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Key details
Job Description
Wix makes it possible for anyone to succeed online. Since 2006, we’ve grown to around 4,400 employees in 22 countries, launched over 40 products, and serve over 299 million users and their visitors worldwide. At Wix, we push you to innovate and evolve in non-traditional ways. We operate in collaborative, high-performing teams, building cutting-edge products and leveraging AI to redefine how our users create, manage and grow their dreams online.
Although we’re already industry leaders in web creation and business, our work is nowhere near done. Our goal is to become the main engine of the Internet so we can create a more open web for all.
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At Wix, we believe our best work happens together. Our work model is fully in person, with 5 days a week from our office. Flexibility remains a core value at Wix and special requests are handled thoughtfully at the team level.
We're proud to be an equal opportunity employer. Wix was built around the idea that everyone has the right to be successful, online. This same vision defines us as an employer: creating a work environment where everyone is welcome, and anyone has the right to succeed.
In Wix’s world-class data science team, we create algorithms with human-like abilities to enhance the user experience and leverage internal insights far beyond what is possible through traditional engineering. Our projects span a diverse range of technologies such as generative AI, computer vision, forecasting, search, recommendation, NLP etc.
We’re in the era of AI breakthroughs, where our team plays a major role in framing Wix's innovative future. The quality of data and data-driven decisions are crucial pillars in building successful AI products, and we’re looking for an AI Analyst to manage data processes and evaluate model performance.
In your day-to-day, you will:
Manage end-to-end data processes for AI model training and evaluation, from data definition and creation to assessing and validating model outputs
Work with generative AI models using prompt engineering to support automated model evaluation and synthetic data generation
Develop and adapt evaluation methodologies, with a particular focus on automated and scalable approaches
Work closely with data scientists, product managers, and data engineers to define data requirements, identify gaps, build data pipelines, and proactively solve data challenges to produce high-quality datasets
Evaluate model training data and results, conduct in-depth analyses (including error analysis), and define and monitor metrics/KPIs to assess model performance
Optimize data collection and manual labeling processes, managing projects with both in-house labeling teams and external partners
Translate insights into clear, presentation-ready reports and dashboards for technical and non-technical audiences
6+ years of experience in Data Analytics
Strong experience applying AI and data analytics to solve real-world problems, including deep analysis of both structured and unstructured data
Proficiency with SQL, Python, Excel, and BI tools
Bonus points for familiarity with the basics of building AI models
Curious, self-motivated, and eager to learn about AI, with strong problem-solving and analytical skills
Independent, dedicated, and responsible, with strong project management and ownership skills to drive processes end-to-end
Excellent verbal and written communication skills in English, with the ability to deliver clear results and analysis
