לוח משרות דרושים Data Scientist בתל אביב יפו

Unity Monetization Team, a division of Unity, builds advertising, in-game purchase promotions, and other personalized content delivery solutions and technologies used in hundreds of thousands of apps. Our Monetization team builds the technology infrastructure and serving systems that manage the delivery of relevant content to hundreds of millions of users every day. Our platform processes massive data sets that feed into machine learning systems that live in the core of various of our products.

Various deep-learning techniques are revolutionizing automated decision-making systems and Unity is riding the front wave. Unity is investing in deep and deep-reinforcement learning development on multiple fronts. Specifically, Unity Monetization is investing in mastering these methodologies and applying them to real-world problems of advertising, game economics, and monetization. At Unity, we develop cutting-edge machine learning-centric products that provide millions of predictions for recommendations every second to optimize the effectiveness and profitability of user acquisition advertising campaigns. Thus, we are looking to add a Data Science Manager to join our amazing team, working in our Austin office.

Unitys vast game monetization ecosystem gives us a unique opportunity to leverage data and innovative machine-learning methods to benefit the gaming and game development communities. Unity is continuously striving to build disruptive and powerful solutions to enable game developers to be more successful.

What you'll be doing

Work with a global team (Tel Aviv, Montreal, Helsinki, and San Francisco) to revolutionize the personalization of user acquisition advertisement for mobile gaming
Drive Unitys user acquisition product from the machine learning point of view in close collaboration with other data scientists, product management, and engineering
Manage team to Implement and drive the development of deep learning and machine learning algorithms with tech stack of Python/Spark/Tensorflow/Keras/PyTorch
Convey ideas, guide execution, and manage team members to implement high-quality data science and machine learning-based products
Participate in and initiate defining new business opportunities and products

Help serve Google's worldwide user base of more than a billion people. Data Scientists provide quantitative support, market understanding and a strategic perspective to our partners throughout the organization. As a data-loving member of the team, you serve as an analytics expert for your partners, using numbers to help them make better decisions. You will weave stories with meaningful insight from data. You'll make critical recommendations for your fellow Googlers in Engineering and Product Management. You relish tallying up the numbers one minute and communicating your findings to a team leader the next.

The Waze Growth Data Science team is responsible for the product analytics and data science needs of multiple functional areas and domains in Waze, including growth and strategy, user journey and driving experience, map and community.

Waze is where people and technology meet to solve transportation challenges. It's a platform that empowers users to contribute road data and edit Waze maps to improve the way we move about the world. As the social navigation pioneer, Waze leverages mobile technology and a passionate global community to redefine expectations of todays maps.

Waze is also a household name in Israel, and joining our team is an opportunity to be part of local history and be part of a passionate team and community working to change the way our cities move and make every drive smarter and safer.
Responsibilities
Conduct data analysis to make product recommendations (A/B testing, impact analysis, cohort analysis, user personas, forecasting, etc.).
Define and measure the right KPIs and targets for new product features and business activities. Monitor performance and provide advice on any necessary changes or optimizations of the product and business activities.
Design, develop and automate reports and dashboards to provide insights at scale, for problem-solving needs.
Collaborate with cross-functional stakeholders to understand their business needs, formulate and complete end-to-end analysis that includes data gathering, analysis, ongoing scaled deliverables and presentations.
Deliver effective presentations of findings and recommendations to multiple levels of stakeholders, including senior management and create visual displays of quantitative information.

As a Data Science Manager at MFT Financial Integrity, you will help shape the future of the payment experiences we build for billions of people and hundreds of millions of businesses around the world.

You will apply your people leadership, project management, analytical, and technical skills, creativity, and product intuition to one of the largest data sets in the world. You will collaborate on a wide array of product and business problems with a diverse set of cross-functional partners across Product, Engineering, Research, Data Engineering, Marketing, Sales, Finance and others. You will influence product strategy and investment decisions with data, be focused on impact, and lead and grow a high-performing team. By joining Meta, you will become part of a world-class analytics community dedicated to skill development and career growth in analytics and beyond.
Data Science Manager, MFT Financial Integrity Responsibilities
Partner with Product, Engineering, Operations, and other disciplines to develop, influence, support, and execute product strategy and investment decisions
Inspire, lead, and grow a team of data scientists to partner with other disciplines to fulfill the mission
Provide mentorship to the team on both technical and strategic direction
Proactively identify opportunities to better fulfill the product vision and strategy
Apply expertise in quantitative analysis, experimentation and data presentation to uplevel the work of the team
Ensure decisions are made with a high level of rigor using the most relevant data

We are looking for researchers and applied scientists to join the Central Applied Science team. Central Applied Science is an interdisciplinary team of quantitative scientists that aims to deliver research and innovation that fundamentally contribute to Meta's success. By applying your expertise in quantitative methods, you will be empowered to drive impact across a range of products, infrastructure and company operations. Individuals in this role are expected to have expertise and publications within research areas including artificial intelligence, machine learning, statistics, causal inference and experimentation. The ideal candidate will have a passion for building data-driven products and forming research frameworks to solve challenging, real-world problems.
Research Scientist, Central Applied Science (PhD) Responsibilities
Work with vast amounts of data, generate research questions that push the state-of-the-art, and build data-driven products.
Develop novel quantitative methods on top of Meta's unparalleled data infrastructure.
Learn new tools, systems, and programming languages quickly as required by the particular project you are working on
Work towards long-term ambitious research goals, while identifying intermediate milestones.
Communicate best practices in quantitative analysis to partners.
Work both independently and collaboratively with other scientists, engineers, UX researchers, and product managers to accomplish complex tasks that deliver demonstrable value.
Publish research results in top-tier conferneces and at leading journals
Actively identify new opportunities within Meta's long term roadmap for data science contributions.

Similarweb is the leading digital intelligence platform used by over 3500 global customers. Our wide range of solutions power the digital strategies of companies like Google, eBay, and Adidas.

We help our customers succeed in todays digital world by giving them access to data-driven insights, competitive benchmarks, strategic analysis, and more.

In 2021, we went public on the New York Stock Exchange, and we havent stopped growing since!

The DI departments customer-centric and business-oriented nature also means you will be supporting a team of data analysts and consultants who interact directly with customers. Together with them, you will translate the voice of these customers into best-in-class digital insights.

As a data scientist in the DI team, you will work on the very core of the company. Part of your role will be to turn raw data into usable metrics and develop new models and statistical algorithms to support out-of-the-box
requests from customers who want custom digital insights. This role will report to our DI Team Manager in the R&D.

Why is this role so important at Similarweb?

Similarweb is a data-focused company, and our unique AI and machine learning capabilities are the center of our business.

As part of this role, you will create data models that help analyze the petabytes of data we receive from various sources, and research and develop new features and capabilities for our product solutions

So, what will you be doing all day?

Your role as part of the R&D department, and as part of the DI team means your daily responsibilities may include:

Working on versatile use cases within a dynamic, fast paced production environment
Strategic thinking and problem solving, with a strong business sense
Analyzing data from various sources, and turning it into usable input
Understanding various use cases from different customers, and creating models that can translate these cases into meaningful insights
Initiating newly defined tasks from exploration to proof of concept
Owning the finalization of defined tasks (from POC to deployment in production)
Collaborating with data engineers to make sure we reach the desired production results
Owning the ongoing validation process for existing metrics
Collaborating and brainstorming best practices with other teams within the R&D department
Deploying machine-learning models into production for an ongoing use

Why Join Us?

Check Points Threat Prevention Chief Technologist Office is looking for a Senior Data Scientist to join our team.

The CTO consists of highly talented teams and individuals overseeing Data-Science, Security Research, Advanced Development, and Architecture across all Check Points Threat Prevention products and services - Cloud, Mobile, End-Point, and Network.

This is a unique opportunity for you to work in the #1 worldwide Cyber Security Company, and gain expertise and experience harnessing the amazing data collection available for Cyber Security Products.

Key Responsibilities
As a Senior Data Scientist, you will:


Design and develop novel, cutting-edge AI solutions for challenging problems in the cybersecurity domain. These solutions can potentially deliver game-changing results involving advanced AI and algorithms.
Push the solutions all the way to large-scale production systems. Understand the architectural constraints of such systems and work with a cross-organizational engineering and product team to quickly transition from prototype to a scalable robust implementation.
Enjoy the work and knowledge of Cyber Researchers, Analysts, Fellow programmers, and Data-Scientists to develop and deploy machine learning and AI solutions.

Youll enjoy:

A fun environment where work-life balance is valued.
Exploring THE BEST Cyber Security Data source to be found.
Working in a start-up environment within a corporates stability.
Sharing your day with fun, passionate, brilliant people.