לוח משרות דרושים סטטיסטיקאים

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.

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

Are you someone who loves to lead and create new things?
We're searching for a Generative AI Group Leader to join us.
If you're great at both leading a team and doing technical research and problem solving, this is the perfect role for you.
You'll be at the forefront of our data science team, helping us develop cool new generative AI algorithms. Plus, you'll be leading the way in building a collaborative team culture to reach new innovative goals.
Key Responsibilities:
* Set a vision for generative AI research and development that aligns with company objectives
* Lead cutting-edge generative AI research initiatives
* Grow, mentor and inspire the data science team, while attracting and nurturing talents
* Manage and collaborate on AI projects from conception to deployment, emphasizing teamwork in research and development
* Oversee the research aspects of deep learning generative AI model development, ensuring excellence in algorithmic problem solving

We are hiring a senior data scientist to join Nucleai’s data science team. A cancer patient wants to know that their diagnosis and treatment are determined with the greatest precision and preferably using the most advanced technology. At Nucleai, we bring cancer patients cutting-edge AI-based technology by improving biopsy interpretation with machine learning and creating novel precision medicine technology. Come join our team of experienced AI engineers and world-renowned clinicians, and help us make a difference. At Nucleai, we believe that talents are our most valued asset, and as such, hiring the right people is one of our most strategic missions.
Position Overview The data science team provides the bottom line to our customers – which patients are the best fit for a cancer treatment and what is the chance of success. We do it by analyzing medical images and clinical data, researching spatial features, developing predictive models and applying statistical methods to evaluate the results. Responsibilities:
* Independently lead the data science perspective in any project or assignment – from data mining, through developing new algorithms, to analyzing results and providing professional insights and guidelines.
* Contribute to the team's internal codebase with high-quality code and development standards.
* Augment our knowledge and best practices, adopt relevant SOTA data science methods and practices.
* Work closely with medical doctors, product and project managers, research scientists and software developers to focus your efforts, build new capabilities and provide value to your colleagues and our customers.