Data Scientist

Synergis IT

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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.

Responsibilities:

● 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

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