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Do you want to be a Data Engineer on an elite Data Science team? Do you want to build data solutions that power AI and Data Analytics of a global Security Product? Do you want your work to be impactful on millions of users?

Join us and become part of a winning Data Science team that builds the brain of one of our most exciting security products, our Defender for Endpoint (MDE). As cyber-attacks have become more sophisticated, MDE helps enterprises detect, investigate, and automatically disrupt advanced attacks and data breaches on their networks. Our team is responsible for developing and deploying Machine Learning (ML) models that protect organizations worldwide and owning Data Analytics systems that facilitate data-driven decisions and operational excellence.

If you are an excellent engineer with a background in Big Data, and are passionate about engineering for Data Science, we would like to talk to you!

Responsibilities:
Create and maintain robust Big Data pipelines for Analytics and ML systems.
Optimize performance of Big Data scripts and queries.
Create monitoring and reporting infrastructure.
Develop systems that facilitate Data Science activities such as Analytics and Feature Extraction.

Do you want to be a Senior Data Engineer on an elite Data Science team? Do you want to build data solutions that power AI and Data Analytics of a global Security Product? Do you want your work to be impactful on millions of users?

Join us and become part of a winning Data Science team that builds the brain of one of our most exciting security products, our Defender for Endpoint (MDE). As cyber-attacks have become more sophisticated, MDE helps enterprises detect, investigate, and automatically disrupt advanced attacks and data breaches on their networks. Our team is responsible for developing and deploying Machine Learning (ML) models that protect organizations worldwide and owning Data Analytics systems that facilitate data-driven decisions and operational excellence.

Responsibilities:
Create and maintain robust Big Data pipelines for Analytics and ML systems.
Optimize performance of Big Data scripts and queries.
Create monitoring and reporting infrastructure.
Develop systems that facilitate Data Science activities such as Analytics and Feature Extraction.

Required Data Scientist
About the Opportunity:
A top player in its game and is heading for an exciting year. In this role, you will take an integral part in the creation of a new and innovative SaaS product.
If you are a talented Data Scientist that likes to solve complex problems and looking for your next challenge we want you to join our team!
What You'll Be Doing:
Research, develop, and deploy a diverse array of machine learning models that operate in real-time and at large scale, with a primary focus on preventing and analyzing fraud attacks.
Perform data mining, exploration, and analysis.
Create data visualizations, reports, dashboards, and data audits.
Leverage predictive models to optimize customer experiences that will affect millions of users worldwide.
Creating automated anomaly detection.

We are looking for a highly motivated and experienced Principal Data Scientist to join our team! The Education Insights team in our Education builds and operates experiences to empower and delight learners and educators for the betterment of education of millions of users worldwide.

The successful candidate will have strong engineering capabilities with high Python proficiency and a deep understanding and experience in machine learning and AI. You will work closely with cross-functional teams to create cutting edge LLM-based experiences, make decisions using data and be responsible for developing innovative solutions that drive towards the future of AI in education. We are looking for enthusiastic and creative thinkers and doers to join us in meeting the challenge of shipping AI products that meet the needs of learners in a changing world.

Responsibilities:
Adopt, contribute to, and improve the teams existing technical stack and infrastructure to build differentiated features in the Education space.
Stay up to date with AI technology, advise on how we can adapt and embrace new technologies methodologies and ideas.
Provide hands-on technical work: design, analytics/modeling and fine tuning, dataset development, code reviews, development, quality assurance.
Build relationships with partners within our company (applied) Research Teams to bring innovation to new and existing products.
Foster a culture of inclusivity and disciplined data and software engineering practices to deliver business value, guided by data.
Creating and sustaining an effective team culture is extremely important to us. We value and promote a high trust environment where we work closely and effectively with others.
We emphasize a culture of continuous learning and so having a growth mindset and passion for learning is important. You should expect that your teammates will be invested in helping make you successful and expect the same in return from you. We recognize and celebrate the uniqueness of each person on the team and leverage our diversity to create more inclusive products for our customers.

We are The Data Science team, focused on Risk Management, our work is centered around compliance and due diligence, specifically Fair Lending and Anti Money Laundering by unmasking the bad guys and solving problems. Our team is working with vital analytics to ensure we are within the guidelines for banking regulations, managing the bank's exposure to loss and risk. Our team uses SAS, Python and various machine learning models to provide on-demand analysis. You will Manage a team that will design, develop, and implement predictive models, machine learning algorithms, and statistical techniques to assess fair lending risks and detect potential instances of discrimination Analyze large datasets and identify patterns, trends, and potential areas of concern related to Fair Lending practices Utilize advanced statistical methods to evaluate model performance, including model calibration, validation, and interpretation of results Collaborate with cross-functional teams to understand business requirements and develop data-driven solutions for Fair Lending compliance Develop and maintain of scalable data pipelines, data models, and analytical tools to support fair lending analysis and reporting activities Be committed to diversity, equity, and inclusion, with a passion for promoting fairness and equality in lending practices This position reports to the Fair Lending Data Science Manager
You have
* 5+ years of experience in data analysis, statistical modeling, and predictive analytics within the financial services industry, preferably in Fair Lending or credit decisioning - Must
* Bachelor's degree in Statistics, Mathematics, Data Science, Economics, or a quantitative field. - Must ( Advance degree an advantage) Proficient in Hebrew and English both written and verbal, sufficient for achieving consensus and success in a remote and largely asynchronous work environment - Must
* Strong knowledge of advanced analytics and machine learning techniques such as regression and classification algorithms including linear and logistic regression, k-nearest neighbors, support vector machines (SVMs) and other techniques
* Experience working with cloud-based data platforms and technologies such as AWS and Sagemaker for scalable data analytics and machine learning
* Strong technical proficiency in data science tools and programming languages such as Python, R, SQL , with experience in developing predictive models and machine learning algorithms
* Experience working with large-scale datasets
* Ability to communicate findings and recommendations to stakeholders
* Strong problem-solving skills while paying attention to detail
* Strong project management skills, with the ability to manage multiple projects, prioritize tasks, and meet deadlines in a fast-paced, dynamic environment
* Ability to facilitate collaboration to achieve project goals A Bonus
* 2+ years of experience in a leadership or management role an advantage
* Familiarity with Fair Lending regulations such as the Equal Credit Opportunity Act (ECOA), Fair Housing Act (FHA), and Home Mortgage Disclosure Act (HMDA) preferred
* Experience in Fair Lending analytics preferred
* Knowledge of regulatory compliance frameworks and industry guidelines for fair lending risk management an advantage
* Experience with machine learning techniques, such as decision trees, random forests, or gradient boosting an advantage
* Experience with data visualization tools such as Tableau, Power BI an advantage Why join us Cross River Technologies develops software infrastructure for the fintech industry. Providing innovative technological solutions for various financial services, including payments, credit cards, and loans. Globally, Cross River has 900 employees, 170 of whom are based in the R&D center at the Jerusalem offices. We offer a wide range of wellness benefits including ong

Data organization is at the heart of the telecommunications industry, helping the largest Telco operators in the world to modernize their data platforms, Our teams use the latest cloud technologies to optimally organize the data and build AI analytics solutions to provide valuable insights, create exceptional customer experience and drive significant growth.

Telco operators deal with zettabytes of data and hundreds of billions of data connections. We are leading their transformation to data-driven decisions by providing solutions and applying advanced analytics, Generative AI & machine learning.
Are you passionate about data and want to create amazing Generative AI & ML solutions and apply your Data Science and Analytics knowledge on the largest scale and the most sophisticated problems?
This is a hands-on position for a motivated and talented innovator. The Data Scientist designs and develops sophisticated machine-learning solutions and algorithms that provide insight from data.
If you are up to the challenge, join our team!


What will your job look like?
You will be a leader and source of knowledge/ subject matter experts in the Data Scientists group to design Generative AI/ML use cases and solutions.
You will be building innovative AI/ML models and POCs with clients
You will be integrating deeply with business leadership as a trusted and influential contributor to ensure maximum impact of Data Science / Generative AI /Machine Learning outputs
You will be engaged with partners and clients to develop new business and future AI/ML Use case catalogs.
You will support and showcase a long-term research agenda aimed at generating innovations to solve critical business needs and challenges
You will be working closely with internal and external groups, understand the needs, and work with the team to identify the solution using AI/ML models and use cases, working with the Pre-sales/sale on prospecting opportunities and the overall pre-sale cycle.
You will present results, including the preparation of patents and white papers and facilitating presentations during conferences.
Collaborate with our customer's business and IT teams to implement business and IT requirements through new data strategies and designs across all data platforms (relational, dimensional, and NoSQL)
You will hands-on working with the team and support them during the work life cycle, end-to-end flow from data research to creating the AI/ML Models and algorithms supporting the need to provide the best outcomes.
This is a full-time position.

an exciting Artificial Intelligence well funded startup in the heart of Tel Aviv (a short walk away from Azrieli train station). leveraging Machine Learning and Computer Vision to bring AI to optimize passenger journeys, making security screening accurate, fast and labor free.

Job Description
We are looking for new team members who share our passion for finding answers to difficult questions and new radical ways to build scalable and trustworthy data & analytics solutions, helping every team in the organization make faster and better decisions.

Data is the underlying asset of our vision. You will directly impact the core value of the product. Youll play a pivotal role in our ongoing mission to develop an advanced analytic pipeline capable of handling diverse data types and forms without manual intervention. Your expertise in advanced analytics will help provide predictive insights that drive business growth.

The successful candidate will turn data into information, information into technology insight that will promote us in the product and business levels. The main role is to interpret data and analyze results using statistical techniques and tools for providing ongoing reports. The Individual chosen for this position will have the opportunity to promote unique ideas, data collection systems and other strategies that optimize statistical efficiency and quality.

This position allows great exposure and growth opportunities in the company.

Responsibilities:
Data sets and subsets generation. Mapping business requirements to a well defined set of benchmarks and tests (building the data infrastructure to be used for the models)
Conducting precise measurement, comprehensive analysis, and insightful conclusions on overall business, technology and product activities
Defining technical requirements in collaboration with various organizational departments and ensuring their seamless implementation.
Proactively identify trends and opportunities for improvement while sharing your findings with a variety of stakeholders and management team.
delivering actionable insights and tools that help teams from across the organization to make impactful decisions.
Stay up-to-date with the latest trends and technology in the data industry.
Define automatic processes regarding to reports and deep analysis

We are seeking a highly skilled and motivated Cyber Data Analyst to join our dynamic team.
The ideal candidate will be proficient in working with both structured and unstructured data, utilizing a variety of databases including GraphDB, VectorDB, ColumnDB, Elasticsearch, and other NoSQL databases.
This role involves leveraging Python to explore data, extract insights, present trends, and make predictions.
Responsibilities:
Advanced Data Exploration: Apply Python and statistical tools to deeply explore structured and unstructured data across various database technologies (GraphDB, VectorDB, ColumnDB, Elasticsearch, and NoSQL).
Insight and Trend Analysis: Extract meaningful insights from complex data sets to identify trends, patterns, and anomalies.
In-depth Research: Research up-to-date threat-intelligence repositories and automate data enrichments into the platform.
Data-Driven Cybersecurity Analysis: Utilize advanced statistical methods and mathematical modeling to analyze data for potential threats and vulnerabilities, focusing on patterns and anomalies that could indicate security incidents.
Collaborative Insight Sharing: Work alongside cross-functional teams to communicate complex data findings. Prepare and present reports that translate intricate data insights into actionable intelligence for both technical and non-technical stakeholders.
Continuous Skill Enhancement: Stay updated with the latest statistical methods, data analysis techniques, and advancements in AI, including machine learning and deep learning, to continually improve cybersecurity data analysis practices.

We are looking for a talented Data Science Team Lead who will help design and manage data-driven strategies and algorithms within the companys core acquisition engine and deploy them end-to-end.

We hypothesize theories and prove them in production within hours (instant data gratification!). You will become the focal point of our data team and streamline processes, and will be responsible over company revenue streams.

If you enjoy a high level of autonomy in a fast-paced business and work environment within a growing organization - take a seat!

What you will do:
Lead and mentor a team of extremely talented and success-hungry Data Scientists.
Initiate & manage cutting-edge projects from inception to delivery, including developing structured and automated solutions.
Lead the data strategy: be responsible for planning, prioritizing and building the right data solutions to support business needs.
Apply your scientific knowledge and creativity to analyze large volumes of diverse data and develop algorithmic solutions and models to solve complex problems.
Identify and propose data science and algorithmic solutions for various product initiatives.
Use your excellent communications skills, both written and verbal, to explain technical concepts and analysis implications to senior leaders, and influence cross-functional teams to improve performance.
Partner with other departments (i.e. Management, R&D, Product) to support decision making.

We are seeking a talented Applied Scientist with excellent technical skills and a desire to make significant impact through data and research. A successful candidate will be self-directed, generate novel ideas, plan, experiment, implement and ship to production efficient Machine Learning and AI solutions.

Responsibilities:
Develop ML models to detect and disrupt cyber-attacks.
Stay informed about the latest advancements in Machine Learning, including Large Language Models, Graph Neural Networks and Anomaly Detection, and apply these to complex cybersecurity challenges.
Collaborate with security experts to integrate their knowledge into ML models.
Work with truly Big Data sources to distil data for training of ML models.
Integrate your ML models with production systems, follow the results and iterate.