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Associate Data Scientist - NYC Headquarters

Data Science | New York, NY | Full Time

Job Description

Job Description

About Unified

Unified is a leading provider of social advertising services and solutions powered by data and technology. Our proprietary technology is designed to change the business of social by helping brands achieve unprecedented social marketing results. Unified provides expert Managed and Professional Services super-charged by innovative operations and insights platforms, as well as cutting-edge Data Management and Audience Insights solutions. With a range of offerings, we are able to create custom solutions for our clients, tailored to their needs and goals. Headquartered in New York City and with offices in Los Angeles and Atlanta, Unified has managed over $5B in social advertising data for the world’s largest brands and agencies and run more than $1B in social advertising campaigns. 

For the last four years, Unified has been recognized by AdAge and Crain’s as one of the “Best Places To Work”.  For more information, visit or follow @Unified on Twitter. Unified is an equal opportunity employer.


Who you are:

You enjoy combing through large data sets and finding patterns within the noise.  You’re always looking to innovate current processes and you get excited when tackling problems you haven’t seen before. You have a strong analytics and programming background and are ready to start applying this to the world of data science. 

What you’ll do:

As an Associate Data Scientist, you will derive impactful insights from data to drive intelligence for Unified and it’s clients. You will work with your fellow data science team members to define and scope data science solutions to solve complex problems. You will help build, improve, and test robust statistical and machine learning solutions that will drive impact throughout the organization.

Need to have: 

  • 2+ years experience in a data analytics role

  • Experience with ETL processing and data wrangling including fetching, munging, cleaning, pivoting, analyzing, aggregating, distributing, and visualizing

  • Advanced programming skills in Python

  • Proficiency in SQL and knowledge of RDBMs like Postgres and Redshift

  • Basic knowledge of statistics, algorithms, data structures, and machine learning

  • Bachelor’s or higher in a quantitative field

Nice to have:

  • Experience with social media or advertising technology

  • Experience with AWS

  • Experience with Spark and the big data ecosystem

  • Experience using Git and the Unix command-line

  • Familiarity with Python web frameworks such as Django

  • Familiarity calling RESTful web services, specifically social APIs (Facebook, Twitter, LinkedIn, YouTube, etc.)

  • Data visualization skills, including JavaScript libraries such as D3 and Highcharts