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We are looking for a BI Team Lead.
Responsibilities:
Inspire, lead, mentor, and support the growth and development of your team.
Hands-on approach
Communicate vision and insights in a way that resonates with partners and executive leadership and turn theory into action.
Define and measure Key Performance Indicators for internal and external stakeholders.
Identify & analyze large, complex data sets to address strategic and operational business gaps and suggest solutions to impact the business KPIs.
Drive the design, building, and launching of the next generation of the BI approach.

Join our education-services team as a dynamic technical trainer and content developer. We're seeking an exceptional individual with expertise in networks, server administration, containerized environments, storage and orchestration tools to lead the delivery and development of technical content related to our AI infrastructure and software solutions. As a key member of our team, you'll collaborate with internal and external experts to design and deliver lab-based training that empowers customers and partners to manage and optimize accelerated computing solutions across diverse workloads, including deep learning, data science, and high-performance computing.

What youll be doing:

Training Delivery: Conduct engaging face-to-face and remote training sessions for our customers and partners, with flexibility for up to 25% travel.

Content Development: Craft cutting-edge training materials aligned with our innovative AI and data center technologies.

Collaboration: Work closely with domain experts to develop course proposals that meet market demands and customer needs.

Lab-Based Training: Design interactive lab exercises enriched with diagrams, videos, and hands-on experiences.

Instructor Support: Develop comprehensive instructor resources, certification criteria, and assessment materials.

We are currently seeking a Python Game Designer.
What You'll Do
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.

Were looking for a brilliant and ambitious Data Scientist who is seeking his next challenge, with proven experience in big-data analysis, machine learning algorithms and digital signal processing.
We invite you to work in a creativity oriented, vibrant and non-formal environment that will encourage you to learn, grow your research and development skills and experience while executing end-to-end algorithm development process of a unique platform aim to improve patients quality of life and survival.
Job description:
Execute statistical modeling and analysis of large data sets using ML and big-data algorithms
Perform end-to-end research and development of speech signal processing algorithms

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.

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.

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 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.

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.

we are the next generation of multiplayer gaming uniting people around the gaming world in the most realistic way, face to face. As the Game Economy Manager, 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