Staff Data Scientist, Product Analytics - Search

  • Company: LinkedIn
  • Posted: February 17, 2017
  • Reference ID: 1307810389
LinkedIn was built to help professionals achieve more in their careers, and every day millions of people use our products to make connections, discover opportunities and gain insights. Our global reach means we get to make a direct impact on the world's workforce in ways no other company can. We're much more than a digital resume - we transform lives through innovative products and technology. Searching for your dream job? At LinkedIn, we strive to help our employees find passion and purpose. Join us in changing the way the world works. Data Scientists on our team partner with product managers, engineers, and others to identify opportunities to develop and enhance products and features that connect our members with greater professional opportunity. We are looking for a strong, enthusiastic data scientist to join the team focusing on LinkedIn Search & Discovery products. With more than 10 billion professionally-oriented searches performed on LinkedIn every year, our Search team relies heavily on insights gained from data to guide feature development and metrics to detect improvements in experiments. The insights and metrics that our team provides point the Search team in the right direction and enable them to iterate quickly. Responsibilities: Inform product strategy, influence the product roadmap, and guide product decisions by: Accessing and analyzing the world's richest professional data to generate insights and make proactive recommendations. Formulating success metrics for search quality and search experience, onboarding them to our self-serve data system and experimentation platform. Designing and analyzing experiments to test new ideas for improving LinkedIn search. Developing data-driven solutions that add material lift to search relevance and experience.
Basic Qualifications: Degree in a quantitative discipline: computer science, statistics, applied mathematics, operations research, engineering, economics, or equivalent Programming experience in at least one scripting language such as Java, Python, C/C++ Experience working in a Unix/Linux environment
Preferred Qualifications: Knowledge and working experience in one of the following areas: online and offline relevance evaluation, user intent modeling, personalization.
4+ years' industry experience, ideally with consumer Web products, working with large amounts of real data Experience in Hadoop or other MapReduce paradigms and associated languages such as Pig, Hive, Presto, Spark, Sawzall, etc Proficiency in a Unix/Linux environment for automating processes with shell scripting. Experience with data visualization tools or packages. Expertise in applied statistics, especially around regression models and controlled experimentation Experience presenting insights to executive staff on a regular basis Working knowledge of web search systems and key concepts. Ability to translate business objectives into actionable analyses Passion for proactively identifying product opportunities through creative data analysis and modeling Ability to communicate findings clearly to both technical and non-technical audiences

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