דרושים » מערכות מידע » Decision Scientist

We are looking for exceptional hands-on data science, machine learning, and algorithms researchers. Our data science group builds well-crafted machine learning systems which are at the core of unique position to prevent online fraud. you will have the opportunity to analyze complex non-stationary data, innovate, acquire, and demonstrate a wide range of skills and expertise in machine learning while maintaining a focus on delivering systems to production and making an impact. If you possess strong analytical ability and the know-how to translate your ideas into reality, we would like to have the chance to talk to you.

What you'll be doing:
Research and develop innovative machine learning projects up to deployment in production.
Lead projects, initiatives, and multidisciplinary task forces in a dynamic business environment.
Mentor other data scientists, influence your teammates' projects, advise colleagues from other disciplines.
Solve complex, unique data science problems that do not have an off-the-shelf solution. Dive deep into complex and multi-dimensional data sets to identify patterns, anomalies, and potential fraud indicators.
Work closely with domain experts and researchers to integrate domain-specific knowledge into our fraud detection models. Collaborate on research projects to explore new approaches and technologies.
Employ a wide range of techniques from data science, machine learning, statistics, probability, algorithms, and whatever is necessary to solve the most crucial problems is facing.

We are looking for exceptional hands-on data science, machine learning and algorithms researchers. Our data science group builds well-crafted machine learning systems which are at the core of unique position to prevent online fraud. you will have the opportunity to analyze complex non-stationary data, innovate, acquire and demonstrate a wide range of skill and expertise in machine learning, while maintaining a focus on delivering systems to production and making an impact. If you possess strong analytical ability and the know-how to translate your ideas into reality, we would like to have the chance to talk to you.

What you'll be doing:

Research and develop innovative machine learning projects up to deployment in production.
Solve complex, unique data science problems that do not have an off-the-shelf solution. Dive deep into complex and multi-dimensional data sets to identify patterns, anomalies, and potential fraud indicators.
Stay ahead of the curve by understanding the latest adversarial techniques fraudsters use.
Work closely with domain experts and researchers to integrate domain-specific knowledge into our fraud detection models. Collaborate on research projects to explore new approaches and technologies.
Employ a wide range of techniques from data science, machine learning, statistics, probability, algorithms, and whatever is necessary to solve the most crucial problems is facing.

At UVeye, we're on a mission to redefine vehicle safety and reliability on a global scale. Founded in 2016, we have pioneered the world's first fully automated suite of vehicle inspection systems. At the heart of this innovation lies our advanced AI-driven technology, representing the pinnacle of machine learning, GenAI, and computer vision within the automotive sector. With over $200M in funding and strategic partnerships with industry giants such as Amazon, General Motors, Volvo, and CarMax, UVeye stands at the forefront of automotive technological advancement. Our growing global team of over 200 employees is committed to creating a workplace that celebrates diversity and encourages teamwork. Our drive for innovation and pursuit of excellence are deeply embedded in our vibrant company culture, ensuring that each individual's efforts are recognized and valued as we unite to build a safer automotive world.
UVeye is looking for an experienced Data Analyst to join our Data team As our Data Analyst, you'll play a pivotal role in cleaning, analyzing static data, and contributing to the success of our data-driven culture.
A day in the life and how you’ll make an impact:
* Perform thorough cleaning and analysis of static data, ensuring accuracy and reliability.
* Conduct statistical and exploratory analysis to uncover patterns, trends, and key insights.
* Create insightful reports and visualizations that effectively communicate complex findings to various stakeholders.
* Work directly with stakeholders to understand their data needs and collaborate in making informed, data-driven decisions.

We are seeking an experienced, data-driven and highly motivated BI Developer to join our data team. A strong candidate is an independent, analytically minded individual with strong data modeling and data engineering skills. Come and help us turn billions of daily events into critical information, business insights and graphical dashboards that will help to make impact decisions on our business
What you'll be doing:
Design, manage and maintain analytics products and BI solutions for the entire group
Work with a variety of relational and non-relational databases (Redshift, MySQL and others)
Develop ETL processes using different tools (Airflow, and others)
Design and develop data visualization (Tableau, redash and others)
Monitor the integrity and validity of the data reported.

A day in the life:
Work with large and complex data sets to solve a wide array of challenging problems using different analytical and statistical approaches.
Analyze our risk product, identify improvements, and communicate results with internal stakeholders, including leadership, to ensure these are incorporated into business processes.
Lead our risk model data science performance monitoring. Define, understand, and test opportunities to improve the product, and drive roadmaps through your insights and recommendations.
Deliver directions for future data science research that are related to the model performance.
Design data collection strategies and their applications for building new products. Collaborate with the data engineering team to define and implement data processing workflows.
Participate in the design of data preparation processes, ensuring seamless integration of business requirements and technical feasibility.
Exemplify and foster our humble, collaborative and impact-obsessed culture.

We are looking for an experienced Data Scientist who can leverage and develop innovative machine learning, NLP, and AI technologies, for solving problems within our Search and matching domain.
As a part of our Data Science group, you will work on highly complicated challenges, from research to production, and help shape our algorithms and ML platform. You will work with Developers, Analysts, Product Managers, and business owners on growth opportunities and new ideas.
You should have a strong background and experience in the machine learning pipeline through business understanding, research, data exploration, feature engineering, model building, performance evaluation, testing, production-level code and deployment, model monitoring, and maintenance.
What am I going to do?
Take leading roles in projects around our search & matching engine: ranking, semantic search, user segmentation and personalization, Gen AI within our core mechanisms, real-time predictions, live streaming data utilization for our online models, etc.
Provide advanced Data Science solutions end to end.
Write and own production models and code.
Independent research and innovation in new content and technological domains.
Lead and advise other team members.
Continuously produce new initiatives and improvement ideas.
Act as a leader of our Data Science AI platform.

we are looking for an excellent Data Science Manager to join our team! Stand as the unique leader, positioned at the intersection of fraud analysis, data science, and system flow engineering, to extract insights and deliver pivotal components of logic at the core of the system.

What youll be doing:

Be the professional leader and mentor to a team of talented data scientists and researchers.
Devise creative solutions to highly intricate real-world problems, using statistics, domain expertise, ML, graph theory, or anything else.
Work on the core of a multi-faceted system, at the junction of identity, similarity, and fraud detection, which is at the heart of technology, and critical to its bottom line.
Find techniques for automated learning from our data, which is meso-big and only sometimes tagged. In particular, hold our complex similarity search, clustering and anomaly detection fields.
Work alongside domain experts to define and develop the way we should synthesize a large corpus of analytical knowledge insights into a scalable streamed flow.
Develop measures, metrics, and uses for our large graph of humans and how to spot those fraudsters hiding in there.
Promote solutions and sophisticated ideas, communicate them to peers, management and customers. Be the Data Science face of the identity network domain of the company.

We are looking for a Product Analyst who will take part in building innovative, unique products and services for our publishers.
In this role, you will lead the analytics of products in your domain of responsibility and proactively guide our business growth, based on data analysis and statistical research, to ensure development of successful products.
We currently work in a hybrid work model giving employees the flexibility to work from home a few days a week. We have offices in Ramat Gan and Beer Sheva and are looking to grow to additional locations such as Jerusalem, where our employees have the opportunity to meet their teammates, connect with other teams and socialize with friends.
What are some of the things you do on a day-to-day basis?
Define and analyze A/B tests to optimize product performance and understand user behavior
Take part in product-related decisions and identify opportunities for product improvements
Research and analyze large volume data sets in order to generate useful conclusions and actionable recommendations
Develop data models and dashboards as well as find creative solutions for a variety of challenges never dealt with before.
Become the focal point for all data related matters, own and manage multiple data initiatives and projects on an on-going and an ad-hoc basis.
Work closely with R&D and Product teams, understand objectives and create products that contribute to the companys goals.

We are seeking an experienced, data-driven individual with a strong background in data analysis and BI development to join our growing team.
Our team is at the forefront of data analysis and BI solutions on mobile devices, driving content recommendations to over 400M active devices worldwide. As part of your role, you will leverage complex business analysis, and extract insights that will significantly impact our business success and drive strategic decisions.
You will lead end-to-end BI projects, work on requirements, craft solutions, develop complex ETLs, and visualize actionable insights.You will collaborate directly with cross-functional teams, as well as internal and external stakeholders, to understand business needs and provide reliable and innovative data analysis and BI solutions.
Transform billions of daily events into critical information, business insights, and graphical dashboards that will drive meaningful impact for our business.If you excel in analytical thinking, BI technical skills and possess a strong passion for data analysis and BI development, this role would be just perfect (!) for you.
What you'll be doing:
Derive meaningful insights and actionable value from data and effectively communicate it to diverse stakeholders. Collaborate closely with Management, Product managers, Data Science, R&D, Sales and other teams
Develop complex SQL queries and work with a variety of relational and non-relational databases, including Redshift, MySQL, SingleStore, and others
Architect and implement BI ETL pipelines, reports, and dashboards to illuminate product and business performance, using various tools including Airflow, Python, Jenkins, among others
Design and deploy visually compelling data visualizations using platforms like Looker, Tableau and others
Engage in the data aspects of product and feature development and assessment, establish product reporting frameworks, and analyze outcomes of A/B testing.

We are hiring a Medical Data Specialist to join our Data team.
In this role youll get the opportunity to build image analysis models powered by AI, and do something that really matters to biology research and immune treatment.
Join our core team of med students and biology majors to help define better treatment for cancer patients!
A cancer patient wants to know that their diagnosis and treatment are determined with the greatest precision, and preferably using the most advanced technology. We bring cancer patients cutting edge AI-based technology, by improving biopsy interpretation with machine learning and by creating novel precision medicine technology. Come and join our team of experienced AI engineers and world-renowned clinicians, and help us make a difference.
W believe that talents are our most valued asset and as such, hiring the right people is one of our most strategic missions.
Position Overview:
In charge of annotating samples from diverse pathology slides incl. H&E, IHC, Multiplex assays.
Working closely with the scientific & algorithmic teams to reach the utmost image analysis accuracy.
Participate and lead conversations with leading pathologists.
Why join us? There are plenty of reasons:
Your job matters, use your experience and skills to implement solutions that save lives.
Come as you are, Do what you love: We are a diverse team who are inspired to let our people bring their real self to work by providing an inclusive respectful work environment, and openness to feedback and ideas.
We are open to creativity and welcome innovative ideas and implement best practices.
Be a part of a fast-growing startup backed by top VCs.
Won the Atlas Award.
Work with amazing people that share a passion for using technology as a tool to achieve great things.