We are looking for a Decision Scientist to join our team.

This is an amazing opportunity to join a multi-disciplinary A-team while working in a fast-paced, results-oriented, marketing and data-oriented environment.

If you are experienced but still hungry to learn and impact - wed love to have you on our team!

What You'll Do:
Designing data-driven products and algorithms within the companys core acquisition engine and deploying them end-to-end.
Hypothesize theories and prove them in production within hours (instant data gratification!).
Bring huge and immediate impact by beating the market and directly affecting the companys financial performance.
Work with fellow Data Scientists, Researchers, BI to help prove/disprove theories and dive into the root cause of anomalies.
Enjoy a high level of autonomy in a fast-paced business and work environment within an organization in the hyper-growth stage.
Collaborate with a team of A-player researchers and engineers to solve complex data and market problems.

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.

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.

Were a group of authentic, curious, intelligent, and playful problem-solvers who enjoy succeeding together. Founded in 2015 and operating as a bootstrap startup for seven years, was acquired in 2022 by mega mobile publisher Zynga/TakeTwo Inc to bring our to the next level.

Responsibilities
Working on projects across multiple DS disciplines (Tabular datasets, Vision, NLP, Bayesian modeling, etc..)
Apply complex analytical techniques to derive actionable insights.
Converting business needs into working data science projects (Identifying problems and providing solutions from ideation to deployment).
Conducting research and implementing new initiatives.
Working closely with our product, analysis, data and development departments.
Designing and Creating machine learning and DS pipelines used to ease, enhance and automate analysis tasks.
Optimizing and improving existing ML/DL models and pipelines.
Working with big data (BigQuery, SQL).
Roles & Responsibilities
Identify valuable data sources and automate collection processes.
Undertake the preprocessing of structured and unstructured data.
Analyze large amounts of information to discover trends and patterns.
Build predictive models and machine-learning algorithms.
Propose solutions and strategies for business challenges.

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.

Lead the data science field within the company.

Build & Refine the company's AI / ML algorithms.

Proactively seek new directions for tackling hard-to-crack problems, including devising real-world experiments and data collection.
Develop and implement advanced algorithms and models to process unstructured documents like PDFs, extracting insights through entity recognition.

Collaborate cross-functionally to translate business needs into actionable data science solutions, conducting thorough data analysis and feature engineering to uncover trends within unstructured data.

Working closely with the company's CTO and architect.

We're seeking a dynamic AI Guild Manager to spearhead our AI-first transformation.
This leader will build, manage, and inspire a cross-functional AI Guild focused on educating, ideating, and delivering cutting-edge AI solutions across our company. You'll work closely with the CEO and other stakeholders to embed AI concepts into our processes, product development, and decision-making. If you are passionate about driving innovation with AI, GenAI, ML, and NLP, and possess hands-on technical expertise with a strong entrepreneurial spirit, this is the perfect role for you!
What am I going to do?
Build and Lead the AI Guild: Recruit, retain, and provide guidance to a high-performing team of AI practitioners across various areas of expertise.
AI Strategic Vision: Partner with the CEO and executive team to establish and execute a company-wide AI strategy that aligns with business objectives.
Educate and Innovate: Design and run AI training programs for employees, and facilitate knowledge-sharing on best practices and potential applications of AI. Create a culture of continuous AI learning and exploration.
Ideation and Solutioning: Actively collaborate with various teams to understand problems and opportunities; ideate and prototype AI solutions.
Technical Acumen: Provide hands-on expertise in the design, development, and deployment of AI models, particularly using cutting-edge techniques in GenAI, ML, and NLP.

As a Data Engineer, you will play a pivotal role in shaping our evolving data culture. You will be responsible for collecting, organizing, and analyzing data to provide valuable insights that drive informed decision-making across the organization.
This is an opportunity to join a dynamic team and contribute to the development of data-driven solutions that drive business growth and innovation. If you are passionate about data and thrive in a collaborative environment, we encourage you to apply.
Responsibilities:
Collect and gather data from various sources, both internal and external.
Organize and clean datasets to ensure accuracy and reliability.
Utilize appropriate tools and software to analyze and visualize data effectively.
Collaborate with cross-functional teams to identify data needs and requirements.
Develop and implement data collection strategies to support business objectives.
Interpret data and provide insights to inform decision-making processes.
Create reports and presentations to communicate findings and recommendations.
Assist in the development of data-driven solutions to address business challenges.
Stay updated on industry trends and best practices in data analysis.