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Subject:
From:
Dan Hopkins <[log in to unmask]>
Reply To:
Political Methodology Society <[log in to unmask]>
Date:
Tue, 28 Sep 2021 20:09:03 -0400
Content-Type:
text/plain
Parts/Attachments:
text/plain (124 lines)
Dear POLMETH Colleagues,

Please see the note below from Masa Aida ([log in to unmask]).

Best,
Dan

############

I have an open position at Applecart.  Our team handles both social graph
targeting as well as the application of social science methods to solve
real-world problems.

thanks, please apply from below - Masa

https://www.applecart.co/careers?gh_jid=4422370003
<https://urldefense.com/v3/__https://www.applecart.co/careers?gh_jid=4422370003__;!!IBzWLUs!BuAYNXvXD9uLprwBRLLTLW90VtqR-Re2dt5kR4PB_0auy2PpbxyivKffFFIq-W6mpg$>

*Examples*

   - Social graph-based targeting

   - Application of machine learning models and RCT messaging to help our
   partners to increase the efficiency of COVID-19 sign up for the local
   government

   -  Building ML models and forecasts for political campaigns

   - Use of experiment and conjoint to allow our clients better shape
   messaging and candidate recruitment


*Data Analyst Fellow, Politics & Advocacy*
New York, New York
Applecart is a high-growth marketing technology company based in New York
City, founded in 2013. Applecart has developed a proprietary social graph
platform that uses publicly available data to map over 25 billion social
relationships between more than 250 million adult Americans. Applecart’s
platform helps major corporations, national nonprofit organizations, and
high-profile political campaigns with their highest-stakes marketing
challenge: reaching hard-to-reach audiences of decision-makers, spanning
corporate executives, legislators, regulators, investors, members of the
media, and more.

For years, marketing technology businesses have focused on solving b2c
(consumer) marketing challenges (e.g. look-a-like modeling to find new
customers), but the traditional pay-per-impression advertising model has
left a massive opportunity unsolved for how to market when a company’s
target isn’t the average consumer but is instead a single, senior
decision-maker. Applecart is the solution to this problem for some of the
world’s most prominent organizations.

*Quick facts about us:*

 Applecart has generated over $40M in revenue and is growing 100%+ Y-o-Y
Our senior leadership team includes two members of the 2021 Forbes 30 under
30 list for Marketing and Advertising, a former senior White House advisor,
one of the earliest sales leaders at Google and Twitter, and two of the
Democratic Party’s most successful pollsters and strategists
Our investors include global sports, entertainment and marketing giant
Endeavor, KKR Co-Chairman and Co-CEO Henry Kravis, entrepreneur Chris
Burch, a founder of Palantir, senior engineering leaders at Twitter and
Yelp, past CEOs of Fortune 50 companies and a number of well-known venture
capitalists. Endeavor CEO Ari Emanuel is a board member of the company.
Our work has been featured on Morning Joe on MSNBC, Bloomberg and The
Colbert Report, and in Axios, BusinessWeek, the Associated Press, Forbes,
the Washington Post, and Politico, among many others.
About the Role

We are looking for creative, self-motivated, flexible thinkers to join our
team as a Data Analyst Fellow. Working with Applecart’s political
strategists, data analysts, and data scientists, the Data Analyst Fellow
will contribute to targeting, analytics, and polling efforts on behalf of
some of the country’s most prominent trade associations, political
campaigns, non-profits, independent expenditure efforts, and corporations.
This role is a full-time 6-month contract position with the possibility of
becoming a full-time permanent role.

* What You’ll Do*

Work quickly and fluently in SQL to assess, ingest, and transform raw
datasets into digestible analytics reports
Partner with other data analysts to build predictive models using
Applecart’s social graph, demographic, and political behavior datasets
Translate findings from data analysis into digestible reports for
non-technical, client audiences
Build advertising audiences for targeting and marketing that will drive
maximum ROI with limited client resources
Draft survey questionnaires, create targets for weighting, create
top-lines, and QC the result.
Who You Are

*Qualifications:*

College level coursework in statistics, survey research, data analysis,
sampling or mathematics
Ability to manage multiple tight timelines with competing deadlines
Outstanding attention to detail, you find the things others miss
Interest in or passion for politics, the legislative process, technology,
data analytics, and data science
Ability to produce intuitive, client-ready data reports and visualizations
Preferred Qualifications:

Experience working in advocacy, public affairs, political campaigns, public
policy, product marketing, market research, or marketing analytics
History of being a self-starter and proactive team member
Experience with Python
Proficient in SQL
Experience with survey research and experimental design techniques (A/B
testing, RCT, etc. )

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