next generation of advanced, data-driven products and services.
Here are a few of the things you will do:
Collaborative Team Player: Foster an environment where colleagues can thrive. Seek opportunities to enhance team effectiveness, share expertise, and promote a culture of continuous learning.
Lead Applied Research & Development: Drive projects from focused, time-bound experimentation using scientific tools to delivering robust, production-ready solutions.
Strategic Impact: Partner with cross-functional stakeholders to identify, prioritize, and execute on high-impact AI and ML initiatives, ensuring alignment with business objectives.
Hands-On Innovation: Stay up-to-date with the latest technical and scientific advancements in AI, maintaining an experimental mindset to test, adopt, and refine emerging techniquesparticularly in Generative AI and LLMs.
Full Solution Ownership: Take accountability for project outcomesgathering requirements, developing data-driven solutions, and ensuring smooth deployment and operation through best-in-class MLOps practices.
Requirements:
Strong problem-solving mindset, with a passion for continuous innovation.
8+ years of professional experience in Data Science/ML Engineering roles, including at least one role with a tenure of two years or more in the same organization.
A Masters or Ph.D. degree in Computer Science, Engineering, or a related field.
Demonstrated accountability and stakeholder management: Capable of gathering requirements and translating them into actionable, data-driven solutions, while taking full ownership of the outcomes.
Proven track record of deploying ML solutions to production, adhering to proper MLOps practices throughout the model lifecycle.
Experience in fine-tuning LLMs, adapting them to domain-specific problems.
This position is open to all candidates.
 
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5 ימים
חברה חסויה
Location: Tel Aviv-Yafo
Job Type: Full Time
We are looking for a passionate Senior Data Scientist to develop and deploy sophisticated user-level models and real-time online learning systems. In this role, you'll work end-to-end on building personalized predictive models that adapt as user behavior evolves, enabling dynamic decision-making. Your work will directly impact user experience, drive revenue growth, and enhance data-driven decision making across the organization by transforming how we understand and respond to individual user patterns in real time. You will be handed with a business problem and will be asked to provide an end to end solution - Unpack and thoroughly understand the business problem, define the strategy to deal with it and research, develop & deploy your solution along with relevant support.
What you'll be doing:
Design and implement end-to-end solutions from business needs all the way to live deployment
Monitor and own models in production
Model, design, and implement machine learning and data mining algorithms that will impact millions of users.
Perform deep data analysis to evaluate performance and recommend improvements
Help, guide and support our business partners to allow for scale and accuracy while adopting your solutions
Requirements:
At least 5 years of experience as data scientist /researcher, combining excellent hands-on SQL and Python skills
At least 3 years of experience applying ML algorithms to solve real world business problems (e.g., Logistic Regression, Neural Networks, K-Means and decision trees)
B.Sc in Computer Science, Statistics, Operations Research or equivalent
Solid background with data lake and data warehouse technologies
Great communication skills, Hands-On, independent and out of the box thinker
You might also have
Proven experience with Airflow development
Experience with functional programming & big data technologies such as Spark, Trino, SingleStore DB
Experience with Cloud Computing
Experience in the Mobile gaming and advertising industries
This position is open to all candidates.
 
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Location: Tel Aviv-Yafo
Job Type: Full Time and Hybrid work
The Account Defender team at our company is responsible for safeguarding user accounts across the internet by identifying and mitigating fraudulent activities post-login, including synthetic account creation, unauthorized account access (ATO), and coordinated malicious behavior.
We combine large-scale behavioral data with detection logic to stop sophisticated actors and protect real users.
Were looking for a Senior Data Scientist to join our team and take a key role in shaping detection strategies, researching behavioral signals, and developing models that power our companys real-time fraud defenses.
This is a high-impact role that involves working closely with other researchers, data analysts, product managers, and engineers to build, deploy, and iterate on fraud detection capabilities at scale.
What you'll do:
Lead end-to-end research projects to detect fake users and account takeovers from exploring behavioral patterns and validating hypotheses to deploying logic in production and evaluating impact.
Design and implement detection logic and features based on large-scale behavioral signals and fraud patterns.
Analyze real-world traffic to surface anomalies and iterate on detection strategies that improve precision and coverage.
Work closely with Product and Engineering to integrate solutions into production systems and influence roadmap decisions.
Help shape the teams detection methodologies, tooling, and best practices for scalable, real-time fraud mitigation.
Requirements:
You have experience solving large-scale, data-intensive problems in production environments (we process trillions of events per day, so comfort with big data is essential).
You are fluent in Python and SQL, and comfortable with modern data tools and platforms.
You understand the strengths and trade-offs of various statistical and detection approaches, and can ship practical solutions to production.
You are able to bring clarity to ambiguous problems and simplicity to complex ones.
You write maintainable, object-oriented code and have strong debugging skills.
Youve worked on cross-functional projects with both technical and non-technical stakeholders, and are comfortable following SDLC best practices (version control, unit testing, CI/CD).
Experience in fraud detection, account security, or the cybersecurity space is a strong advantage.
This position is open to all candidates.
 
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Location: Tel Aviv-Yafo
Job Type: Full Time and Hybrid work
The Account Defender team at our company is responsible for safeguarding user accounts across the internet by identifying and mitigating fraudulent activities post-login, including synthetic account creation, unauthorized account access (ATO), and coordinated malicious behavior.
We combine large-scale behavioral data with detection logic to stop sophisticated actors and protect real users.
Were looking for a Senior Data Scientist to join our team and take a key role in shaping detection strategies, researching behavioral signals, and developing models that power our companys real-time fraud defenses.
This is a high-impact role that involves working closely with other researchers, data analysts, product managers, and engineers to build, deploy, and iterate on fraud detection capabilities at scale.
What you'll do:
Lead end-to-end research projects to detect fake users and account takeovers from exploring behavioral patterns and validating hypotheses to deploying logic in production and evaluating impact.
Design and implement detection logic and features based on large-scale behavioral signals and fraud patterns.
Analyze real-world traffic to surface anomalies and iterate on detection strategies that improve precision and coverage.
Work closely with Product and Engineering to integrate solutions into production systems and influence roadmap decisions.
Help shape the teams detection methodologies, tooling, and best practices for scalable, real-time fraud mitigation.
Requirements:
You have experience solving large-scale, data-intensive problems in production environments (we process trillions of events per day, so comfort with big data is essential).
You are fluent in Python and SQL, and comfortable with modern data tools and platforms.
You understand the strengths and trade-offs of various statistical and detection approaches, and can ship practical solutions to production.
You are able to bring clarity to ambiguous problems and simplicity to complex ones.
You write maintainable, object-oriented code and have strong debugging skills.
Youve worked on cross-functional projects with both technical and non-technical stakeholders, and are comfortable following SDLC best practices (version control, unit testing, CI/CD).
Experience in fraud detection, account security, or the cybersecurity space is a strong advantage.
This position is open to all candidates.
 
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חברה חסויה
Location: Tel Aviv-Yafo
Job Type: Full Time and Hybrid work
we are looking for a Lead Data Scientist
How will you make an impact with us?

Build the data capability for this new, exciting business from the ground up. As the day-one employee, you have the ability to own and shape the strategy for how data is used in our Sweeps division.

Hands-on delivery of rich insights, a visualisation suite for the whole organisation with direct exposure to the General Manager and C-Suite.

Use data analytics to track KPIs, player behavior, spending patterns, and overall trends. Use these insights to adjust strategies, achieve targets, and inform strategic decisions that optimize organisation-wide KPIs.

Design and deliver data science models that predict revenue growth and player engagement in addition to models that focus on creating the best player experience through personalised recommendations for content matching, player networking, and offer optimisation.

Continuously measure, evaluate and improve the data and analytics ecosystem to ensure that the strategies of key stakeholders in Marketing, Economy, Player Services, and Product Design are supported through data driven insight generation and modelling.

Develop and maintain strong relationships with Stakeholders across the organisation, work closely with other departments (marketing, product development) to align high-value data initiatives with overall company goals.

Provide advisory services within the organisation around how data and analytics can be used to achieve goals.
Requirements:
6+ years of hands-on experience in building and maintaining data science solutions in production.

4+ years of proven track record of driving business results through use of data - tracking and analyzing team KPIs, player behavior, spending patterns, and trends.

Autonomous solution building expertise, spanning the full end-to-end of a data solution (from infrastructure set up to data capture to engineering/modeling to data science experimentation and path to production).

Being hands on and capable of managing expectations with regards to delivery needs and timelines.

Excellent communication skills across all levels (technical and strategic).
This position is open to all candidates.
 
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26/05/2025
חברה חסויה
Location: Tel Aviv-Yafo
Job Type: Full Time
We're looking for experienced, creative and highly independent NLP algorithm engineers to join our winning team. This is a great opportunity to join an algorithm department early on and to have a major impact on the product and methods used. You will be in charge of end to end algorithm development, from initial research, all the way to full deployment.

Responsibilities:
Research, develop, and deploy advanced machine learning and deep learning models to production.
Take end-to-end ownership of the project lifecycle, from data collection and preprocessing to model training, evaluation, and deployment.
Utilize NLP methodologies to extract and provide insights from patient medical records.
Collaborate closely with cross-functional teams to understand business requirements and translate them into data-driven solutions.
Stay updated with the latest research and advancements in machine learning, deep learning, and NLP.
Communicate findings and recommendations effectively to both technical and non-technical stakeholders.
Requirements:
Requirements:
B.Sc + M.Sc in an analytical field (Computer Science, Bioinformatics, Engineering or any other analytical degree).
4+ years of hands-on experience with Machine Learning and Deep learning algorithms.
High proficiency with Python and SQL.
Experience with NLP and NLU algorithms, including Question Answering, Reading Comprehension, Language Embeddings, etc or equivalent experience in other Deep Learning modalities.
Experience developing end to end data science solutions in production, writing scalable and automated solutions.
Team player with strong communication and collaboration skills.

Advantages:
Ph.D. in an analytical field.
Experience working with Cloud Infrastructure: AWS, Docker, Kubernetes etc.
Experience with LLM models in production systems.
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 Senior Data Scientist
Realize your potential by joining the leading performance-driven advertising company!
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
Our tech stack:
Python, Java, TensorFlow, Spark, Kafka, Cassandra, HDFS, ElasticSearch, AirFlow, BigQuery, Google Cloud Platform, Kubernetes and Docker.
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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הגשת מועמדותהגש מועמדות
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5 ימים
חברה חסויה
Location: Tel Aviv-Yafo
Job Type: Full Time
We are looking for a Senior Data Scientist.
About the role:
Assume ownership of multiple AI/ML solutions and features and deliver value to customers
Conduct data discovery of big data sources to identify potential applications and address specific problems
Design, implement and guide end-to-end machine learning pipelines from data processing to orchestration and MLOps
Think creatively about complex problems and deliver technological Innovation
Collaborate with others via open discussions, Design Reviews and Code Reviews.
Requirements:
M.Sc. in Computer Science, Electrical Engineering, or Mathematics
6+ years expertise delivering multiple and scalable ML solutions to production
Experience in data science tools and libraries including PyTorch/TensorFlow/Keras
Experience in data visualization, data exploration
Experience writing code in Agile, CI/CD-based production environments
Experience working with Big data technologies such as Kafka/Spark/OpenSearch, Parquet/Avro/Delta Lake/Iceberg
Good knowledge in GenAI tools such as LLM Orchestrations and integration packages, Agents, RAG systems
Strong communication and collaboration skills
Experience in Cyber security solutions is a big advantage
Experience in graph based and formal verification methods is a big advantage
This position is open to all candidates.
 
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