Were looking for a Data scientist Expert to join us
WHAT YOULL DO

Lead an applied research for AI-driven features in the platform
Cover a range of features - from leveraging LLMs to enhance customer investigation experience to novel usage of AI for cloud security
Collaborate with engineering teams to design, build, and maintain production pipelines
Work closely with the Security Research and Product teams to define research goals
Conduct experiments and evaluate the performance of AI models, algorithms, and techniques using real-world datasets and simulated environments
Stay abreast of cutting-edge AI methodologies, frameworks, and tools and apply them to improve security solutions' accuracy, efficiency, and scalability

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're looking for highly talented, experienced, passionate, and data-driven Senior Data Scientists.
Create and develop ML models to drive the company forward and support decision making; while using data driven insights about our product, customers, business goals
Work in a team and independently, understand business requirements and how they relate to and support business KPIs.
Research creative data-driven ways to solve challenging real-world business problems
Design, establish, maintain and evolve the companys machine learning (ML) models
Develop production-level, scalable ML pipelines and models
Collaborate with analytics, business and data engineering teams and bring a proactive approach to handling anomalies and abnormal behavior within our DWH
Use your background in predictive modeling, advanced statistical analysis, ML practices and techniques and time series modeling to build new features and products.

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 looking for a Mid-Level Data Analyst.
As a Data Analyst Real Estate, you will harness the power of data to drive strategic decision-making and help redefine the landscape of real estate technology. You will collaborate with cross-functional teams to develop insights that influence our product offerings and operational efficiencies.
:Responsibilities
Data Validation: Oversee the validation of both incoming data and output generated by the team to ensure accuracy and reliability in all data sets and analytics outputs and maintain high standards for data quality and integrity.
Internal Data Flow Optimization: Partner with your data team to enhance the internal flow of data. Focus on streamlining processes to ensure efficient data access and utilization across the company.
Collaborate with Cross-Functional Teams: Work with multiple teams and provide them with the needed data to drive decision-making processes.

We're seeking an expert Data Quality Analyst to join our Data and AI team. In this role, you will play a crucial part in ensuring the highest standard of data integrity and quality across our AI-driven platforms. You'll work closely with our Data Product Manager, Data Engineers, and Data Scientists to maintain and enhance standards in data accuracy, consistency, and reliability.
Responsibilities:
Collaborate on Data Quality Control Measures: Work alongside data engineers to define, execute, and refine data quality control measures.
Support Data Quality Analysis: Assist in analyzing data to identify trends, anomalies, and areas for improvement.
Own Data Quality Procedures: Help develop and maintain data quality standards and procedures for the work of the data scientists and data engineers.
Contribute to Data Quality Improvement Initiatives: Participate in projects aimed at data improvement, including identifying areas for improvement and possible solutions.
Monitor and Report Data Quality Issues: Establish and maintain a data monitoring and system, and contribute to the development of effective reporting mechanisms.
Engage in Cross-Functional Collaboration: Interact with various departments to understand their data needs and challenges.

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

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 a global leader of iLottery solutions and services to national and state-regulated lotteries.

We are part of the Group, an iGaming powerhouse with 1100 employees spread across 8 countries.

we pride ourselves on our People first culture. Not only has it been a core value in our organization for as long as we can remember but it also runs in our DNA and is felt in every aspect of our operations.

The Core Product department owns the groups product strategy and is looking for a Data Product Manager to be part of data product team and coordinate the development of the data products spanning the central data lake, modern reporting & analytical tools, and automation.

The chosen candidate needs to be passionate about designing robust data-driven products to deliver insightful analytics and digitalization for efficient processes across the group and its customers.
What You'll Do
Responsibilities: Be a Data expert and have a deep understanding of how the data works; data producers, ELT/ETL process, data consumers, data quality, data architecture, analytics, machine learning, and cloud services.
Leading the entire Data product lifecycle: product roadmap, maintain frequent communication with different clients to understand business needs and translate these to PRDs, Features and User Stories, Interface with data engineers and QA, finalize the delivery and launch of innovative products.
Work closely with the rest of the product organizations on new initiatives to facilitate the requirement gathering process early on.
Contribute to the overall data architecture, including the investigation of data assets, technical platforms, integrations, and processes across functions, documenting the knowledge gathered.
Be a hands-on product manager involved deeply in the day to day of the data engineering team.
Oversee implementation and release workflow and deadlines.
Responsible for the Agile framework (dailys, sprint planning, retrospective).
Work with Marketing to provide Data & BI platform awareness and guides - both internally and externally.

Required Data Analyst
Description
What makes us unique?
This is a special place with a unique combination of brilliance, spirit, and just all-around great people. Here, if youre willing to do more, your career can take off. We are a leading SaaS company for the field service industry, one of the most recession-proof and lucrative industries today.
We are located in the heart of Tel Aviv, just a short walk from Rothschild Boulevard. Youll find everything you need to focus or work collaboratively with your colleagues in our brand-new, beautifully designed open office space. When were not hard at work, you will find us in our awesome game room with a ping pong table, a comfy lounge, and video games for the ultimate afternoon break. We recognize you have a life outside the office, our workweek is flexible and hybrid, but you wont want to miss happy hour!
Who are you?
You are a highly analytical and detail-oriented individual who is passionate about data and its ability to drive business decisions.
You have a strong understanding of data modeling and are comfortable working with large and complex data sets.
You are a self-starter and a can-do approach who is able to work independently and as part of a team, and you have excellent communication skills that allow you to clearly and effectively communicate data insights to non-technical stakeholders.
So, what will you be doing all day?
Collect, process, and analyze large amounts of data (specifically marketing, sales, operations & CS) to identify trends, patterns and insights with different stakeholders (Israel and US).
Develop dashboards, reports, and alerts to visualize data and communicate findings to stakeholders
Work with cross-functional teams to develop and implement data-driven solutions to business problems
Perform ad-hoc analyses to support strategic initiatives and business decisions
Develop and maintain data models and data pipelines to ensure data accuracy and consistency
Monitor and maintain data quality, identify data inconsistencies, and work with stakeholders to resolve issues
Identify opportunities for process improvements and automation
Stay up-to-date with industry trends and best practices in data analysis and visualization.