לוח משרות דרושים Data Scientist במרכז

We are looking for a talented AI Applied Researcher to help us develop advanced AI solutions that will empower impactful projects. The Data Science team leads the AI research and innovation efforts of the company, and is focused on pushing AI boundaries to enhance the product and optimize processes.

What Youll Do

Lead an applied research for AI-driven features in the platform
Research and optimization agentic flows to solve complex problems
Collaborate with engineering teams to design, build, and maintain production pipelines
Conduct experiments and evaluate the performance of AI models, algorithms, and techniques
Stay up to date with the latest developments in AI, machine learning, and related fields, focusing on LLMs, exploring how emerging technologies can be applied to improve products and services.

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

we are seeking an experienced data scientist to join our Model Validation team. The ideal candidate will bring a blend of data science knowledge and analytical skills, understanding in Finance and an understanding of the regulatory landscape of credit lending. As a core team member, you will work closely with model developers to assess model performance, data quality, conceptual soundness, and produce thorough, compliant documentation for regulatory review, ensuring our models meet the highest standards. You will be required to challenge the models, helping our company deliver high-quality validated models for loan pricing and underwriting.
Key Responsibilities:
Conduct thorough validation of ML models to assess performance, data quality, robustness, conceptual soundness, regulatory requirements and more
Conduct independent tests to assess performance and limitations, and establish model assumptions
Suggest and develop alternative models to challenge and improve existing models
Provide insights into the' strengths and weaknesses of models in terms of Data Science methodology and Finance as well as recommend practical solutions.
Prepare comprehensive validation documentation
Support the ongoing monitoring and improvement of existing predictive models
Stay updated on the latest research in ML credit risk modeling and financial news, ensuring that our practices align with industry standards.

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

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.

We are seeking an experienced and analytical Intelligence Methodologist to join our new Gen AI team .
You will collaborate with analysts, product managers, data scientists and developers to design and optimize investigative workflows, ensuring our solutions address real-world intelligence challenges effectively.
This is a unique opportunity to combine your expertise in intelligence methods with cutting-edge conversational Gen AI technology.
you will:
Fostering cross-functional communication and bridging collaboration between Product Management, Data Science, and Development teams to design knowledge structures, training logic, and investigative methodologies that drive LLM-based conversational AI.
Develop and curate high-quality domain-specific datasets for training and evaluation.
Communicate findings, progress to stakeholders, and provide recommendations for further enhancements.
Provide expert knowledge and insights to ensure the LLM agent understands and processes domain-specific language accurately.
Design, document, and refine methodologies for conducting intelligence investigations.
Train intelligence analysts on the use of methodologies and tools.
Create documentation and training materials to support effective adoption of workflows.
Collaborate with internal teams and external partners to understand operational requirements.

At our company, we build AI-powered training experiences that simulate real-world conversations using speech and generative AI. Conversation quality is at the core of our product - how realistic, effective, and consistent an interaction feels directly impacts how well people learn. Were looking for an NLP data Scientist with deep expertise in conversational AI to help define, evaluate, and continuously improve the behavior of our AI systems. This role is highly product- Embedded, working closely with product managers, Applied AI Engineers, and customer-facing teams to deliver the best possible conversation experiences.

As a Senior Data Scientist on our Applied AI team, you will join our Tel Aviv office and play a hands-on, end-to-end role in delivering innovative capabilities that help mayors and other city leaders understand their communities and improve the lives of millions worldwide. Reporting to the Applied AI Team Lead, you will collaborate with product, engineering, and fellow data-science teammates to turn cutting-edge research into production-ready solutions-quickly, reliably, and with maximum real-world impact. Youll work with a rich mix of data sources (including social media, news stories, survey results, resident feedback, and more) to create models and AI-powered features that scale.

Day to Day

Design, build, and deploy AI and machine-learning solutions, from data exploration through modeling, evaluation, and integration into customer-facing products and internal tools.
Optimize models for quality and scalability through feature engineering, hyper-parameter tuning, runtime profiling, and thoughtful architectural choices.
Build and maintain data pipelines using tools such as Airflow, Spark, and Databricks to ensure clean, reliable inputs for downstream models.
Collaborate closely with product managers, engineers, and designers to refine problem statements, iterate rapidly, and ship impactful features on schedule.
Champion technical excellence by conducting code reviews, sharing best practices, and mentoring teammates across data science and engineering.
Stay current with the latest developments in AI-including LLMs, RAG systems, and AI agents-and proactively propose ways to incorporate new techniques into our workflows.
Work an in-person or hybrid schedule, spending at least three days per week in our Tel Aviv office.

Rakuten Viber is one of the most popular and downloaded apps in the world. Working with us provides a unique opportunity to influence hundreds of millions of our users and to be part of the journey that makes us a super-app. Our mission is to make people’s lives easier by enabling meaningful connections, from precious moments with family and friends, through managing business relationships to pursuing their passions. Connecting people across the world is a complex problem with many machine-learning applications. The purpose of this role is to implement mathematical models and algorithms to solve complex business problems. Successful outcomes will significantly impact our hundreds of millions of daily active users around the globe. As a Data Scientist, you will work in a highly collaborative environment with extensive amounts of data to research and develop deep learning models in various domains, such as ads optimization, customer data platform and prediction of user behaviour. You will apply and analyze these algorithms at scale. You will have a chance to grow and develop professionally by owning data-driven projects from the research phase to production, collaborating with highly experienced researchers.

Responsibilities:

* Develop classical and deep learning models that directly impact company goals.
* Find solutions to complex problems in social network infrastructure, understanding data generation processes and big data challenges.
* Analyze and leverage extensive application data to enhance model performance and accuracy.
* Work with partner teams to design and implement classification and prediction solutions for given objectives, presenting them clearly.

Advantages:

* Publication in peer-reviewed conferences or journals on reinforcement learning, deep learning, and machine learning.
* Experience in developing deep learning graph model solutions.
* Experience with managing and utilizing datasets at the scale of 10s of TB.
* Strong passion for machine learning and investing independent time towards learning, researching, and experimenting with new innovations.
* Strong business acumen or prior industry experience within the social media or messaging space.

As a Data Scientist, you will work in a highly collaborative environment with extensive amounts of data to research and develop deep learning models in various domains, such as ads optimization, customer data platform and prediction of user behaviour. You will apply and analyze these algorithms at scale.
You will have a chance to grow and develop professionally by owning data-driven projects from the research phase to production, collaborating with highly experienced researchers.
Responsibilities
Develop classical and deep learning models that directly impact company goals.
Find solutions to complex problems in social network infrastructure, understanding data generation processes and big data challenges.
Analyze and leverage extensive application data to enhance model performance and accuracy.
Work with partner teams to design and implement classification and prediction solutions for given objectives, presenting them clearly.

We are looking for a forward-thinking Data Scientist with a passion for Generative AI (GenAI) and emerging AI technologies. This role is ideal for those who thrive in rapid prototyping, proof-of-concept (PoC) development, and iterative experimentation. You will work across multiple projects, transforming innovative ideas into practical AI solutions while engaging with clients for feedback and improvement.
Responsibilities
Generative AI Innovation & Research: Design PoCs with LLMs, RAG, RL, and agent-based AI. Apply emerging AI methods to real-world business needs.
Prototyping & Implementation: Translate research into scalable prototypes and production solutions. Ensure models are efficient, adaptable, and enterprise-ready. Lead integration, A/B testing, and phased rollouts.
AI Engineering & Deployment: Architect scalable GenAI solutions for banking. Own the full lifecycle: deployment, monitoring, incident response. Build dashboards, detect model drift, and integrate feedback loops.

As a Senior Data Analyst , youll be a key part of our Data Group, working alongside top-tier data analysts, data scientists, and data engineers.

Youll play a central role in shaping how data drives our product, impacting hundreds of thousands of users by turning complex data into actionable insights.

Data is at the heart of everything we do . In this role, youll help optimize key KPIs, enhance data pipelines, and enable smarter, data-driven decisions across the company.

What Youll Actually Do:

Own product analytics end-to-end for a core dataset within Data Group, serving as the primary authority on analytics for your teams data, with autonomy to define standards, methodologies, and direction.
Lead advanced, impact-driven analyses across the full lifecycle of the dataset - from supplier ingestion and enrichment logic through algorithms, product usage, and customer impact.
Work closely with Product, R&D, and Data Engineering to shape enrichment logic, guide decisions, and translate complex data problems into actionable insights.
Build and own core dashboards and analytical tools that become a trusted, day-to-day foundation for decision-makers working with your dataset.
Drive data initiatives that measurably improve data quality, product performance, user experience, and business outcomes for your domain.

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

we are a leading creative technology company on a mission to empower creators and brands to bring their vision to life with video. Offering cutting-edge AI tools and models for image, video, and voiceover creation, alongside high-quality creative assets and powerful editing tools, our company enables creators to stay on trend, and achieve their creative goals. Trusted by over 30 million creators worldwide and top brands including Google, Amazon, Microsoft, and Versace, our company provides a seamless, subscription-based platform with a global license, giving creators everything they need to produce professional video content efficiently. We are seeking a passionate and data Scientist to join our dynamic team. This role is ideal for someone who is product-oriented, thrives in a fast-paced environment, and is focused on delivering tangible value to our users. The ideal candidate will bring a blend of technical expertise, creativity, and a love for music and art to our team. Wake up for this:
* Design, develop, and deploy Machine Learning algorithms from inception to production, leveraging machine and deep learning frameworks
* Build tools and infrastructure for the team, mentor team members
* Work collaboratively with product managers to define problems, identify solutions, and iterate on feedback to refine those solutions.
* Deliver end-to-end Machine Learning -based features at a rapid pace, ensuring high-quality and impactful user experiences.
* Engage in research and application of cutting-edge technologies, including Multimodal models, and large language models (LLMs), to drive innovation within our platform.
* Contribute to developing recommender systems and search functionalities, enhancing user engagement and satisfaction.

As a Data Scientist at Meta, 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 Meta, 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
Defining new opportunities for product impact Influencing product and sales to solve the most impactful market problems
Apply your expertise in quantitative analysis and the presentation of data to see beyond the numbers and understand how our users interact with our growth products
Work as a key member of t.