לוח משרות דרושים Senior Data Scientist

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!

We are looking for a Senior Data Scientist

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 a data scientist, 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 our research teams. Together with other data scientists, data engineers and Product Managers, you will translate the voice of our customer into best-in-class digital insights.

So, what will you be doing all day?

Analyzing data from various sources, and turning it into usable input
Initiating newly defined tasks from exploration to proof of concept
Owning the finalization of defined tasks (from POC to production)
Collaborating with data engineers to make sure we reach the desired production results
Creating key metrics and developing new models and capabilities for our product solutions
Owning the ongoing validation process for existing metrics

Job Description
Develop advanced technologies to transform the website building experience using innovative visual design tools and AI assistants

Employ machine learning, deep learning and advanced algorithms to tackle challenging problems across multiple domains, delivering models from research to production

Utilize massive datasets to drive innovation and enhance Wixs core products

Collaborate with cross-functional teams to integrate AI capabilities into products across Wix's website-building platform

Unity Grow team builds advertising and personalized content delivery solutions used in hundreds of thousands of apps. Our platform processes extensive data sets that are used by machine learning systems living in the core of our various products. Different deep learning techniques are revolutionizing automated decision-making systems and Unity is riding the front wave. Unity is investing heavily in mastering deep learning methodologies and applying them to real-world gaming problems of advertising, engagement, and monetization. In Demand Performance, we develop groundbreaking machine learning centric products. They provide millions of predictions for recommendations each and every second to optimize efficiency and profitability of user acquisition advertising campaigns. Today we are looking for a lead to head up our outstanding team! As a team lead you will have a critical role by running and growing an experienced software development team to build, ship, and operate machine learning powered solutions. This is an excellent chance to create impact by building data and innovative machine learning methods for the benefit of the game development communities.

What you'll be doing

Lead and scale a Data Science team responsible for some of the most critical product models
Enable the team to develop and ship high quality solutions while presenting progress transparently
Help people to grow their talent to build extraordinary machine learning solutions
Identify new ways to redefine advertising in games with machine learning and personalization
Identify novel business opportunities and products

The Karmel team focuses on climate AI initiatives. Our mission is to enable actionable information to mitigate and adapt to climate change at scale. We aim to make communities more resilient, improving global welfare.

Our projects span climate mitigation (e.g., GreenLight (optimizing traffic lights to reduce road transport emissions) and Methane leak detection) as well as climate adaptation efforts including flood forecasting, wildfires boundary tracking, post disaster damage assessment (SKAI), food security and weather predictions (Oya).

Additionally we support horizontal efforts such as geo foundational models and Mmeka (globally mapping buildings and fields).

Responsibilities
Collaborate with stakeholders in cross-projects and team settings to identify and clarify business or product questions to answer. Provide feedback to translate and refine business questions into tractable analysis, evaluation metrics, or mathematical models.
Use custom data infrastructure or existing data models as appropriate, using specialized knowledge. Design and evaluate models to mathematically express and solve defined problems with limited precedent.
Gather information, business goals, priorities, and organizational context around the questions to answer, as well as the existing and upcoming data infrastructure.
Own the process of gathering, extracting, and compiling data across sources via relevant tools (e.g., SQL, R, Python). Format, re-structure, and/or validate data to ensure quality, and review the dataset to ensure it is ready for analysis.
Be responsible for bridging between the research models, capabilities, and end user needs.