Senior Applied Data Scientist (Media Mix Modeling)

What we do

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

Job Description

Are you interested in using data science to solve new and challenging problems in innovative ways — like helping a media conglomerate measure the impact of their marketing and advertising campaigns to optimize investments across a wide range of media channels? Civis Analytics is looking for a Sr. Applied Data Scientist to join our commercial Applied Data Science (ADS) practice and help us solve some of the most challenging and interesting questions facing Media businesses today.

The Applied Data Science team is the advisory arm of Civis Analytics, working closely with organizations to help solve their toughest challenges with data science. Our Media sector practice provides data science solutions for media conglomerates, nonprofits, and advocacy groups seeking to leverage media-mix-modeling to reach their target audiences in the most effective way.

Responsibilities

• A Senior ADS runs the end-to-end execution of client engagements utilizing data science, which includes:
• Handling client relationships and communication on day-to-day projects and initiatives, with stakeholders of varying technical experience or familiarity with methods
• Leading and structuring project research design, including statistical analysis, modeling techniques, and data management methods, and working with cross-functional teams of data scientists and software engineers where necessary to create and implement solutions
• Managing the unification of large 1st- and 3rd-party datasets, and building predictive models
• Translating findings into clear, actionable, and timely insights with the appropriate business context

• As part of the Media sector practice:
• Work closely with Applied Data Science teams to develop performance measurement reporting and media mix modeling to demonstrate the impact of cross channel activities through media
• Influence and collaborate on channel-level media strategies based on marketing, audience, and consumer insights.
• Collaborates with stakeholders and leadership to ensure that the most effective channel mix is implemented to achieve our customer’s strategic business priorities

• Other job responsibilities include:
• Creatively identifying opportunities in the solution delivery process for scalable applications, and collaborating with other teams to further construct these tools
• Assisting with new business development by scoping projects, writing proposals, and building case studies and other collateral
• Maintaining a continuous and independent education of cutting-edge statistical techniques and programming languages
• Teaching and mentoring more junior Applied Data Scientists

Qualifications

• Must have experience with Media or Marketing Mix Modeling
• Bachelor’s degree in an analytical subject (statistics, math, economics, physics, engineering, business, political or social science, computer science, etc.)
• 6+ years of work or post-graduate experience in a field of analytical science
• Proven success in using data insights and analytics to inform audiences, markets, and targeting to optimize campaign performance and drive acquisition
• Experience in designing and analyzing in-market survey research
• Understanding of online and offline media planning to define and rationalize the best channel mix to maximize the reach and impa