לוח משרות דרושים מדעים מדוייקים בתל אביב יפו

As a Data Scientist, you will report to our Senior Director of Data Science.
Typical responsibilities include designing efficient data science/ML/AI/statistical algorithms that leverage our homomorphic encryption or other private preserving technologies including federated learning, confidential computing, and more.
You will develop prototypes of your design and will work with our engineering team to integrate
solutions into a production privacy-preserving analytics product. You are expected to work closely with our crypto and software engineering teams. In this position, you must work independently and show creativity, problem-solving, and a can-do attitude.
The position is based in the Tel Aviv area.

The Monetization team is at the core of our business, driving revenue growth and improving the game experience for our users.

Responsibilities:
Craft and optimize custom, effective, and strategic plans that can help reach business targets.
Responsible for the operational launch of campaigns, monitoring results, and reacting accordingly.
Plan, create & implement day-to-day events and promotions strategies based on users' behavior analysis.
Recommend new ways to optimize and maximize game revenues.
Collaborate with the Economy, Design, Product, Technical Operations, and Analytics teams to execute top-quality events and promotions.
Continually test, innovate, and iterate ongoing programs.
Ability to formulate a custom, effective, strategic plan based on our business targets.

As an Analytics Growth Lead, you will work with our data teams to determine key pain points, bottlenecks, and opportunities for our business. You will devise, implement, and execute initiatives and strategies to grow our Analytics department to maximize our potential.

This role is embedded within our Analytics department and requires a blend of analytical prowess, creative thinking, cross-functional collaboration, and the responsibility to challenge and innovate upon current data-driven methods. Success in this role directly impacts our product, monetization & marketing goals, and we reward results-driven performance.

To ensure success, you should be skilled at writing & debugging SQL & Python scripts, implementing advance analytics methodologies, passionate about optimizing business processes across all departments and able to lead & instruct other Analytics Personal to tailor solutions to different markets, scenarios, products, and goals.

Responsibilities:

Hands On Complex Cross Department Projects:
Lead analytics cross department projects, ensuring alignment with organizational objectives and timelines.
Conduct highly complex in-depth data analysis to extract meaningful insights and trends, leveraging various analytics tools and methodologies.
Provide technical guidance and support to all data professionals in navigating complex technical and analytical challenges, enabling them to deliver high-quality solutions.

Innovation:
Drive innovation within the analytics department by exploring emerging technologies and methodologies, recommending their adoption where appropriate to enhance efficiency and effectiveness.
Collaborate closely with all department teams to understand their unique data requirements, ensuring that analytics solutions are tailored to the diverse business needs.

Standardisation & Optimization:
Conduct training sessions and workshops to disseminate technical knowledge and foster a culture of analytical excellence across the department.
Lead cross-departmental systems & processes implementation to ensure collaboration and synergy (Pycharm & BQ, Mixpanel, Jira, AppEvents Structure, etc.).
Establish quality assurance protocols for data analysis and reporting, ensuring consistency and accuracy throughout the company's analytics practices.
Facilitate analytical knowledge documentation, including methodologies, frameworks, and best practices, to facilitate knowledge sharing within the department (Confluence, Showcase, User Stories, etc.)
Prioritization and Project Management:

Employ effective prioritization methods to ensure critical projects receive adequate focus and resources.
Establish contingency plans and backup strategies to mitigate unforeseen challenges or failures during AB Testing, ensuring the smooth execution of planned tests.

We are looking for a passionate Game Economy Manager to join our fast-growing Product Analytics Team. Using your analytical skills, your mission will be to balance and tune all the economic aspects of our games.

Responsibilities:
Monitor and tune the economic of resources & currencies using data analysis and simulations.
Define guidelines of resources management (inbound & outbound) across company departments to control & optimize economy inflation.
Design the user path & features from economic aspects.
Plan & analyze complex A/B tests to optimize new and existing features.
Be an essential part of the thinking & decision-making process for the company roadmap.

As a Compliance analyst you will:

Implement ongoing compliance controls (sampling cases, handling daily reports, investigate unusual users activity, monitoring third parties activity etc.).

Collecting, analyzing, and synthesizing data to achieve department objectives.

Interact on a day-to-day basis with the Company departments (Customer experience, growth, operations, finance, sales etc.) to ensure the implementation of compliance controls in the company and independently escalating & resolving compliance issues as they arise.

Assist in building controls and procedures for new markets and new products with the company Compliance officer.

Analyze customer data and case learnings to continuously improve the effectiveness of compliance and risk management programs.

Required Senior Programmatic Performance Manager (Monetization)
As a Senior Programmatic Performance Manager, you will be the main owner of our Open Auction revenue vertical.
Your day to day will be mostly about operating and optimizing the RTB process, working closely with our analysts towards maximizing our potential revenues, helping our growth team optimize UA ROIs and searching for exciting new collabs that will increase our revenue stream.
Responsibilities:
Lead the optimization of the Real-Time Bidding (RTB) process to maximize yield and fill-rate across a diverse portfolio of publisher networks.
Provide data-driven insights and recommendations to enhance overall revenue performance.
Monitor advertising performances, identifying irregularities, and proposing actionable changes and new products to optimize revenue outcomes.
Dive deep into both internal and external advertising platforms to understand their impact on our Return on Investment (ROI).
Collaborate closely with our analysts to explore data trends, contributing to the continuous improvement of our revenue-generating strategies.
Work with the growth team to optimize User Acquisition (UA) Return on Investment (ROIs) through effective monetization strategies.
Proactively seek and evaluate exciting new collaborations and partnerships that have the potential to increase our revenue streams.

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.
We are looking for an experienced Senior Deep Learning Algorithm Engineer with proven capabilities to lead the development of new products from concept to production.
A day in the life and how you’ll make an impact: Design and development of novel and efficient computer vision and deep learning algorithms from concept to production
* Create proof of concept for new products and technologies
* Evaluate and benchmark different algorithms on unique proprietary datasets
* Collaborate with team members to define future technology and features
* Stay updated on the latest advancements in DL research and implement best practices in DL development

The Industry Solutions Engineering (ISE) team is a global engineering organization that works directly with Microsofts most strategic Healthcare and Life Sciences customers who are looking to leverage the latest technologies to address their toughest challenges. We develop solutions side-by-side with our customers through collaborative innovation to solve their challenges. This work involves the development of broadly applicable, high-impact solution patterns and open-source software assets that contribute to the Microsoft platform. In this role, you will be working with data scientists, program managers and engineers from your team and our customers teams to apply your skills, perspectives, and creativity to grow as engineers and help solve our customers toughest challenges.

We are looking for a Data Scientist with expertise in developing statistical techniques to analyze data and find patterns. You will work cross-functionally with several teams including data scientists, engineering crews, product teams, and program management to deploy business solutions for Microsoft clients in the Healthcare and Life Sciences sector.

We are looking for an 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 an 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.

we are looking for a Game Economist
What will you do?


Design the user experience from an economic point of view, trying to predict the players' behavior according to the data we already have
Price the game's virtual currencies
Build simulations and predictive models to forecast the results of changes to the content proactively
Work with product teams on balancing new features
Monitor individual and macro player balances to ensure the overall health of the game's economy
Analyze large, complex data sets to address strategic and operational business decisions

We are looking for a Machine Learning Engineer to join our team as a Technical Lead. The Technical Lead will be integral to the data science feature development process, working with data engineering.
You will design machine learning pipelines, apply algorithms to generate predictions, tackle data set challenges, and develop the first-ever, real-time corporate credit score platform.
This isn't just another job; you'll be a key part of an exciting, experienced team in a fast-paced environment. This position does not involve managerial duties but rather entails leading technically.
You will:
Architect and engineer prompts for various AI models, including LLMs, to generate accurate and actionable outputs for security automation tasks.
Build forecasting/prediction models from scratch (POC) to production-ready
Work closely in aligning the product, research, and development teams in crafting the product, increasing product effectiveness
Collaborative mindset to improve the AI team, communicate with stakeholders, and shape research vision.
Take a critical role in the research process for finding the best market solutions for defined business problems
Guide the R&D team and product teams

We are seeking a passionate Robotics Simulation Engineer to join the R&D team, in our TLV Site.

You will be joining the team responsible for our autonomous systems development. You will take part in all aspects of the process - from customer needs mapping and definition, through algorithms design, prototyping and implementation, to production, continuous deployment and support.

Responsibilities - what youll be doing:

Define requirements and lead the development of a photorealistic physical robotic 3D simulation
Collaborate with the Software Developers and Hardware Engineers to develop a digital twin of a robotic vehicle
Incorporate Software-in-the-Loop and Hardware-in-the-Loop methods
Setup and manage infrastructure for continuous testing of the robotic algorithms
Examine the models and algorithms, and be part of the efforts for their constant improvement

We are the next generation of multiplayer gaming uniting people around the gaming world in the most realistic way, face to face. As the As the team lead Game Economy, you will be responsible for designing and managing the in-game economy, as well as managing and tracking our user's experiences through the use of behavioral insights, mathematical models, simulations, data analysis, To put it simply: You'll be responsible for making the game more fun and increasing community engagement. The ideal person for this position is curious by nature, loves problem-solving, is a team player with great communication skills, and is a self-starter.
Responsibilities:
* Designing economic game features in order to maximize and heighten User Experience and optimize KPIs directly linked to the game
* Model and balance complex systems in the game to maintain a healthy and growing in-game economy
* Work with the product and monetization teams to build and implement content in the game as well as live-ops activities
* Perform data analysis and AB testing in order to always improve the game performance
* Pricing of the game store, offers, and other products
* Tracking and managing in-game economy parameters on a daily basis
#LI-Onsite.

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.
We are hiring a highly skilled and motivated Generative AI Researcher to join our talented research team. As a Generative AI Researcher, you will be responsible for developing and implementing cutting-edge multi-modality LLMs to solve complex problems and drive innovation across our organization. You will work closely with data scientists, software engineers, and product managers to design, build, and deploy genAI-powered solutions that enhance our products and services.
A day in the life and how you’ll make an impact: Designing, developing, and implementing multi-modality generative AI models and algorithms utilizing state-of-the-art techniques
* Collaborating with cross-functional teams to define genAI project requirements and objectives, ensuring alignment with overall business goals.
* Stay up-to-date with the latest advancements in generative AI, machine learning, and deep learning techniques and identify opportunities to integrate them into our products and services.
* Publish in high profile venues such as Nature, Science, CVPR, NeurIPS, ICML or similar
* Optimizing existing generative AI models for improved performance, scalability, and efficiency.
* Developing and maintaining AI pipelines, including data preprocessing, feature extraction, model training, and evaluation.
* Developing clear and concise documentation, including technical specifications, user guides, and presentations, to communicate complex AI concepts to both technical and non-technical stakeholders.
* Contributing to the establishment of best practices and standards for generative AI development within the organization
* Providing technical mentorship and guidance to junior team members

We are NeoGames (Nasdaq: NGMS), a global leader of iLottery solutions and services to national and state-regulated lotteries. We are part of the NeoGames Group, an iGaming powerhouse with 1100 employees spread across 8 countries. At NeoGames, we pride ourselves on our “People first” culture. Not only has it been a core value in our organization for as long as we can remember but it also runs in our DNA and is felt in every aspect of our operations. We are currently seeking a Python Game Designer.

Responsibilities:
Conducting in-depth mathematical creation and setting of online real money games, focusing on probability, statistics, game mechanics, features, and theory. Calculating and optimizing online real money game probabilities, odds, and payouts, considering random number generation and statistical distributions. Refining mathematical models that govern the mechanics and outcomes of various online real money games. Collaborating closely with game product management, designers, developers, and stakeholders.