LinkedIn is seeking a Senior Data Scientist to join the Data Science team in Mountain View, California, in a hybrid role (work from home and select days at a LinkedIn office). The data science team leverages big data to empower business decisions and deliver data-driven insights, metrics, and tools to drive member engagement, business growth, and monetization. You will collaborate with product, marketing, sales, engineering, policy, and operations to develop and deliver metrics, analyses, solutions, and insights with actionable recommendations to business partners. Responsibilities include partnering with cross-functional teams on large-scale strategic projects, shaping product and business strategy through data-centric presentations, identifying opportunities to optimize product performance or go-to-market strategies, analyzing large-scale structured and unstructured data, developing deep-dive analyses and machine learning models, designing and developing core business metrics, dashboards, and visualizations, designing experiments (A/B tests), and mentoring junior team members. Qualifications include a Bachelor's degree in a quantitative discipline, 3+ years of relevant experience, SQL, programming in Python/R/Scala, applied statistics and modeling, data storytelling, and experience running experiments. Preferred qualifications include advanced degrees and experience manipulating massive-scale data, Unix command-line, git, and experience with public data. The role offers a pay range of $121,000.00 to $198,000.00, plus potential bonuses, stock, and benefits. This is a hybri

LinkedIn is seeking a Senior Data Scientist to join the Data Science team in Mountain View, California, in a hybrid role (work from home and select days at a LinkedIn office). The data science team leverages big data to empower business decisions and deliver data-driven insights, metrics, and tools to drive member engagement, business growth, and monetization. You will collaborate with product, marketing, sales, engineering, policy, and operations to develop and deliver metrics, analyses, solutions, and insights with actionable recommendations to business partners. Responsibilities include partnering with cross-functional teams on large-scale strategic projects, shaping product and business strategy through data-centric presentations, identifying opportunities to optimize product performance or go-to-market strategies, analyzing large-scale structured and unstructured data, developing deep-dive analyses and machine learning models, designing and developing core business metrics, dashboards, and visualizations, designing experiments (A/B tests), and mentoring junior team members. Qualifications include a Bachelor's degree in a quantitative discipline, 3+ years of relevant experience, SQL, programming in Python/R/Scala, applied statistics and modeling, data storytelling, and experience running experiments. Preferred qualifications include advanced degrees and experience manipulating massive-scale data, Unix command-line, git, and experience with public data. The role offers a pay range of $121,000.00 to $198,000.00, plus potential bonuses, stock, and benefits. This is a hybri