אנליסט נתונים– Product Data & AI Quality

Data Analyst – Product Data & AI Quality Tel Aviv-Yafo, Israel 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 today’s 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 haven’t stopped growing since! We’re looking for a Data Analyst to join our R&D department! Why is this role so important at Similarweb? Our Retail Intelligence products help leading brands and retailers understand how their products, brands and categories perform online. Behind them is data collected from retailers and marketplaces around the world, each describing products in its own way. We use LLMs and ML models to classify, normalize and structure that data into a single, trusted view. As a Data Analyst on the team, you’ll be the person who knows this data best. You’ll own its quality: defining what “correct” looks like, building the ground truth our models are measured against, and finding where things break and why. You’ll work closely with the engineers and scientists who build our LLM and ML pipelines, and with Product, turning what you find into clear priorities. Your work will also directly support our customers: partnering with our customer-facing teams on deep-dive analyses, and investigating and fixing the data gaps that matter most to clients. It’s a role for someone curious and hands-on, who enjoys digging into data, uses AI tools to move faster, and wants to see their analysis directly shape the product. So, what will you be doing all day? Your daily responsibilities may include: • Analyzing product, brand and category data to find gaps, errors and opportunities to improve coverage and accuracy • Defining quality metrics and building the dashboards and checks that track them over time • Building and maintaining ground-truth datasets and labeling guidelines, and running labeling processes • Evaluating the output of LLM and ML models: error analysis, comparing approaches, and turning findings into concrete improvements • Using LLMs and AI tools to speed up analysis, labeling and data review • Helping define and maintain taxonomies and classification rules together with Product • Supporting client-related needs with our customer-facing teams, from in-depth analyses of specific market segments to investigating and fixing data gaps raised by clients • Validating new data sources before they are added to the product • Partnering with Product and engineering to translate findings into requirements and priorities This is the perfect job for someone who: • Holds a B.Sc. in Ind...