לוח משרות דרושים Data Scientist משרה מלאה

We are looking for a Data Scientist.
Responsibilities:
Data-driven insights. Help identify new products and opportunities for the company in diverse domains.
Develop Machine Learning models. Define requirements & combine data from a wide set of sources to develop ML/DL models that will automate and speed up our business processes.
End to end model management. Conduct in depth research, POC, write production-grade code and implement it (all the way to production) using our MLOps Infra to solve a diversity of business problems
Taking ownership.

Who We Are At Cross River, we're building the financial infrastructure that powers global innovation. With our cutting-edge suite of embedded payments, cards, and lending solutions, we enable millions of businesses and consumers to transact seamlessly and securely.?With 900+ employees worldwide and an R&D center of over 160 employees in Jerusalem - we’re reshaping how financial technology is developed and delivered. segmentation and optimization tools.

The Role:
As a Data Scientist you’ll play an essential role in driving data-informed decisions that strengthen our AML/CFT compliance and empower business leaders with actionable insights. By transforming complex data into clear, compelling analysis, this role enables quick understanding of results and supports strategic recommendations that directly influence compliance outcomes and operational success. You’ll collaborate with cross-functional partners to deliver a comprehensive view of risk, monitor the impact of implemented strategies, and make critical adjustments as needed. From designing and refining transaction monitoring scenarios to producing high-quality dashboards and reports, your work will guide ongoing optimization efforts.

Who You Are:

* Curious and analytical – You love digging into data, asking the right questions, and uncovering insights that others might miss.
* Clear communicator – You can explain complex findings in a way that’s easy to understand, whether it’s to compliance officers or business partners.
* Collaborative mindset – You enjoy working across teams and believe that the best solutions come from bringing different perspectives together.
* Mission-driven and detail-oriented – You care deeply about making a real-world impact and bringing focus and precision to everything you do.

What You’ll Actually Be Doing:

* Present data and analysis in a clear and concise manner allowing the audience to quickly understand the results and recommendations so they can make informed data-driven decisions.
* Collaborate with various partners to provide a holistic view of the analysis. Measure and monitor results of applied recommendations and present adjustments.
* Develop scenarios involving tuning, calibration, segmentation, and optimization.
* Provide routine and ad hoc reporting tied to AML/CFT compliance.
* Develop insightful and compelling summary reporting and dashboards for management and business line partners.
* Support the development of policies and procedures for AML transaction monitoring life cycle, including reviews of scenario validation, segmentation and optimization tools.

Why You’ll Love Working Here:

* Flexible hybrid work model: three days a week at our Jerusalem office
* Monthly wellness reimbursement – from therapy to gel manicure, it's up to you
* Full Keren Hishtalmut, private health and dental insurance
* Volunteer days, donation matching, Yoga and Pilates
* A supportive, collaborative culture that puts our people first

Next Step:
Hit apply. You bring the talent; we’ll bring the challenge (and the snacks!)

We are seeking a highly skilled and experienced data scientist to join our data group and play a key role in the development of our product. The ideal candidate will have a strong background in data analytics, machine learning, and cyber security, and will be responsible for analyzing large sets of data generated by critical infrastructure systems to identify potential threats and vulnerabilities.

Responsibilities
Conduct hands-on research and development of cutting-edge models
Take research projects from ideation to deployment and production
Work closely with domain experts and the engineering department to improve and create new innovative solutions.
Help define the AI product roadmap.

We are seeking a highly skilled and experienced Senior NLP Researcher to join our AI research team and drive the development of Dream's next-generation large language models (LLMs). The ideal candidate will have a strong background in NLP, deep learning, and applied research, with a passion for innovating and pushing the boundaries of generative AI technologies.

Responsibilities
Conduct cutting-edge research in natural language processing and large language models.
Design, train, and optimize large-scale neural network models for advanced applications.
Transition research projects from ideation through deployment and scaling.
Collaborate closely with cross-functional teams, including domain experts, product managers, and engineers, to deliver impactful AI solutions.
Define and contribute to the AI and NLP product roadmap.

As a Technical Product Manager for Data & Integrations, you'll own the strategic vision and execution of our foundational data infrastructure that powers everything does. You'll drive both real-time and batch ingestion of engineering data at enterprise scale, working closely with engineering teams to build a robust, reliable integration foundation that seamlessly connects diverse systemsfrom AWS and GitHub to Jira and beyondinto unified developer portal.

This role sits at the heart of platform, directly influencing our ability to scale and deliver value across customers' entire engineering ecosystems. You'll collaborate closely with Platform Engineers, engineering, architects, design and field teams to ensure our data integration capabilities meet the complex, varied needs of enterprise environments while maintaining the high reliability and performance our customers depend on.



Key Responsibilities

Own the product vision and roadmap for Port's foundational data ingestion layer, enabling seamless integration with 3rd party platforms (AWS, GitHub, Jira, etc.) and defining the strategic direction for data pipeline capabilities
Work directly with customers to deeply understand integration requirements and use cases, serving as the bridge between customer needs and technical implementation while gathering actionable feedback
Work with engineering and architecture teams to understand each 3rd party platform's unique data models, authentication methods, and constraints, collaboratively defining secure and efficient data ingestion processes tailored to platform-specific requirements
Collaborate with engineering teams and architects to define and design scalable integration patterns, data pipeline architectures, and holistic ETL/ELT flows from extraction through transformation to software catalog loading
Evaluate ETL/ELT technologies and implementation approaches through systematic research and validation, defining clear product requirements that balance customer needs with technical feasibility
Define exceptional user experience for data pipeline configuration and monitoring, including intuitive transformation definition workflows, real-time visibility into data fetching status from 3rd party platforms, comprehensive error handling and debugging capabilities, and clear pipeline progress tracking throughout the ingestion process
Establish success metrics and KPIs for platform performance, adoption, reliability, and customer satisfaction, with regular tracking and reporting on scalability and system health
Balance technical trade-offs while advocating for solutions that prioritize user needs and business value, aligning platform capabilities with measurable customer outcomes

We are building an AI-driven future at Appdome, and we need an exceptional data Scientist / ML & AI Engineer to join our new AI Department. This is a unique opportunity to work in a startup environment within a growing company, where youll take ownership of AI and ML initiatives, build cutting-edge solutions, and influence the direction of our AI products. The role has strong leadership potential and is suited for individuals who are passionate about solving complex problems and making a real impact.
What Youll Do:
* Research, develop, and deploy Machine Learning models and AI-driven solutions.
* Work with large-scale datasets, partner with others to create data pipelines, and develop feature engineering strategies.
* Optimize models for efficiency, scalability, and production deployment.
* Develop and refine ML models for various use cases, including security, fraud detection, and automation.
* Collaborate with data engineers, product teams, and backend engineers to integrate AI solutions into products.
* Apply MLOps best practices, including model versioning, monitoring, and retraining.
* Utilize cloud-based ML deployment strategies, particularly within AWS.

Our fantastic team is expanding to meet the growing demand of our customers and we are interested in welcoming a Data Scientist to join our team,
and to design and develop proprietary AI models for industry-leading OEM customers.

The ideal candidate's favorite words are learning, data, scale, and agility. You will leverage your strong collaboration skills and ability to extract valuable insights from highly complex data sets to ask the right questions and find the right answers. You should have in-depth knowledge of statistical and data science methodology and tools. Youll join a tight-knit group that values continuous improvement and solving challenging technical and product problems in an emerging space. Plus, we like to have fun along the way.

Responsibilities:
Creating innovative Machine Learning solutions for big data-sparse setups.
End-to-end research and development of scalable Data Science solutions for our use-case challenges.
Maintenance and improvement, if needed, of existing models, including accuracy and performance assessment in production.
Collaborate with Data Engineers to tackle scale-up challenges.

We are seeking a Senior Business Intelligence Specialist to partner up with our team of Business Intelligence and QA Specialists and collaborate effectively to ensure the accuracy, quality, and performance of our partnership intelligence dashboards. This role will be instrumental in ensuring our data solutions drive key business decisions for our clients, providing oversight and guidance to ensure the teams effectiveness in monitoring affiliate performance data.

As a key member in our team, you will manage and lead quality assurance processes, provide actionable insights, and help streamline data monitoring and alert systems. If you have a passion for improving processes, and driving data accuracy in consumer intelligence, we want to hear from you!

Responsibilities:

In-Depth Data QA and Oversight: Continuously evaluate and improve data monitoring and QA processes to enhance team efficiency and data quality. Implement best practices and create standard operating procedures for data verification, analysis, and alert management.

Quality Assurance Supervision: Oversee the regular QA checks conducted on partnership intelligence dashboards to ensure data integrity and consistency. Take a proactive role in resolving discrepancies and ensure the timely delivery of accurate reports.

Data Analysis & Reporting: Lead the analysis of trends and patterns in affiliate performance data to uncover areas for improvement. Prepare and present findings to internal teams in an easily understandable format.

Alert Management Oversight: Supervise the alert management system to ensure relevant alerts are delivered accurately to clients in a timely manner. Work with the team to assess the impact of alerts and determine corrective actions based on client preferences.

Cross-Functional Collaboration: Work closely with internal teams to foster communication and collaboration, ensuring alignment between the QA team and other departments such as R&D.

Required Sr. GTM Specialist SA GenAI/ML GenAI Israel , EMEA Data and AI Solutions Architecture
DESCRIPTION
Are you a customer-obsessed builder with a passion for helping customers achieve their full potential? Do you have the business savvy, Data & AI background, and sales skills necessary to help position AWS as the cloud provider of choice for customers? Do you love building new strategic and data-driven businesses? Join the Worldwide Specialist Organization (WWSO) AI/ML GenAI team as a GTM Specialist Solutions Architect!
AWS Sales, Marketing, and Global Services (SMGS) is responsible for driving revenue, adoption, and growth from the largest and fastest growing small- and mid-market accounts to enterprise-level customers including public sector.
Key job responsibilities:
Represent the voice of the customer; collaborate with field and central teams to bring customer feedback to product teams. Lead curation of custom feature and availability requests for unique customer use cases.
Provide advanced technical knowledge to your aligned GTM teams to unblock our customers largest and most critical business challenges.
Along with your extended team, own the technical bar for specialist technical artifacts and standards.
Collaborate with your GTM colleagues to provide technical insights into GTM strategy and support field marketing to execute local technical events, campaigns, and customer engagements.
Act as a thought leader sharing best practices through forums such as AWS blogs, whitepapers, reference architectures and public-speaking events such as AWS Summit, AWS re: Invent, etc.
Guide and Support an AWS internal community of technical subject matter experts aligned to your customers. Create field enablement materials for the broader SA population to help them understand how to integrate new AWS solutions into customer architectures.

we are searching for world-class researchers in deep learning and natural language processing (NLP) to join our Conversational AI research team. Our team is pushing the boundaries of generative AI by building state-of-the-art large language models (LLM). We work on new neural architectures to enable LLM with very long context, on applying LLM to solve complicated math and coding problems, and on improvement LLM robustness. If you are passionate about the latest research and technologies revolutionizing generative AI and want to explore creative new paradigms for applied foundation models such as reasoning agents, this team will be a great fit for you. After building prototypes that demonstrate the promise of your research, you will collaborate with product teams to apply your ideas into industry-leading real-world applications.
What you will do:
Lead the research on new deep learning algorithms and techniques for efficient LLM inference
Develop new architectures for advanced large language models
Design and adapt foundation AI models to downstream tasks such as math and code reasoning.
Contribute these new models to Nemo framework
Construct and curate datasets for large-scale machine learning, for learning from human preferences, and for specific domains of applications.
Work closely with product and hardware architecture teams to integrate your research and developments into products.

As a Data Scientist, you will work in a highly collaborative environment with extensive amounts of data to research and develop deep learning models to solve real-world problems and apply them to key risk department initiatives such as predictive spam detection, performance forecasting, and identifying bad actors by using machine learning models.

Connecting people across the world is a complex problem with many machine-learning applications. The purpose of this role is to implement models and algorithms to solve complex business problems in risk & fraud domains. Successful outcomes will significantly impact our hundreds of millions of daily active users around the globe.

Responsibilities:
Work with management and partner teams to design and implement solutions for given objectives.
Commitment to success metrics, ensuring low FP, and accurately measuring the impact and model performance.
Lead technical efforts to improve the performance of our Risk & Fraud models and propose initiatives in that domain to shape our long-term risk-mitigation vision.
Autonomously find solutions to complex data problems and understand the data generation process and the challenges with the data.
Leverage the extensive data received from our application to enhance model performance and accuracy.

As a Senior Data Scientist, you will work in a highly collaborative environment with extensive amounts of data to research and develop deep learning models in the domains of dating, moderation and content segmentation and apply them to tasks such as recommendation systems and analytics at a high scale.

Responsibilities:
Work with management and partner teams to design and implement solutions in recommender systems for given objectives.
Lead technical efforts to improve the performance of deep learning models and propose initiatives to impact company goals directly.
Autonomously find solutions to complex problems in social network recommendations and understand the data generation process and challenges with the data.
Analyze and leverage the extensive data received from our application to enhance model performance and accuracy.

Be a core member of a cross-functional AI innovation team, collaborating closely with software engineers, MLOps specialists, and analysts.
Design, build, and optimize end-to-end AI-driven features - from experimentation and model training to validation and deployment.
Develop production-grade code (Python and C#) to integrate advanced models and data-driven capabilities into our core products.
Continuously evaluate model performance and data quality in real-world settings, proactively driving improvements, retraining, and robust monitoring.