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.

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 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

Were seeking a Data Specialist with strong analytics skills to join our Tel Aviv-based team and help shape our Large Language Model (LLM) capabilities. In this unique role, you'll own and architect the data tagging landscape . You'll go beyond performing tagging tasks to design and implement the processes and systems that will govern future data labeling efforts. You will leverage your expertise alongside Prompt Engineers and Product Managers. As you grow, you'll build and lead a team of part-time Data Taggers, ensuring consistency and quality in tagging processes.

Sound like your perfect fit? We want to hear from you!

As a Data Specialist, you will be responsible for owning data tagging foundation and ensuring top-quality data through hands-on tagging, system design, and collaboration. In this role, you will:

Perform hands-on data tagging to ensure accuracy and completeness, develop and implement tagging standards and guidelines, and work across various data sources to maintain consistent and high-quality tagging.
Design and establish foundational processes for data tagging, monitoring, and evaluation, develop a comprehensive tagging framework and best practices. Implement systems for continuous monitoring of data quality and tagging accuracy, create and maintain documentation, evaluate and improve tagging processes, and generate regular reports on tagging performance and metrics.
Inspire and lead a dynamic team of data tagging professionals, empowering their performance, and driving a culture of excellence amidst a fast-paced, ever-evolving environment.
Work closely with other departments to understand their data needs and ensure tagging processes align with goals. Communicate regularly with stakeholders on tagging initiatives and performance, and act as the primary point of contact for tagging-related issues and all monitoring and evaluation tasks, ensuring remains top in class.

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 growing and are looking for future workers who value personal and career growth, team-work, and winning!

As part of our rapid growth we are looking for a Product Analyst to join the data group in our product department.

What your day will look like:
Collaborate with members of the Product, Engineering and Data teams to improve business decisions using data, identify process improvement opportunities.
Assist the product team in improving presented value, propose system modifications, and devise data governance strategies.
Initiate analyses and generate reports to assist with feature tracking, experiments, and product/platform health monitoring.
Extract and analyze data coming from our product, using different data platforms and tools (Snowflake, Python, etc.).
From your analysis, generate content and configurations that would then be loaded into our production engines to deliver improved customer value.
Present key findings to stakeholders across the company in order to drive business and product decisions.
Explore new and unmapped data domains that can push our product and customer value forward.
Become the focal point for all data related matters in your projects, own and manage multiple data projects on an on-going and an ad-hoc basis.
Develop automated solutions to collect and extract data from external sources to accelerate manual operations.

Do you look at websites and think about how they might be personalized? Do you use websites and apps and think about how their features have been designed to be best for a lot of different users? Do you read articles with statistics and think about how they may be misinterpreting the data to get their results? If these things describe you, and if youre great at SQL and have experience analyzing website data, youre someone we want to talk to.

Were looking for a Senior Data Analyst with experience analyzing website data. Our data analyst team analyzes everything on our website, not only for their immediate use but also for how they connect to high-level company KPIs. The role requires understanding web development and how data is gathered, analysis of site usage and a/b tests, data visualization and how different kinds of data can be presented most clearly, and business KPIs and how they are measured.

But more than that, were looking for experienced analysts that can bring us new ideas about how to analyze and extract insights from website data. Our ideal candidates have measured KPIs that we havent measured or used new ways to explain user retention, or analyzed features of users data that we havent analyzed.

The best thing about our work is that were part of an incredibly data-driven company. Everyone from the CEO down uses data every day. The data teams are involved in every single thing the company does.

Why were a great company to work for

the leading online destination for engaged investors. We have an awesome product. Our crowdsourced research and cutting-edge investing tools are helping nearly 300,000 paying subscribers exceed their financial goals.
We care about work-life balance: We work primarily from home, provide lots of perks, and insist that you enjoy them.
We invest in people. We consider each employee a long-term investment, and we see value in continuously nurturing and training our teammates.

If that's what you're looking for too- go ahead and apply!

Responsibilities:
Analyzing the behavior of users on our site and apps:
Build and maintain dashboards that visualize the usage of single or multiple features and how that usage drives company KPIs.
Answer questions about site usage or user behavior based on deeper analyses.
Analyze and track high-level KPIs such as conversion, retention, churn, recurring revenue, engagement, cross-device usage, e-mail and notification usage, and more.
Communicate with business stakeholders on analysis results, how they relate to business, and what business suggestions result from the analysis.
Run the whole data flow for site and app features, from defining KPIs, specifying data collection for development team implementation, and building and maintaining iterative versions of dashboards with both low-level and high-level views of collected data.
Split tests of product features:
Design a test with clear success criteria
Monitor test integrity
Analyze results and give recommendations
Use segmentation and clear cohort analysis to validate significant conclusions
Conduct exploratory analysis to identify trends and opportunities

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 Data Scientist (Hybrid Mode) to our Team in Tel Aviv
Are you a visionary Data Scientist passionate about leading cutting-edge research and implementing innovative solutions in a production environment? If you have a proven track record of developing algorithms in a fast-paced environment, a knack for NLP, and the ability to inspire your colleagues, we want to hear from you!
Responsibilities:
Lead and conduct advanced data science research, focusing on automatic knowledge-based understanding, entity recognition, and NLP models like state-of-the-art transformers.
Collaborate with a multi-disciplinary team of researchers, data engineers, software developers, product specialists, and researchers to solve complex problems.
Take ownership of major building blocks of the world's first multi-dimensional people-skills-jobs AI product.
Lead selected initiatives, and take ownership of the end-to-end agile process, from ideation to production-grade implementation, constantly improving the companys products.
Work closely with stakeholders to understand business requirements and translate them into actionable data science projects.