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YubHub-native raw fields carry `x-` prefix.","jobs":[{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_158a429c-4d8"},"title":"Senior Data Scientist - Product Analytics","description":"<p>We are seeking a Senior Data Scientist to join our Research, Analytics &amp; Data Science (RAD) team. The RAD team uses data and insights to drive evidence-based decision-making. We&#39;re a team of data scientists and product researchers who use data to unlock actionable insights about our customers, products, and business.</p>\n<p>As a Senior Data Scientist, you will partner with product teams to help them identify important questions and answer those questions with data. You will work closely with product managers, designers, and engineers to develop key product success metrics, set targets, measure results, and outcomes, and size opportunities.</p>\n<p>Your responsibilities will include designing, building, and updating end-to-end data pipelines, working closely with stakeholders to drive the collection of new data and the refinement of existing data sources and tables. You will also partner closely with product researchers to build a holistic understanding of our customers, products, and business.</p>\n<p>You will influence our product roadmap and product strategy through experimentation, exploratory analysis, and quantitative research. You will build and automate actionable models and dashboards, craft data stories, and share your findings and recommendations across R&amp;D and the broader company.</p>\n<p>You will drive and shape core RAD foundations and help us improve how the RAD org operates.</p>\n<p>We are looking for someone with 5+ years of experience working with data to solve problems and drive evidence-based decisions. You should have excellent SQL skills and experience of applying analytical and statistical approaches to problem-solving. You should also have a proven track record of initiating and delivering actionable analysis and insights that drive tangible impact with minimal supervision.</p>\n<p>Excellent communication skills (technical and non-technical) and a focus on driving impact are essential. A strong growth mindset and sense of ownership, innate passion, and curiosity are also required.</p>\n<p>Experience with a scientific computing language (such as R or Python) is necessary. Experience with BI/Visualization tools like Tableau, Superset, and Looker is a bonus. Experience working with product teams and leveraging AI tools to boost efficiency and creativity across the data science workflow is also desirable.</p>\n<p>We offer a competitive salary and equity in a fast-growing start-up. We serve lunch every weekday, plus a variety of snack foods and a fully stocked kitchen. Regular compensation reviews, life assurance, comprehensive health and dental insurance, open vacation policy, flexible holidays, paid maternity leave, and 6 weeks paternity leave are also part of our benefits package.</p>\n<p>Our working policy is hybrid, with employees expected to be in the office at least three days per week. 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