Security represents the most critical priorities for our customers in a world awash in digital threats, regulatory scrutiny, and estate complexity. Our Security aspires to make the world a safer place for all. We want to reshape security and empower every user, customer, and developer with a security cloud that protects them with end to end, simplified solutions. The company`s Security organization accelerates our mission and bold ambitions to ensure that our company and industry is securing digital technology platforms, devices, and clouds in our customers heterogeneous environments, as well as ensuring the security of our own internal estate. Our culture is centered on embracing a growth mindset, a theme of inspiring excellence, and encouraging teams and leaders to bring their best each day. In doing so, we create life-changing innovations that impact billions of lives around the world.

Come and be part of the team building 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 da

ta breaches on their networks.  From detecting and disrupting nation state actors to huge ransomware actors in action, our research team brings deep knowledge of the attacker landscape and tradecraft to create the innovations necessary to uncover and protect against even the most well-funded attacker.
We are seeking an experienced security researcher who is excited by finding new attacks to join our Israeli research team and focus on detecting and disrupting sophisticated enterprise attacks. The job includes researching novel attack techniques, big data analysis of our rich sensor data, identifying necessary optics for detecting malicious behaviour and crafting detection and protection logic to ensure compromise does not go undetected.

Responsibilities:
Conduct in-depth investigation and research of data across multiple endpoints and additional sources, to identify threats and sophisticated attack incidents.
Keep up-to-date with latest trends in cyber attacks and create robust, sophisticated detection logics across the entire kill-chain.
Collaborate with product management, security and engineering teams across the company to design innovative solutions and new disruption capabilities, and validate their effectiveness using a data-driven approach.
Collaborate with data science teams to understand, identify and implement detection gaps, capabilities, assumptions, and improvements
Demonstrate thought leadership, be able to engage and enlighten others through compelling meaningful content and informative sessions.

We are looking for an experienced Senior Data Engineer to join our 'Data & AI' group. As a key member of our team, you will play a crucial role in designing and building data models, developing infrastructure, and optimizing data processes to support our data analysis, data science and engineering teams. You will collaborate with various stakeholders to ensure efficient data ingestion, processing, and analysis, contributing to the overall success of our data-driven initiatives.
Key Responsibilities:
Design and build robust data models and infrastructure to support data science and engineering teams.
Develop and optimize data processes, including ETL/ELT pipelines, for efficient data ingestion and processing.
Identify and understand business processes to derive actionable insights from the data.
Collaborate with BI analysts to create comprehensive reports and dashboards.
Implement and maintain scalable data solutions in a high-volume production environment.
Utilize modern technologies such as M3DB, Open-Search, Grafana, etc., for data processing and analysis.
Lead design initiatives for new products and contribute to best practices.
Work closely with cloud providers like AWS for data storage, computation, and orchestration.
Stay updated with advancements in data engineering, big data, and cloud technologies.

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 Collaborate with cross-functional teams to understand business requirements, data needs, and project priorities, ensuring alignment of data engineering and BI initiatives with strategic objectives Work closely with business users to define KPIs, metrics, and performance indicators, ensuring alignment with strategic objectives and business priorities Develop and maintain interactive dashboards, reports, and data visualizations using BI tools such as Power BI, Tableau, or similar platforms Extract, clean, transform, and load (ETL) data from various sources such as databases, APIs and spreadsheets to support reporting and analysis activities Perform in-depth data analysis to identify trends, patterns, and insights that drive business decisions and improve operational efficiency Provide training and support to end-users on BI tools and dashboards, empowering them to self-serve and explore data-driven insights Be committed to diversity, equity, and inclusion, with a passion for promoting fairness and equality in lending practices 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 computer science, Engineering, Mathematics, Statistics, or related field - Must (Advanced degree an advantage)
* 3+ years of experience in business intelligence, data analysis, or a related role, preferably in a consulting or corporate environment- Must
* Proficiency in BI tools such as Power BI, Tableau, AWS QuickSight, or similar platforms, with hands-on experience developing interactive dashboards and reports Must
* Strong analytical skills, with the ability to analyze complex data sets , draw meaningful conclusions, and communicate insights effectively to stakeholders - Must
* Knowledge of data visualization best practices , including design principles, usability, and accessibility standards - Must
* Familiarity with programming languages such as Python or R for data analysis and visualization
* Ability to collaborate with cross-functional teams and stakeholders at all levels of the organization
* Strong attention to detail, with a focus on data accuracy, completeness, and reliability
* Ability to work independently and as part of a team in a fast-paced environment
* Exhibit problem solving skills, strategic thinking, and anticipate future trends and challenges A Bonus
* Familiarity with Fair Lending regulations such as the Equal Credit Opportunity Act (ECOA), Fair Housing Act (FHA), and Home Mortgage Disclosure Act (HMDA) or other consumer financial protection laws and regulations preferred
* Certification in business intelligence, data analytics, or related field an advantage
* Experience in the financial service sector an advantage
* Experience with big data technologies and frameworks for large-scale data processing and analytics an advantage
* Understanding of industry-specific data and business processes in sectors such as finance and credit an advantage
* Experience with data modeling, data warehousing, and ETL processes an advantage
*  Experience working with cloud-based BI solutions such as Microsoft Azure, AWS, Google Cloud an advantage Why join us Cross River Technologies develops software infrastructure for the fintech industry. Providing innovative technological solutions f

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 data Engineer to work on data processing pipeline and lead our data lake and data warehouse building, to help to deliver more insights and scale our data infrastructure. You will have a chance to contribute to the company's evolving culture, bring innovative approaches and learn from your talented colleagues.
Designs and develops programs and tools to support data ingestion, curation, and provision of complex enterprise data to achieve analytics and reporting on our current technology stack Designs and builds data extracts, integrations, and transformations Provides successful deployment and provisioning of data solutions to required environments Designs and builds data architecture and applications that successfully enable speed, quality, and efficiency pipelines Interacts with cross-functional customers and development team to gather and define requirements Develops understanding of the data and builds business acumen Reviews discrepancies in requirements and resolves with stakeholders integrations are automated and have proper exception handling

Be a part of the team that is instrumental in constructing one of Microsoft's most exciting security solutions. In an era of increasingly sophisticated cyber-attacks, the Microsoft 365 Defender security suite has emerged as a vital tool for enterprises, enabling them to identify, scrutinize, counter advanced breaches and data intrusions within their networks and manage their security posture.

Our Israeli research team is looking for a security researcher who can help our customers, of all sizes, improve their security and protect them from cyber threats.

We value diversity and welcome candidates with different experiences and perspectives. If you are a team player who loves creating products for and with customers, come join us and be part of building a better world.

Responsibilities:
Performing attacker tradecraft research and threat landscape investigation across on-prem & cloud-based attacks spanning identities and applications.
Threat hunting to discover real-world advanced attacks and designing and implementing automated detection and disruption actions based on alerts and signals.
Contributing to active engagement with the security ecosystem through papers, presentations, and blogs.
Providing subject matter expertise to customers based on industry attack trends and product capabilities. 

We are looking for a Senior Applied Scientist to embark on our journey to build a Prime Video Sports tech team in Israel from ground up. Our team will focus on developing products to allow for personalizing the customers experience and providing them real-time insights and revolutionary experiences using Computer Vision (CV) and Machine Learning (ML). You will get a chance to work on greenfield, cutting-edge and large-scale engineering and science projects, and a rare opportunity to be one of the founders of the Israel Prime Video Sports tech team in Israel.

Key job responsibilities:
We are looking for a Senior Applied Scientist with domain expertise in Computer Vision or Recommendation Systems to lead development of new algorithms and E2E solutions. You will be part of a team of applied scientists and software development engineers responsible for research, design, development and deployment of algorithms into production pipelines. As a technologist, you will also drive publications of original work in top-tier conferences in Computer Vision and Machine Learning. You will be expected to deal with ambiguity! We're looking for someone with outstanding analytical abilities and someone comfortable working with cross-functional teams and systems. You must be a self-starter and be able to learn on the go.

Were looking for an exceptional data engineer to join our journey to create a data-based platform that will transform the shipping industry.
As a senior data engineer, you will take an instrumental part in laying the foundations and building the data infrastructure in the company, plan and implement the relevant data infrastructure and tools, be in charge of pipelining the companys data and be responsible for the integrity of the data as we scale up.
Responsibilities:
Contribute to the ongoing management of the data team platform including platform enhancements, capacity management, performance monitoring, troubleshooting and resolution of technical issues
Designing and optimizing data storage solutions, including data warehouses and data lakes.
Identify, design, and implement process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability.
Developing and maintaining data pipelines for efficient extraction, transformation, and loading (ETL) processes.
Participate in proofs-of-concept on platform innovation, and effectively transition and scale those concepts into production at scale through, engineering, deployment and commercialization.
Part of a cross-disciplinary team, working closely with other data engineers, software engineers, data scientists, data managers and business partners.

Our Azure Data engineering team is leading the transformation of analytics in the world of data with products like databases, data integration, big data analytics, messaging & real-time analytics, and business intelligence. The products our portfolio include our Fabric, Azure SQL DB, Azure Cosmos DB, Azure PostgreSQL, Azure Data Factory, Azure Synapse Analytics, Azure Service Bus, Azure Event Grid, and Power BI. Our mission is to build the data platform for the age of AI, powering a new class of data-first applications and driving a data culture.

​​Within Azure Data, the company`s Fabric platform team builds and maintains the operating system and provides customers a unified data stack to run an entire data estate. The platform provides a unified experience, unified governance, enables a unified business model and a unified architecture. ​

​​Do you enjoy delivering value in a dynamic environment, and looking to make a big impact? Are you passionate about creating a service that will affect millions of business users every day?

The company`s Fabric team is building the new generation of big data + AI platform all the way from ingesting to visual insights like dashboards and reports, combined with the power of our Power BI in Azure and Office 365.

This job is an opportunity to work on a new and exciting service that we are betting on, be part of a vibrant team, and get proficient in the world of apps and services.
Our Fabric and Power BI are among the fastest growing segments of the software industry today which hold fascinating technological challenges of creating fast and rich ways to analyze huge masses of data. We are a leading player in the BI market both in terms of market share as well as in thought leadership and BI is a key investment for our company.

We are looking for an outstanding software engineer to join our rapidly growing team. If you love finding creative ways to leverage new technologies to make meaningful business impact, leading other engineers on that path, versatile and willing to work at all levels of the code stack, like talking to customers for feedback, have an uncompromised passion for sleek and delightful experiences and designs, and have a strong background and passion for cloud engineering this is the best place for you to be.