לוח משרות דרושים Data Scientist משרה מלאה

As a Data Scientist, you will sit at the very core of our company. This isn't just a role about maintaining models-its about transformation. You will be the architect of a "learning machine," turning raw data into usable metrics and developing the statistical algorithms that power our business performance.

You will collaborate with Data Engineers and Product Managers to translate the "voice of the customer" into digital insights that define the industry standard.

Key Responsibilities:
Drive Actionable Insights: Analyze diverse data sources to create insights that directly fuel business growth.
Optimize Performance: Build advanced ML algorithms for bidding-utilizing classification and clustering to maximize campaign performance.
Innovate with GenAI: Leverage Generative AI techniques to query data for intelligent insights and automate decision-making.
Own the Lifecycle: Lead projects from initial exploration and Proof of Concept (POC) to scalable production environments.
Scalability & Performance: Ensure our data pipelines and ML models can handle large-scale, dynamic datasets with high efficiency.
Metric Ownership: Create and own key performance metrics that drive innovative product solutions.

As a data scientist, you will work on the very core of the company. Part of your role will be to turn raw data into usable metrics and develop new models and statistical algorithms to support our business. Together with other Data Engineers and Product Managers, you will translate the voice of our customer into best-in-class digital insights.

Responsibilities:
Analyzing data from various sources and transforming it into actionable insights that directly drive business growth.
Building machine learning algorithms for bidding - using classification and clustering to optimize campaign performance.
Leveraging artificial intelligence (GenAI) techniques to query data for intelligent insights and automated decision-making processes, unlocking hidden value from data.
Leading tasks from exploration to proof of concept (POC) and ensuring smooth transitions to scalable production environments.
Collaborating with data engineers and product managers to ensure the delivery of high-quality production results.
Creating and owning key metrics while developing new models and capabilities for innovative product solutions.
Optimizing scalability and ensuring the performance of data pipelines and ML models, handling large-scale, dynamic datasets.

Were looking for a Data Scientist to join our R&D department.
Why is this role so important?
we are a data-focused company, and our unique AI and machine learning capabilities are the center of our business.
As part of this role, you will create data models that help analyze the petabytes of data we receive from various sources, and research and develop new features and capabilities for our product solutions
As a data scientist, you will work on the very core of the company. Part of your role will be to turn raw data into usable metrics and develop new models and statistical algorithms to support out-of-the box requests from customers who want custom digital insights.

Responsibilities:
Design, implement, and improve ML and AI models to drive business outcomes across multiple domains, such as recommendation systems, image recognition, ChatBot, etc.
Own the end-to-end ML lifecycle: data preprocessing, feature engineering, model training, validation, and deployment.
Expert level in designing evaluation pipelines to prove performance, scalability, and consistency
Leverage generative AI and LLMs to enhance existing workflows and explore new product opportunities.
Collaborate with Product, Engineering, and Analytics teams to align modeling efforts with business needs.
Clearly communicate complex findings and model insights to stakeholders.

We're looking for a seasoned Senior Data Scientist to be a hands-on technical powerhouse and strategic driver on our team. You wont just build models; you will personally architect and implement the next generation of our decision engines, owning our most complex modeling challenges from whiteboard to production.

As a senior, hands-on member of the team, you will be a go-to expert. While you'll guide and mentor other data scientists, your primary focus will be on leading by example: executing on high-impact projects that define our competitive edge and directly influence our revenue. You'll contribute to the roadmap, not just follow it.


What Youll Do

Architect & Build: Lead the architectural design and hands-on implementation of our most critical ML models, tackling complex challenges in auction dynamics, user valuation, and more at a massive scale.

Influence Strategy: Contribute to and influence the data science roadmap in collaboration with Product and Engineering, ensuring our efforts are focused on maximum business impact.

Outsmart the Competition: Lead the charge in our high-stakes auction environment where your models edge creates outsized financial returns. You will design and own the experimentation framework to prove your impact.

Elevate Our Technical Bar: Set best practices for modeling and coding, and mentor other data scientists through complex technical challenges, code reviews, and model design sessions.

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.

Were looking for a Data Scientist to turn complex data into actionable insights that drive product, operations, and business decisions.
You will own the full analytics and modeling lifecycle-from problem framing and data wrangling to experimentation, deployment, optimization and communicating your output to the customer.
Responsibilities
Partner with product, engineering, and business teams to define problems and success metrics
Explore, clean, and transform large, messy datasets from multiple sources
Build and validate statistical and machine learning models (e.g., classification, regression, time series, NLP, recommendation, anomaly detection)
Translate findings into clear narratives, dashboards, and recommendations that influence decisions
Productize models and monitor performance
Establish data quality checks and model governance (bias and drift monitoring)
Document methods, assumptions, and results; present to technical and non-technical audiences.

We are looking for an experienced ML/AI engineer to anchor our ML Platform team. You will lead the effort to productize our Large Language Models, transforming experimental code into robust, efficient services. Your goal is to build the infrastructure that allows our Data Scientists to move fast without breaking production.

What you'll be doing:
Model Development & Optimization

Fine-tuning & Engineering: Develop and fine-tune LLMs/classic models for specific medical tasks (condition detection, dialogue systems) using internal datasets.
Research to Production: Partner with Data Scientists to develop experimental code into scalable, production-ready modules.
Platform Engineering & Infrastructure

Pipeline Orchestration: Build and maintain complex ML workflows using Kubeflow Pipelines (KFP) or similar orchestration tools.
Internal Tooling: Develop and manage the internal Python ecosystem-libraries, SDKs, and utilities-that the Data Science team uses for daily development.
CI/CD & Automation: Write and maintain CI/CD scripts to automate the testing, versioning, and deployment of machine learning artifacts.
Production Standards & Integration

System Integration: Work with backend developers to integrate trained models/agents into the core application architecture.
Code Quality: Enforce high engineering standards through code reviews, ensuring that research code meets production reliability and maintainability requirements.
Requirements Engineering: Translate evolving data science requirements into concrete infrastructure and platform features.

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.

we are seeking a talented data Scientist to join our team. In this role, you will develop and implement ML models to support risk assessment and decision-making processes. The ideal candidate combines strong analytical skills with practical experience in building and deploying Machine Learning models in a financial or fintech environment. Responsibilities:
* Develop, validate, and implement Machine Learning models (Regression, Classification, Supervised/Unsupervised).
* Analyze large datasets to extract insights and support decision-making.
* Collaborate with cross-functional teams to integrate models into production systems.
* Apply Gen-AI techniques where applicable to enhance model performance.
* Document model development processes and results.

Join an amazing team driving cutting-edge AI solutions in the fintech industry, primarily focused on evaluating risk for lending products.
This Principal role requires an exceptional blend of deep research, architectural mastery, and a powerful innovation mindset to pioneer new capabilities and deliver high-quality, end-to-end AI systems that shape the product direction for the next 5-10 years.
Responsibilities:
System Architecture & Ownership
Own projects from conception to production, collaborating globally with partners to deliver complex projects.
Define the vision and direction for end-to-end solutions, serving as a thought leader on execution that brings immediate value and solves for the long-term vision.
Deliver robust, high-performance AI/ML system designs that meet critical requirements (latency, throughput, cost, maintenance).
Drive cross-functional end-to-end design architecture.
AI/ML Development & Leadership:
Lead the full cycle of big data exploration, including hypothesis formulation, advanced predictive statistical modeling, and algorithm development across complex, large-scale data.
Mentor existing Data Science teams, influence AI-driven product design and strategy with partner architects, and assist in the definition of roles and training needs.
Innovation & Research Strategy
Pioneer innovative Proof of Concepts (POCs) to show the way for where Fintech products should go over the next 5-10 years, focusing on high-impact solutions like Explainable AI, Homomorphic Encryption, or advanced Behavioral Analytics.
Apply research to create high-impact solutions and represent the teams innovation to the wider organization.
Act as a Consultative Business Facilitator, exploiting revealed insights and providing entrepreneurial guidance for business stakeholders.

Were looking for a Data Researcher to join the AI Research Team and spread our power. In this role, youll push the boundaries of data security and insight extraction in cloud environments. You'll be at the forefront of developing sophisticated methods to classify and secure sensitive data, addressing challenges like unstructured data and document files. Operate at a large scale and collaborate with some of the largest customers in the world.
WHAT YOULL DO
Develop advanced classification tools and methodologies to accurately identify sensitive data stored in cloud service providers like AWS, Azure, and GCP.
Research and analyze sensitive data, including the identification of Personally Identifiable Information (PII) and secrets such as passwords and API tokens, across both structured (e.g., JSON, CSV) and unstructured formats (e.g., code, text).
Identify and assess data security risks and use cases within cloud environments.
Collaborate with data scientists, engineering, and product teams to drive data-driven product decisions for large-scale projects, working closely with our biggest customers.
Leverage Large Language Models (LLMs) and advanced AI technologies to enhance data processing and analytical workflows, improving efficiency and accuracy.