Junior Data Scientist

L2 was founded in 2010 on the belief that a brand's digital competency is inextricably linked to shareholder value. L2 uses proprietary research and tools, combined with academic rigor and progressive design, to provide managers with visibility into a brand's digital performance. L2 is tracking over 5,000 global brands and works with the prestige and consumer sectors' largest and most iconic enterprises and brands.

L2 is looking for a Junior Data Scientist to work collaboratively with our Research team on projects ranging from data collection to reporting to visualization. This person will be tasked with developing new capabilities for our data platform, as well as supporting the ongoing work of the Research team. A typical week may involve writing a custom data transformation script, creating a new reporting dashboard, and collecting data from a third party API. The ideal candidate should feel comfortable juggling multiple projects and working as part of a cross-discipline team of data scientists, engineers, and researchers to solve problems.

• Data Collection: Write scripts and/or use third party tools to collect data from APIs and websites
• Data Transformation: Convert raw data into usable metrics. Can include cleaning, interpolation, rollups, stats, and mashups of multiple data sources
• Analysis: Ad hoc scripts to extract meaning from the underlying data and answer relevant business questions
• Reporting & Visualization: Surface data via custom reporting dashboards, interactive D3.js visualizations, and third party platforms
• Automation: Deploy software to AWS to execute on a regular schedule
• Data Architecture: Work with Research team to define and implement relevant metadata
• R&D: Experiment with computer vision, sentiment analysis, and other technology initiatives

• 1-2 years of experience
• Experience with digital data such as display advertising, web analytics, e-commerce or social data
• Implementation of code into production, not only for analysis purposes
• Strong SQL skills
• Strong Python/Pandas skills
• Ability to conduct basic statistical analysis such as ANOVA, Linear Regressions, t-tests
• Strong communication skills
• MySQL or Postgres is a plus
• Tableau or other reporting platform is a plus
• Experience tapping APIs for data collection is a plus