Data Scientist

Key Skills

Java Programming, Python Programming, C++, SQL, PowerBI, Apache Hadoop, Data Visualization, QlikView, Tableau, MapReduce, Apache Pig, R Programming, MicroStrategy, Large scale data processing

Job Description

Overview

• Extract and analyze LinkedIn data to derive actionable insights
• Formulate success metrics for completely novel products, socializing them and creating dashboards/reports to monitor them
• Design and analyze experiments to test new product ideas and convert the results into actionable product recommendations
• As an end consumer of the data, determine the tracking necessary to enable analytics of our products and features by working closely with product and engineering partners
• Enable others in the organization to utilize your work by onboarding new metrics into our self-serve data system and the experimentation platform
• Develop models and data-driven solutions that add material lift to principal performance metrics

Basic Qualifications:

• BS/MS degree in a quantitative discipline: statistics, applied mathematics, operations research, computer science, engineering, economics, etc.
• 2+ years of experience developing applications, software and web analytics
• 2+ years of work experience providing analytical insights and business reports to product or business functions
• 2+ years of experience with Tableau, QlikView, Microstrategy or other data visualization and BI dashboarding tools
• 1+ years of experience programming in Java or Python and working with large datasets

Preferred Qualifications:

• Experience in Hadoop or other MapReduce paradigms and associated languages such as Pig, Sawzall, etc.
• Experience presenting insights to executive staff on a regular basis
• Expertise in applied statistics and in at least one statistical software package, preferably R
• Proficiency in SQL and in a Unix/Linux environment for automating processes with shell scripting
• Advanced skills in Java/C++
• Ability to communicate findings clearly to both technical and non-technical audiences
• Ability to translate business objectives into actionable analyses