Data Scientist – NYC

Your Role

We’re looking for an ambitious data and statistics specialist, with 2-3 years’ experience, who’s eager to apply data science approaches to big, strategic insights projects for the world’s leading brands, and for the freedom and support to help us build a robust, innovative, industry-leading data science practice.

This role offers the opportunity to work across big brands on big strategic questions, and to work with a collaborative, multi-disciplinary team of ethnographers, photojournalists, cultural anthropologists, survey builders, behavioral scientists, and strategists. 

We’re looking for candidates who have the energy and desire to innovate, who want a new set of client challenges to solve, and who are interested in combining data-led techniques with leading edge ethnography and behavioral science. We will provide the space, support and culture to help ensure success.

Your Responsibilities

• Help lead the design and execution of the ethnographic & qualitative portions of client projects 
• Help build out and lead our qualitative research innovation agenda
• Help build new ethnographic and qualitative products & techniques
• Help create PowerPoint storylines for client projects that drive consumer, cultural and brand understanding 
• Attend client meetings, and help respond to client questions and requests when needed 
• Attend and contribute to all internal team meetings and brainstorms
• Keep abreast of the newest resources, approaches and techniques in data, statistics and analytics

Qualified candidates will have

• Undergraduate degree (ideally in mathematics, statistics, or a related degree)
• Strong academic background
• 2-3 years of relevant work experience
• Demonstrable, advanced quantitative analysis and statistics skills 
• In-depth knowledge of at least one of the key data analysis platforms (e.g. Python, R, SPSS)
• Ability to build analyses for different data types (big data sets, survey data, time-series data)
• Ability to pull out compelling insights from the data
• High attention to detail without sacrificing the big picture
• Ability to work across multiple projects while meeting deadlines
• Strong interpersonal and communication skills, and a collaborative, constructive approach
• A natural interest in the data science field and how it’s changing