Data Scientist

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8509789

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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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8481178

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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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8490183

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1 ימים

Product Analytics Team Lead

חברה חסויה

Location: Tel Aviv-Yafo

Job Type: Full Time

The Data & Research department oversees all of our data-related requirements. Our ultimate goal is to enable and increase the use of data across the company through creative approaches and the implementation of powerful resources such as analytical databases, advanced data pipelines, BI tools, and data science technology.

We hire the brightest minds to take on this challenge and equip them with the tools and knowledge that contribute to their personal growth and success while supporting our companys culture of diversity, experimentation, and curiosity. The Product Analytics team is a key enabler of informed decision-making across product, engineering, underwriting, risk, operations, and other areas.

We are now seeking a Product Analytics Team Leader to manage and grow a team of four exceptional product analysts. In this role, you will be responsible for scaling our analytics capabilities, driving high-impact insights that inform product strategy, and guiding experimentation efforts across the organization. Youll serve as a strategic thought partner to senior product and business leaders, ensuring the effective use of analytics tools and methodologies. This position requires a strong understanding of product development, a deep analytical mindset, and excellent leadership skills.

Responsibilities

We are looking for a hands-on, experienced analytics leader who will:

Lead, mentor, and develop a team of 4 product analysts, fostering a culture of curiosity, critical thinking, and continuous learning.
Define and evolve our product analytics strategy, including KPI frameworks, event tracking standards, and experimentation processes.
Partner closely with product managers, engineers, designers, and senior stakeholders to identify key business questions, translate them into analytical projects, and deliver insights that shape product roadmaps and strategic decisions.
Promote analytics excellence by driving best practices in data instrumentation, experimentation design, statistical analysis, and business storytelling.
Lead the development and maintenance of dashboards and A/B testing frameworks to evaluate user behavior, feature performance, and product-market fit.
Conduct and oversee in-depth analysis of product usage, customer journeys, and market trends to uncover opportunities and solve critical product challenges.
Translate complex data findings into clear, actionable recommendations, effectively communicating insights to technical and non-technical audiences.
Stay current with trends in product analytics, data tooling, and emerging technologies to continuously raise the bar for the team and the broader product organization.
Champion data-driven decision-making throughout the product lifecycle-from ideation and development to launch, iteration, and sunset.

דרישות:
Bachelor's degree in a quantitative field such as Statistics, Mathematics, Computer Science, Economics, or a related discipline. Master's degree preferred.
6+ years of experience in product or business analytics, with at least 1-2 years in a formal team lead or managerial role.
Proven track record of leading analytics projects end-to-end and partnering with product & engineering teams in a tech-driven organization.
Strong command of SQL - able to guide and review complex queries and pipelines.
Experience with experimentation platforms and product tracking tools (Mixpanel, Full-Story, etc.).
Proficiency in data visualization tools (e.g., Tableau, Looker).
Solid understanding of A/B testing methodologies and statistical significance.
Excellent communication, presentation, and interpersonal skills, able to present insights clearly to both technical and non-technical audiences.
Analytical and adaptable; thrives in a fast-paced, evolving startup environment.
Fluent English speaker - strong written and verbal communication required.
Cyber knowledge (advantage).
Experience with programming languages such as Python for data analysis. המשרה מיועדת לנשים ולגברים כאחד.

עדכון קורות החיים לפני שליחה

8526625

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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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25/12/2025

Data Scientist- File Security Detection Engines Teams

חברה חסויה

Location: Tel Aviv-Yafo

Job Type: Full Time

We are looking for a strong, hands-on Data Scientist with knowledge in Security Research to join a cutting-edge AI and cyber security initiative .
In this role, youll be part of a growing data science team working on advanced prevention technologies, leveraging vast amounts of data and state-of-the-art machine learning techniques to help protect users on a global scale.
This is a unique opportunity to join a high-impact, research-driven environment, where you will have the chance to shape core components of a next-generation security solution.

Key Responsibilities
Research and develop innovative AI-powered capabilities for cyber threat prevention.
Perform hands-on malware analysis in Windows environments, focusing on files and related threats.
Rapidly prototype and iterate based on data insights and user feedback.
Design and build data-driven solutions with a strong emphasis on practical impact and performance.
Collaborate closely with cyber researchers, analysts, and engineers to deliver production-grade machine learning models.
Work across organizational boundaries to bring solutions from concept to large-scale deployment, considering system constraints and integration challenges.

Requirements:
BSc in Computer Science, Mathematics, Bioinformatics, Statistics, Engineering, Physics, or a similar discipline; MSc is an advantage.
At least 2 years of hands-on malware analysis experience in Windows environments, focusing on file-based threats - must
At least 2+ years of experience applying data science techniques, including Machine Learning, Deep Learning, and statistical data analysis, with practical hands-on work in Python.
Comfortable using data science libraries such as: sklearn, pandas, numpy, pytorch,langchain with a focus on developing statistical and machine learning algorithms.
At least 2 years of experience using AI tools in practical applications.
Team player, able to work in collaboration with subject matter experts, with the ability to present and communicate findings.
Proven ability to build and deliver data solutions in a short time frame.

This position is open to all candidates.

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8473473

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חברת השמה / כח אדם

22/01/2026

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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8514420

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7 ימים

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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8519954

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11/01/2026

Senior Data Scientist

חברה חסויה

Location: Tel Aviv-Yafo

Job Type: Full Time

As a data scientist you will work directly with engineers, sales, product and clients in order to translate business requirements to production level prediction models and algorithms.

What Youll do

Research and find creative solutions to a unique set of problems
Develop and maintain machine learning models and optimization algorithms from research to production
Develop data infrastructure and pipelines
Collaborate with engineers, sales, product and clients

Requirements:
Masters/Ph.D. in Computer Science, Electrical Engineering, Machine Learning, information systems engineering, or related field.
Strong knowledge in Python - a must.
5+ years of hands-on experience with developing & maintaining production class Machine Learning projects aimed towards solving business problems - a must.
Self-starter, fast-learner, self-motivated, able to think big and move fast.
Familiarity with statistical modeling techniques.
Experience in data analysis and visualization and strong knowledge in SQL.
Experience with A/B testing and simulations - an advantage.
Experience with spatial temporal data / time series - an advantage.
Experience with routing optimization problems - a major advantage.

This position is open to all candidates.

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8495555

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אירעה שגיאה בשליחת פרטיך למשרה

06/01/2026

Applied Data Scientist

חברה חסויה

Location: Tel Aviv-Yafo

Job Type: Full Time

Were looking for an Applied Data Scientist to join one of our product squads. Youll design, build, and deploy data-driven solutions that combine machine learning, statistical methods, and SQL/rules-based decision logic to power autonomous supply chain intelligence platform. Youll work closely with data science, engineering, product, and supply chain experts and own solutions end-to-end-from problem definition to production monitoring and iteration.
Responsibilities:
Deliver data science solutions end-to-end within a product squad: problem framing → data prep/labeling → modeling → deployment support → monitoring → iteration
Build, train, and improve ML models for supply chain use cases (e.g., inventory risk prediction, demand anomalies, root-cause analysis)
Define success metrics and evaluation plans with support from senior DS/PM; run error analysis and document learnings
Work with stakeholders to create and maintain ground truth (label definitions, labeling workflows, QA checks, feedback loops)
Implement hybrid decision logic by combining ML outputs with statistical methods and SQL/rules-based logic for robustness and explainability
Analyze large, multi-source operational datasets to identify trends, anomalies, and drivers of performance
Collaborate with software engineers to productionize solutions (batch and/or real-time), including testing, logging, and basic monitoring
Monitor deployed models/rules, investigate performance issues (data quality, drift, edge cases), and iterate based on outcomes
Contribute to team practices: reproducible notebooks/code, documentation, and experiment tracking

Requirements:
MSc in Computer Science, Data Science, Mathematics, Statistics, Engineering, (or equivalent practical experience)
3+ years of experience in applied data science / ML in a product environment (or equivalent practical experience)
Strong Python skills and experience with common DS libraries (pandas, NumPy, scikit-learn); familiarity with PyTorch/TensorFlow is a plus
Solid SQL skills (joins, aggregations, window functions) and comfort working with production data in a warehouse/lake
Experience building predictive or anomaly detection models and performing rigorous evaluation (baselines, cross-validation where relevant, error analysis)
Ability to translate business questions into measurable metrics and a clear analytical plan (with guidance when needed)
Experience working with messy real-world data: data validation, debugging pipelines, and collaborating on labeling/ground truth
Familiarity with taking models to production: packaging/hand-off to engineers, versioning, and understanding monitoring/drift concepts
Strong communication and collaboration skills with engineering, product, and domain experts; comfortable receiving feedback and iterating fast

This position is open to all candidates.

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8490201

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אירעה שגיאה בשליחת פרטיך למשרה

19/01/2026

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 Fiverr’s 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 Fiverr’s AI platform. Develop models and framework solutions for the group.

Equal opportunities:
At Fiverr, we prioritize diversity. We celebrate difference and embed it into every aspect of our workplace, from our community to our product. Fiverr is proud and committed to providing equal opportunity employment to all individuals regardless of race, color, religion, sex, sexual orientation, citizenship, national origin, disability, Veteran status, or any other characteristic protected by law. In addition, Fiverr will provide accommodation to individuals with disabilities or a special need.

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. At Fiverr, we’re not about checklists. If you don’t meet 100% of the requirements for this role but still feel passionate about the position and think you have the right skills and qualifications to excel at it, we want to hear from you.

This position is open to all candidates.

עדכון קורות החיים לפני שליחה

8443372

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