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We are looking for a Senior Data Scientist to lead strategic research initiatives focusing on our Auto loans asset class. This individual will be at the forefront of research, working hands-on to advance our models while also mentoring and collaborating with data scientists across the department.
Responsiilities:
Spearhead strategic research of new cutting edge Machine Learning models
Mentor and advise data scientists.
Design solutions for the companys core mission using Data Science methodologies from various domains
Work in a short life-cycle research and development environment
Generate and test working hypotheses in unexplored territory

Our unique research team is expanding, we are looking for smart and humble team members to join the team and solve complex problems. Our technical challenges include developing new trading strategies, improving the performance of our algorithms, finding new ways to beat the markets.
As an ML researcher you will collaborate with our R&D team to execute live trading strategies.
If you are looking to make an impact by putting into practice successful ideas and seeing immediately the outcome, make influence on financial performance this is a great opportunity.
In this role you will:
Mange and lead independent research applying ML/DL methods to a wide variety of datasets.
Creatively find new trading strategies
Work with other team members to optimize Algorithms

Required Data Researcher
Israel - Tel Aviv
About the role:
As a Data Researcher, you will own one of the companys most critical assets: the accuracy, robustness, and performance of what is widely recognized as the leading e commerce fraud decisioning system in the industry.
In this role, you are expected to think creatively and push boundaries. You will design smart logical and technical solutions to real and constantly evolving business challenges faced by some of the worlds largest and most sophisticated online retailers. Your work will operate at the intersection of deep data research, production systems, and real world impact.
You will also have exposure to key customers, working closely with them to deliver analytical insights and adapt solutions to their unique needs. This direct connection between research, product, and customer impact is a core part of the role.
You will join a high caliber, fast moving research group with a strong culture of excellence, curiosity, and ownership. We work in an informal, collaborative environment where strong opinions are welcome and great ideas move fast. The role offers meaningful growth opportunities, with clear paths toward both senior individual contributor and managerial tracks, depending on where you want to take your career.
Your work will directly shape our product, protect millions of consumers and merchants, and help define the future of trust in digital commerce.
What you'll be doing:
Invent, design, implement, and continuously refine the core decisioning logic and models that run in our live production systems
Research complex fraud patterns, adversarial behaviors, and emerging global threats at scale
Leverage rich and diverse datasets to generate actionable insights, build new system components, and advance feature engineering efforts
Develop, prototype, and automate tools and processes that improve the accuracy, scalability, and efficiency of our systems
Collaborate closely with Data Scientists, Analysts, Researchers, and Engineers to build the next generation of our AI driven technology.

We are looking for a Market Researcher (Maternity Leave Replacement) to join our Data Department.
In this role, you will be responsible for leading and delivering a wide range of consumer and business research initiatives, including quantitative surveys and qualitative in-depth interviews. You will work closely with stakeholders across the organization to uncover actionable insights that support data-driven decision-making.
We are looking for someone with a strong mixed-methods background and the ability to integrate diverse sources of insights into clear business recommendations. You are passionate about understanding customer behavior and connecting research findings with data to generate meaningful business impact.
You are results-oriented, able to ask - and answer - meaningful and impactful business questions, a self-starter, and have demonstrated success in leveraging analytics to drive high-quality research outcomes.
This role requires the ability to work both independently and collaboratively within the broader Data Department.
Prior experience with Qualtrics is considered a strong advantage
This is a temporary maternity leave cover position. Future opportunities may be considered, depending on business needs.
What am I going to do?
Leading end-to-end research projects, including building a research plan, designing research tools, data collection and analysis.
Designing and executing quantitative surveys using a range of social sciences methods.
Conducting statistical analysis of surveys through the lens of business impact and growth.
Designing and executing qualitative research - customer in-depth interviews.
Communicating results to key stakeholders and distilling actionable recommendations to support decision making.
Collaborate closely with team members from the market research and data teams.
Working with internal partners (including product, marketing, business and data teams) to identify and prioritize knowledge gaps in our understanding, and act as an internal consultant on research results implementation.

Required Senior Algorithms Researcher
Tel Aviv
We are using technology to transform transportation around the world. From changing a single persons daily commute to reducing humanitys collective environmental footprint - weve got huge goals.
As an Senior Algorithms Researcher, you'll join a team that explores the vast collection of relevant data and creates the optimization algorithms that drive our mass scale, complex, multi-dimensional automated dispatch.
What You'll Do:
Mathematically model the competing demands on our system.
Develop online algorithms for real-time decision-making, focusing on optimizing system utilization while maintaining a high quality of service for riders.
Design and implement highly efficient and scalable algorithmic solutions to power decision-making systems under large-scale, real-world operational demands.
Use sophisticated statistical methods to analyze demand, traffic and fleet performance, and generate insights that inform algorithm development.

Required Algo Researcher
Tel Aviv
We are using technology to transform transportation around the world. From changing a single persons daily commute to reducing humanitys collective environmental footprint - weve got huge goals.
As an Algorithms Researcher, you'll join a team that explores the vast collection of relevant data and creates the optimization algorithms that drive our mass scale, complex, multi-dimensional automated dispatch.
What You'll Do:
Mathematically model the competing demands on our system.
Develop online algorithms for real-time decision-making, focusing on optimizing system utilization while maintaining a high quality of service for riders.
Design and implement highly efficient and scalable algorithmic solutions to power decision-making systems under large-scale, real-world operational demands.
Use sophisticated statistical methods to analyze demand, traffic and fleet performance, and generate insights that inform algorithm development.

Required Senior Game Economy Manager
Description
We are the next generation of multiplayer gaming uniting people around the gaming world in the most realistic way, face to face.
You will be an essential part of the thinking and decision-making process behind our new product.
As our Senior Game Economy Manager youll design and manage the in-game economy, track player experiences, and leverage behavioral insights, mathematical models, simulations, and data analysis to optimize KPIs and maximize player fun.
(We work from our office in Tel-Aviv- not hybrid)
Responsibilities
Design, monitor, balance and lead the economy model and user experience from an economy point of view to drive players' engagement and improvements in game KPIs
Partnering closely with Product, LiveOps, Design, Analytics and Monetization to align strategy and execution.
Model and balance complex systems in the game to maintain a healthy and growing in-game economy
Control the pricing in the game - both for in-game currencies and real money
Recommend and design reward systems and monetization features that fulfill player needs while meeting business goals.
Perform data analysis and AB testing in order to always improve the game performance
Monitor important in-game economic KPIs and maintain a balanced economy.

This team builds the core scanning logic that allows our company to operate at true enterprise scale. Its mission is to expand data coverage and increase scanning efficiency by designing intelligent processing strategies, heuristics, and models tailored to different data types and environments. By making scanning faster, more scalable, and more cost-effective, the team enables our company to analyze vastly more data across customer estates-turning large-scale classification from a theoretical capability into a practical, affordable reality for organizations of any size.
What Youll Do
Lead applied research to improve large-scale data scanning, from hypothesis formulation to validation and impact measurement.
Investigate system and data behavior at scale to surface constraints and opportunities for smarter scanning.
Design heuristics and processing logic that scale the product while keeping classification quality as a north star.
Translate research findings into scalable, production-ready solutions under real system constraints.
Collaborate closely with data science, engineering, and product teams to influence product decisions through data-driven insights.

Were looking for a data-driven SEM specialist with strong analytical skills and hands-on experience to lead and optimize our activities across multiple channels and markets.
The role includes managing Search campaigns, analyzing performance data, and handling large-scale budgets in competitive environments. We're seeking a strategic thinker and proactive leader, someone who drives innovation, takes ownership of high-impact projects, and constantly looks for smarter, more effective ways to grow performance.
Responsibilities:
Plan, manage, and scale global PPC campaigns on Google Ads and Bing Ads, overseeing large budgets in competitive markets.
Monitor performance against business goals, report results, and continuously test new strategies, creatives, and growth solutions.
Track and analyze KPIs to generate actionable insights and optimize campaigns to improve performance and ROI.
Use strong analytical and business judgment to identify gaps, opportunities, and solve business problems.
Leverage BI tools to analyze business flows and collaborate closely with cross-functional teams.
Drive innovation through new ideas, opportunity discovery, and auditing business practices.

We are looking for a talented Data Scientist who is a strong team player to join our Data Science team.
As a Data Scientist, you will play a key role in shaping our analytics pipeline. Dive into diverse datasets, using ML algorithms, and lead end-to-end projects - starting from gathering requirements, through development, to deployment and presentation to stakeholders.
Your Python expertise, along with data-driven thinking, will contribute to predictive insights and innovative solutions.
Key Responsibilities:
Own end-to-end development cycle- from business understanding to development, deployment and monitoring
Develop, maintain and improve advanced AI/ML models with a wide range of tasks and diverse datasets (structured, text, images)
Interpret data using statistical techniques and leverage machine learning algorithms to drive actionable insights.
Collaborate with cross-functional teams, including engineers and product managers, to understand business challenges and design data-driven solutions.

We are seeking an experienced Data Team Lead to build, lead, and scale our data function. This is a hands-on leadership role that combines strategic thinking, technical excellence, and people management. You will build and manage a team of Data Engineers and Data Analysts, while working closely with senior management and cross-functional leaders to translate data into measurable business impact.
This role is ideal for someone who thrives in a fast-paced startup environment, enjoys influencing decision-making at the highest levels, and is passionate about embedding a data-driven mindset across the organization.
What You'll Do:
Lead and mentor the Data team, and support their professional growth while achieving impact goals of the marketing data structure such as: multi touch attribution model, creative analytics and automated data governance processes.
Define and own the data vision, roadmap, infrastructure, and best practices aligned with company objectives.
Act as a trusted data partner to executive leadership and senior stakeholders, influencing strategy through insights and analysis while promoting a strong data-driven culture.
Oversee the design, build, and maintenance of a scalable and reliable data warehouse.
Lead the design, implementation, and optimization of ETL/ELT pipelines to integrate data from multiple internal and external sources.
Ensure high standards for data quality, governance, integrity, and documentation.
Translate complex datasets into clear, actionable insights that support the different departments' needs and the company growth through operational excellence.
Support advanced analytics use cases including forecasting, experimentation (A/B testing), and performance measurement.
Review and elevate dashboards, reports, and analyses to ensure clarity, accuracy, and executive relevance.
Identify gaps in data collection and proactively propose solutions to improve visibility and decision-making.

Were growing fast, and our team is passionate about pushing AI engineering to new heights - solving complex problems in LLM training, inference optimization, reasoning, and agent orchestration at scale.
About the Role:
As a Machine Learning Engineer, youll work on cutting-edge
code-focused LLMs and AI agent systems
that power next-generation developer platform. Youll be at the center of research, model training, and productionization of intelligent systems that understand software deeply, collaborate with developers, and help automate engineering workflows end-to-end. Your work will immediately impact millions of engineers worldwide.
Responsibilities:
Push LLM Innovation: Research, design, and fine-tune domain-specific LLMs for code generation, refactoring, debugging, and multi-turn reasoning.
Agent-Oriented Development: Build multi-agent coding systems that integrate retrieval-augmented generation (RAG), code execution, testing, and tool use to create autonomous, context-aware coding workflows.
Production-Grade AI: Own the training-to-inference pipeline for large code models-optimize inference with quantization, distillation, and caching techniques.
Rapid Experimentation: Prototype and validate ideas quickly; leverage reinforcement learning, human feedback, and synthetic data generation to push accuracy and reasoning.
Cross-Functional Collaboration: Partner with product, engineering, and design teams to ship AI-powered features that help developers focus on high-impact work.
Scale the Platform: Contribute to distributed training, scalable serving systems, and GPU/TPU-efficient architectures for ultra-low-latency developer tools.

we are looking for a Senior Data Analyst.
As a Data Analyst you will be working with colleagues from various disciplines, such as - Product, Engineering, Marketing, Sales, Customer Success, Risk, Data Scientists within the team and other Data Analysts - on their KPIs, the way they observe information and the hardest questions each team is facing in order to drive insights and keep a data driven company.
You will play a key role in the ability of each team to keep scaling!
How your day is going to look, what you will be doing?
- Helping each team to take decisions based on data by:
Identify, analyze, and interpret trends or patterns in complex data sets to drive actionable insights
Define and implement KPIs across different teams
Accompany product features from tech design to feature performance
Translate product/business requirements to analytical logics, and create a very clear visualization which "tells the story" using a BI tool or other platform.