Data Scientist

Arlington, VA 20330

Posted: 09/26/2019 Category: Data Science Job Number: 281840-0_1 Salary: $85,000 - 115,000

Job Description

Title: Data Scientist
Location: Arlington, VA
Salary: $85,000 - 115,000
Contact: Paul Chatlos, [email protected]

Data Scientist Company Overview

Our client is an audience-powered analytics company that: identifies a client's ideal audiences, analyzes how the audiences consume media for optimal advertising, integrates the audiences into platforms for linear, addressable and digital ad delivery, and measures how the audiences are being impacted by paid and earned media.

Data Scientist Job Description

Our client is looking for a Data Scientist to join our growing technology team. This is a great opportunity for recent graduates to get immediate hands-on experience solving large-scale business problems for top political, public affairs, and corporate advertisers. This is a high-impact role within a small and nimble team.

The Data Science group at the company is responsible for three main work streams:

Audience identification: We use techniques from survey research and machine learning to identify the people who matter to advertisers. Our audience modeling process gauges the likelihood that each person in America is interested in buying a new car, or concerned about taxes, or worried that a robot is going to take their job, among other things.

Media consumption measurement: We work with multiple sources of media consumption behavior, including data from television set top boxes, to make projections about the media consumption of our audiences. What percentage of Americans concerned about climate change watched The Voice last week? How often do new car buyers visit TheAtlantic.com? These are the kinds of questions we answer for brands, causes, and political campaigns.

Advertising impact assessment: Once an audience has seen an ad, what are they inspired to do? Our proprietary attribution models gauge how often households and individuals were exposed to advertising campaigns, and we work with advertisers to measure the purchases, donations, votes, and opinion shifts that arise from ad exposure.

Specifically, the Data Scientist will be tasked with the following:

-Build and test statistical models for audience identification.
-Work with engineering group to deploy audience identification models.
-Assist with designing new approaches to media consumption measurement and advertising impact assessment.
-Explore new datasets with an eye towards integrating them into our products.
-Keep up with the latest developments across the data science world.

Data Scientist Qualifications & Skills

-Bachelor's degree in mathematics, statistics, computer science, or related field.
-At least some hands-on experience with statistical modeling of large datasets; school or Kaggle projects are acceptable.
-Intermediate R knowledge, particularly with the "tidyverse" family of packages.
-Intermediate SQL knowledge (PostgreSQL and Microsoft SQL Server preferred)

Data Scientist Preferred Qualifications

-Basic Python skills
-Experience with Random Forest and multilevel GLM models
-Experience with data visualization tools like Tableau or Power BI
-Familiarity with big data tools such as Hadoop, Spark, or Amazon EMR

Data Scientist Characteristics of a Successful Candidate

-We are looking for smart, driven, likable and curious people.
-You need to be highly adaptable to a rapidly growing and changing business environment.
-You are a quick learner and problem solver.
-You are a good communicator, especially to non-technical and non-quant colleagues.
-You keep on top of latest developments in field.
-You have an ability and eagerness to constantly learn and teach others.
-You are an exceptional problem-solver and have a self-starter attitude.

Meet Your Recruiter

Paul Chatlos
Executive Recruiter

Paul specializes in the recruitment of quantitative marketing professionals. He prides himself in building excellent relationships with both clients and candidates in order to best address their hiring needs and career goals.
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