לוח משרות דרושים Data Scientist

We are looking for a Data Scientist.
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 looking for a Data Scientist- Autonomous.
The Research and 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 looking for a Customer-facing Data Scientist.
As a data scientist team member, you will work at the forefront of the data world, optimizing predictive models and assisting our clients to use those predictions to affect their business.
Together with the team, you will be continuously helping our clients achieve their business goals, and reinforce the value of modules, and the ease of use of our platform.
You will handle complex data science challenges using state-of-the-art techniques such as custom loss-functions, auto-encoders, embeddings, LSTM, and many more.

We are looking for a Data-Scientist who will join our Biostatistics group in Israel.
The Data Scientist will work in a multi-disciplinary environment involving software engineers, physicists, algorithm engineers and physicians.

This full-time position is reported to Senior Manager, Data Scientist and located at our R&D center, Haifa, Israel

ESSENTIAL DUTIES AND RESPONSIBILITIES:
Develop machine learning models to extract data from complex documents, such as electronic medical records (EMRs).
Perform survival analysis using state-of-the-art methods.
Collaborate with medical experts to enhance medical datasets, lead discussions, understand project needs from partners, and integrate their domain knowledge into production algorithms.
Work closely with engineers and scientists to incorporate data analysis methods into products.
Provide stakeholders with entrepreneurial guidance to interpret findings, build on them, and fully exploit their potential.
Write specifications and prepare presentations for patents, regulatory submissions, academic conferences, and other scientific publications.
Actively participate in the full cycle of iterative big data exploration, including hypothesis formulation, algorithm development, data cleansing, testing, insight generation, and visualization.
Apply proven methods and hacking skills to work with diverse data types, scales, and big data, exploring and extrapolating data-driven insights using advanced predictive statistical modeling and testing on cleansed data from various sources.

We seek an analytically driven and strategic Revenue Operations Manager to join our team.
This role will be a critical partner to our C-level executives and revenue-focused leaders, leveraging data to identify growth opportunities, optimize processes, and drive actionable insights that enhance the customer journey and revenue performance.

we are looking for a Data Scientist to join our expanding data group. As part of our Data Science team, you will tackle complex challenges, from research to production. You will develop novel and innovative machine learning models to address one of the world's most significant clinical issues: cardiovascular disease. Your work will directly contribute to improving healthcare practices and enhancing the well-being of individuals.
Responsibilities:
Ownership of Predictive Modeling Projects: Design, implement, train, and monitor machine learning models, ensuring they are production-ready.
Research and Experimentation: Investigate and experiment with machine learning, optimization, and statistical algorithms to solve real-world problems that have a meaningful impact on healthcare.
Collaboration with Product Teams: Translate clinical research findings into actionable digital insights and work closely with product managers and developers to integrate solutions into existing systems.
Code Implementation: Write efficient, maintainable code for algorithms and models, focusing on practical application and performance optimization.
Agile Innovation: Quickly turn ideas into prototypes and solutions in a dynamic, research-oriented environment.

Develop AI Security Insights - Leverage advanced statistical and machine learning techniques to detect threats, anomalies, or vulnerabilities in AI-driven cloud environments.
Build and Optimize ML Models - Design, train, and evaluate models (including LLM-based solutions) for security-focused use cases, ensuring high performance and scalability.
Data Exploration & Feature Engineering - Conduct deep dives into complex datasets from various sources, transforming raw data into actionable features for robust model development.
Continuous Learning & Adapting - Stay current on the fast-paced AI landscape, enterprise use cases, and emerging threat vectors; adapt existing models and pipelines accordingly.
Cross-Functional Collaboration - Work closely with other data scientists, product architects, software engineers, and security experts to translate business needs into data-driven solutions and implement them into production pipelines.
Job Id: 22510

We are looking for a strong, hands-on Data Scientist to join our ThreatCloud AI group.

In this role, you will join a R&D team that researches, designs, and develops Zero Day prevention solution, and provides state of the art AI based prevention of malicious and phishing attempts on a global scale.

This is a unique opportunity for you to gain expertise and experience utilizing vast data collection, and to deliver game changing results in the Cyber Security realm

Key Responsibilities
Join the research and development of new innovative capabilities for cyber security, involving advanced AI and Algorithms.
Quickly iterate on design approaches and POCs based on data-driven research and user feedback.
Design and develop a novel data-driven solutions that have the potential to deliver game changing results involving advanced AI and Algorithms.
Enjoy the work and knowledge of Cyber Researchers, Analysts, Fellow programmers and Data-Scientist to deliver machine learning and analytics solutions.
Push the solutions all the way to a large scale production systems. Understand the architectural constraints of such systems and work with a cross-organizational engineering and product team to quickly transition from prototype to a scalable robust implementation.
Job Id: 22431

About the role:
Youll become an expert on online fraudsters behavior: review, debate, and research case studies in to get into the fraudster's mindset and anticipate their next move.
Cultivate new paths for fighting fraud, and take part in building our cutting-edge technology - writing production code to implement our insights and logic into the decision-making system.
You are - a goal-oriented, fast, and innovative thinker, aiming to solve complex challenges with lots of creativity.
You have strong attention to detail, knowing when to dive deeper and when the juice aint worth squeezing.
Invent, design, and implement attributes/features in and above our automated human and machine learning model, using SQL and Python.
Play a central part in Forters business cycle. Meet customers and collaborate with marketing/business initiatives.
Find solutions to problems supposedly unsolvable by thinking like a hacker.
Collaborate with a team of A-players analysts, data scientists and engineers to develop the next generation of Forters technology.

We're looking for a sharp and passionate Data Scientist to join our top-notch Data Science team.
Using your technical and analytical skills, your mission will be to develop Data Science models in purpose to directly impact the business KPIs in various areas.
Responsibilities:
Develop data science models to support business decision-making and improve KPIs across various areas.
Analyze complex data sets to identify trends, patterns, and insights.
Continuously monitor and improve model performance through testing and experimentation.
Execute projects end-to-end from requirements gathering, data mining, and exploration up to full implementing in production
Collaborate with cross-functional teams including product, engineering, and marketing to identify data-driven solutions.
Communicate findings and insights to non-technical stakeholders in a clear and concise manner.
Stay up-to-date with the latest advancements and trends in data science and machine learning.
Creating a framework of technical standards and procedures.

We are seeking for a talented AI/ML developer with strong focus on Python expertise and hands-on experience in AI/ML models to join our Data Science group. The Data Science group plays a pivotal role in driving the execution and delivery of advanced AI and modern Machine Learning solutions, that empower impactful projects to our target sectors.
Key Responsibilities:
Take part in all development aspects, from concept to production, of AI/ML models and LLM-based features (agents development)
Stay up to date with state-of-the-art research in the field of LLM and apply relevant advancements to improve our solutions
Mentor new team members and share your expertise to strengthen the teams collective knowledge

We are looking for talented individuals with a strong background in data science, machine learning, and financial/investment strategies to join our dynamic Data Science & Machine Learning team. Whether you're passionate about researching and implementing cutting-edge algorithms to power investment strategies or focused on developing robust data infrastructure, this is the opportunity for you.
Responsibilities include:
Create data-driven features that will integrate into key products, including machine-learning models and systematic investment strategies.
Research, design, implement, and deliver advanced analytics-based algorithms to solve critical business problems.
Work end-to-end on projects, from data extraction, feature selection, and engineering to model development, evaluation, and iteration.
Collaborate with R&D teams and business stakeholders to ensure alignment and impact.
Take ownership of infrastructure development, including creating scalable data pipelines, feature stores, utilities, and backtesting tools.