Senior Associate, Economic Graph Analytics New York or San Francisco
LinkedIn's vision is to create economic opportunity for every member of the global workforce. The Economic Graph team mission is to reach that vision by bringing to life data and pilot projects that help leaders address the challenges of the modern workforce and help members outside of LinkedIn's core navigate their education and employment challenges.
The Analytics team is looking for a talented and driven data scientist to join our team to support projects partnering with governments, NGOs, and think tanks. Our projects have ranged from understanding talent migration to computing the relative supply and demand of skills on a local, national, and international level. We are looking for an individual passionate about mining big data, turning data into insights, and making an impact through rigorous analysis, creative storytelling, and timely actions. This highly-visible role requires an adaptable analytics professional that can turn broad, ambiguous questions into tangible insights communicated clearly to partners.
Responsibilities Analyze large datasets to investigate key regional trends, behaviors and metrics Act at Economic Graph scale; take customized one-off analyses and scale them to represent millions of members Brainstorm creative solutions to economic problems, and support solutions with hypothesis-based analytical evidence Build reports, dashboards, models and tools to help our policy team communicate the value of LinkedIn to external stakeholders Perform external research to refine hypotheses and cross-validate results Consult and communicate with LinkedIn's policy team and external policy leaders to showcase Economic Graph insights Stay up to date on economic theories that can inform new intellectual property/research projects Assist with developing strategy and managing operational metrics for various initiatives Coordinate cross-functionally with engineering, PR, marketing, product and sales to drive business objectives
Bachelor's degree in a quantitative or social sciences field of study such as Computer Science, Engineering, Statistics, Economics, and Public Policy Experience using R, Python, or other scripting languages for data prep, analysis, and machine learning Experience using SQL analyzing datasets with databases such as Teradata, Oracle, and MySQL 3+ years of research and/or analytics experience within a relevant industry or organization (Ex. tech, social media, finance, retail, research institutes).
Masters or PhD degree in a quantitative or social sciences field of study Background and experience in statistics, predictive modeling, and machine learning Experience working in the internet industry, on social impact, public policy or consulting Experience with applied social science research or familiarity with publicly-available government data sets such as those provided by the BLS, Census Bureau, and the Department of Labor Experience with Hadoop (Hive, Pig, or MapReduce) Familiarity with data visualization and/or BI tools (Ex. Tableau, PowerBI) Experience in ETL tools and processes Experience using scripting languages such as Unix shell, Python, and PHP Strong oral and written communication skills. Strong ability to communicate findings clearly to both technical and non-technical audiences. Ability to interact internally and externally to drive business and technical discussions
A little about us:
LinkedIn's vision is to create economic opportunity for every member of the global workforce. Our employee talent is our #1 operating priority.