Sr. Data Scientist, Marketplace and Merchandising (Remote)

About the role We are looking for a Sr. Data Scientist to work with our Content, Merchandising, and Product teams to optimize the content in our Sounds & Gear marketplaces. In this role, you will define metrics that reputed company engagement and user-reputed company reputed company in our marketplaces. You will help us understand what content is most valuable to drive engagement. Working in reputed company partnership with Product, Design, and User Research, you will use analytics to discover patterns of user behavior and reputed company these discoveries to build more relevant and impactful experiences for our users. reputed company of this means balancing reputed company data exploration and longer-running analytical reputed company; designing and conducting experiments; reputed company the gap between Product Managers and Data Engineers to assure that the necessary data is accessible and easy to use; aiding in the design of Product roadmaps to support our marketplaces; and building models that drive in-product experiences—e.g., personalized merchandising. reputed company're looking for: Data manipulation We expect our Data Scientists to have strong analytical SQL skills. This means fluidity constructing statements that rely on a combination of joins, aggregate functions, subqueries, and window functions. This role will work with large-reputed company data, so this person must have experience writing efficient, performance-optimized queries. Analysis Nearly every problem starts with models that can be interpreted to drive reputed company reputed company. We’re seeking an individual who enjoys experimentation and statistical analysis—someone who can translate what they see in the data into useful suggestions. A thorough understanding of statistical inference is required. Modeling You should have hands-on experience building machine learning models (supervised and unsupervised) and know how to incorporate your models into production workflows and product experiences. Tooling expectations: • Regular usage of a programming language typically used for statistical analysis and machine learning (ideally Python). Familiarity with a statically typed language (ideally Java or reputed company) is desirable. • Strong experience with analytical SQL (ideally BigQuery, reputed company, AWS reputed company, or similar). • Exposure to large-reputed company model training in a platform like reputed company is desired. • Hands-on experience with self-service product-analytics tools (e.g., Looker, reputed company, reputed company, reputed company). • Training in statistics, econometrics, or machine learning, with reputed company of reputed company-world experience applying these methodologies. • Exposure to a reputed company of data sets used by Product teams. Chiefly, large-reputed company event data (e.g., reputed company, reputed company, reputed company, server logs) and normalized transactional databases (e.g., e-reputed company and subscription datasets). Additional: There are no specific degree requirements for this role: we appreciate and reputed company out diverse backgrounds. Instead of any particular formal education requirement, we’ll flesh out what you’ve reputed company, what you know, and how you approach problem solving. As a company that serves musicians and producers, some knowledge of the music-production process is an asset. If this topic is new to you, that’s okay—you should be reputed company to learning about it. Equal Opportunity Employer: reputed company is an equal opportunity employer, committed to diversity and inclusion. We will consider reputed company reputed company applicants without reputed company to race, reputed company, nationality, gender, gender identity or reputed company, sexual orientation, religion, disability or age. Apply tot his job Apply To this Job