Applied Data Scientist I (Contract)

What we do

At Civis Analytics, we bring objective, data-driven truth to organizational decision-making—from the boardroom to the world’s largest social causes.

This mission isn’t an aspiration: it’s something we see realized every day, and it brings purpose to everything we’re working on.

We combine a sophisticated SaaS product with our specialized data science consultancy to empower tens of thousands of active users to make millions of data-driven decisions every month. From joining disparate data sources and automating reporting, to building more elaborate models of targeted audiences and optimizing messages for them, organizations like the Bill and Melinda Gates Foundation, the City of Boston, and iHeart Radio trust Civis’s technology to make their most critical decisions.

Core to our product and consulting offerings is Civis Platform, which makes it easy to import, manage, transform, analyze, and report on data. Our customers love Civis Platform because it empowers them to focus on finding data-driven answers to their most critical questions—in other words, we empower them to run their business, rather than running a tech stack. 

Learn more about Civis at www.civisanalytics.com.

What we are looking for

The Applied Data Science (ADS) team is the consultancy arm of Civis Analytics, working closely with clients to help solve their toughest challenges with data science. 

Responsibilities

• An Applied Data Scientist is responsible for the end-to-end execution of new client engagements utilizing data science, which includes:
• Unifying large 1st- and 3rd-party datasets and building predictive models
• Deriving clear, actionable, and timely insights from analyses
• Creating client-ready materials and solutions for stakeholders of varying technical experience or familiarity with methods
• Working with cross-functional teams of data scientists and software engineers where necessary to create and implement solutions
• Other job responsibilities of an Applied Data Scientist include:
• Creatively identifying opportunities in the solution delivery process for scalable applications, and collaborating with other teams to further construct these tools
• Maintaining a continuous and independent education of cutting-edge statistical techniques and programming languages

Minimum Qualifications

• Bachelor’s degree in an analytical subject (statistics, math, economics, physics, engineering, business, political or social science, computer science, etc.)
• Proven affinity for and experience working with large or messy data sets
• SQL experience a plus
• Experience with statistical programming languages (R, Python, etc.) …