דרושים » ניהול ביניים » ארכיטקט DATA science- לארגון ממשלתי גדול במרכז הארץ!

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

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.

Intuit is the global financial technology platform that powers prosperity for the people and communities we serve. With approximately 100 million c
ustomers worldwide using products such as TurboTax, Credit Karma, QuickBooks, and Mailchimp, we believe that everyone should have the opportunity to prosper. We never stop working to find new, innovative ways to make that possible.

Job Overview
Come join the NLP team as a Staff Data Scientist.

We are building the Intuit Foundational LLM, as part of a proprietary Generative AI operating system (GenOS) platform.

Responsibilities
Youll apply proven methods and hacking skills in working with divergent data types, data scales, and big data to explore and extrapolate data-driven insights using advanced, predictive statistical modeling and testing applied to data acquired and cleansed from a range of sources
Youll use considerable expertise and independent judgment in collaborating with peers, data engineers, database managers, business analysts, architects, and product managers in designing and implementing the research strategy needed to methodically and iteratively structure, extract, cleanse, sample, test, validate, and communicate data-driven insights from complex sources and significant volumes of data for complex and unique business problems
Youll provide guidance and support leadership to business leaders and stakeholders, on how best to harness available data in support of critical business needs and goals
Youll lead the full cycle of iterative big data exploration, including hypothesis formulation, algorithm development, data cleansing, testing, insight generation, and visualization, and action planning
Youll provide business stakeholders with entrepreneurial guidance essential for appropriately interpreting and building on findings, and fully exploiting the insights revealed through the research

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.