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.

At Similarweb, we are revolutionizing the way businesses interact with the digital world by revealing to them everything that happens online.

Our unique data and solutions empower over 4,300 customers globally, including industry giants like Google, eBay, and Adidas, to make game-changing decisions that drive their digital strategies. In 2021, we went public on the New York Stock Exchange, and we continue to reach new heights! Come work alongside Similarwebbers across the globe who are bright, curious, practical, and good people.

We are looking for a dynamic Data Scientist to join our Product Operations & Analytics Team reporting to the VP of Product Operations. This unique position requires an analytical mind combined with a deep understanding of our products.
As part of the team, you will be pivotal in making data-driven strategic decisions by leveraging predictive modeling and machine learning techniques, especially around our business metrics. You will also use predictive modelling to increase and optimize customer experience, product decisions, and other business outcomes and share them with the product management group and executives.

You will develop processes and tools to monitor and analyze model performance.

The ideal candidate is adept at working with large data sets to find business opportunities using a variety of models. You must be comfortable working with a wide range of stakeholders.

So, what will you be doing all day?

Inference and Predictive Modeling and Analysis
- Develop and maintain churn prediction models for various products and customer types.
- Build models for upsell/down-sell opportunities and risk, and predict conversion probabilities for both self-serve and high-touch customers.
- Develop models that optimize our user journey, adoption, activation and growth of our products.
End-to-End Model Ownership
- Take full ownership of the model development cycle - from ideation and design to communication, iteration, collaborate with data engineers to productionize and support.
Stakeholder Collaboration
- Collaborate closely with stakeholders, including the C-suite, Go-To-Market team, Product Management, Marketing, etc.
- Gather requirements feedback and ensure alignment with business objectives.
- Present complex data findings in a clear, concise, and actionable manner to non-technical stakeholders.
Product and Business Understanding
- Develop a deep understanding of our products and business, ensuring that models and analyses are relevant and actionable.
Analytics Team Support
- Lead the automation of large and complex tasks, streamlining processes and enhancing efficiency for the analytics team.

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.

Our team prides itself on embracing a growth mindset, inspiring excellence, and encouraging everyone to share their unique viewpoints and be their authentic selves. Join us and help create life-changing innovations that impact billions around the world!
Responsibilities
Modeling and Statistical Analysis

Applies machine learning solutions and algorithms to achieve objectives, prepare and evaluate data, and communicate findings and risks.
Writes scripts in various languages and understands Microsoft AI and ML tools.
Designs experiments and operationalizes models at scale applying AI and engineering best practices.
Business Understanding and Impact

Makes impactful contributions to data-driven projects with understanding of business requirements and data science expertise. 
Data Preparation and Understanding

Manages data collection and preparation for projects.
Evaluation

Understands relationship between selected models and business objectives.
Ensures clear linkage between selected models and desired business objectives.
Defines and designs feedback and evaluation methods.
Presents results and findings with other team members.
Coding and Debugging

Demonstrates excellent coding and debugging skills across multiple features/solutions.
Business Management

Drives business value by collaborating with team members and improving solutions.
Customer/Partner Orientation

Provides customer-oriented insights and solutions by understanding the business, product, data and customer perspective.
Delivers customer-oriented solutions and builds trust with Microsoft products.

The successful candidate will have strong engineering capabilities with high Python proficiency and a deep understanding and experience in machine learning and AI. You will work closely with cross-functional teams to create cutting edge LLM-based experiences, make decisions using data and be responsible for developing innovative solutions that drive towards the future of AI in education. We are looking for enthusiastic and creative thinkers and doers to join us in meeting the challenge of shipping AI products that meet the needs of learners in a changing world.

Microsofts mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond.
Responsibilities
Adopt, contribute to, and improve the teams existing technical stack and infrastructure to build differentiated features in the Education space.
Stay up to date with AI technology, advise on how we can adapt and embrace new technologies methodologies and ideas.
Provide hands-on technical work: design, analytics/modeling and fine tuning, dataset development, code reviews, development, quality assurance.
Build relationships with partners within Microsoft (applied) Research Teams to bring innovation to new and existing products.
Foster a culture of inclusivity and disciplined data and software engineering practices to deliver business value, guided by data.
Creating and sustaining an effective team culture is extremely important to us. We value and promote a high trust environment where we work closely and effectively with others.
We emphasize a culture of continuous learning and so having a growth mindset and passion for learning is important. You should expect that your teammates will be invested in helping make you successful and expect the same in return from you. We recognize and celebrate the uniqueness of each person on the team and leverage our diversity to create more inclusive products for our customers.

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

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

Want to make a real difference in the mobile industry? Join Unity Aura's cutting-edge data science team as a Senior Data Scientist and be part of the team that personalizes experiences for over 400 million mobile users worldwide.

You'll be on the frontlines of innovation, using the latest tech to research, design, implement, and evaluate advanced machine learning algorithms. This role will allow you to develop real-time solutions that personalize the user experience, directly impacting the product.

If you're a data scientist who thrives on making an impact, this is the perfect opportunity for you!

What you'll be doing

Apply cutting edge solutions while leveraging our vast amounts of data
Develop on-line and scalable models and tools using machine learning, deep learning and NLP techniques
Take on projects end-to-end from business question all the way to production
Work alongside machine learning experts, big data engineers, product managers and developers from across the organization to solve complex problems

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.

SuperSonic is looking for a passionate Full Stack Data Scientist, to work end to end on our user acquisition optimiser, Arpumiser and other revenue driven projects.

As a Full Stack Data Scientist you will set up the data architecture using Airflow, Python and SQL, analyzing the data points, helping our growth team to increase our scale by using the optimiser properly and building models to predict Lifetime-Value (LTV) in precise way. and finally deploying the model into the production environment.

Research & develop complex realtime user level models to improve supersonic games.

What you'll be doing

Perform end-to-end solutions from business needs all the way to production
Analyze and improve the model use cases in production
Model, design, and implement machine learning and data mining algorithms with Python, SciKit
Perform deep data analysis to evaluate optimiser performance
Help, guide and Support our UA growth team to increase scale while using the optimiser in proper way