Manager, Buyer Science
KnownAbout the role
WE HAVE CREATED A WORLD WHERE ART AND SCIENCE ARE BEST FRIENDS
Known is a modern marketing company engineered for the unprecedented opportunities and challenges facing marketers today. We are about 200+ people strong, pairing PhD data scientists with award-winning creatives, strategists, engineers and expert research teams to produce some of the most innovative and cutting-edge creative work in culture. We believe that when creative truly collaborates with science, strategy, and technology, amazing things can happen.
Ad Age touted that “Known may be the ultimate example of a full-service agency,” and honored us with two prestigious recognitions this year: #3 on The A-List as one of the top agencies in the world, and Ad Age’s Data & Insights Agency of the year for the second year in a row. Without our incredible partnerships with our clients, spanning across the leading brands in finance, technology, entertainment, media, CPG, real estate, and many other categories, honors like this could not be possible, and also have helped us earn additional awards and recognitions over the years like: Emmys, Clios Entertainment and Sports Awards, Effies, Cannes Lions Awards, ProMax Agency of the Year, and Digiday’s Most Innovative Media Agency to name a few.
We couldn’t create this award-winning work without seeking out and hiring the best talent. What does it mean to be a Knowner? We are curious innovators, knowledge-hunters who are constantly challenging ourselves to do better and be better for our clients, for our team and for our world at large. Our offices around the U.S. are open and while most of our people work in a hybrid setting, we are a distributed workforce with a number of Knowners working remotely.
BUT ENOUGH ABOUT US, LET'S TALK ABOUT YOU
About the role:
Known’s Media Science team uses advanced analytics, machine learning, statistics, and algorithms to plan and optimize advertising dollars. We partner with our clients to translate their business goals into meaningful metrics, and buy media across all channels to drive those target outcomes.
We are looking for a Manager, Buyer Science to join the team and work alongside strategists, analysts, data scientists, and software engineers. In this role, you will lead the data science arm of our media campaigns, owning the relationship with the client when it comes to optimization and data. You will be in a primarily client-facing position with heavy project ownership and emphasis on communicating with executive stakeholders.
WHAT YOU’LL DO
- Serve as the primary client point of contact on campaign optimization and data
- Delight our clients with meaningful analyses, compelling stories, and beautiful slides
- Own analytics, science, and optimization for our media campaigns
- Work with other data analysts & scientists to deliver rigorous measurement, consistent campaign performance, and insightful reporting
- Consult with agency and client leadership to set measurement frameworks, design experiments (A/B, incrementality, geo-testing), and evaluate campaign lift and ROI across channels
- Stay current on industry trends in digital media, analytics, and privacy regulations
Seniority is flexible and subject to experience.
WHO YOU ARE AND WHAT YOU HAVE
- A degree from a well-regarded college or university, preferably a Masters or PhD. STEM degrees are also preferred.
- 3+ years of hands-on experience doing quantitative analysis, modeling, optimization and/or statistics. Experience using Python and SQL.
- 2+ years of experience directly communicating with senior stakeholders, managing relationships, and presenting decks to a variety of audiences, all on technical subjects related to the analytics, science, and application of data
- A desire to work on advertising challenges that require flexibility in approach -- everything from data strategy, on-the-fly analytics, statistics, machine learning, and algorithms
- An ability to strategically translate business challenges into quantitative problems, and solve them by whatever means are most appropriate and effective, which may not always be strict machine learning
- An eagerness to learn foundational knowledge and skills rapidly
- A commitment to managing the quality & accuracy of analytics, ensuring high standards with your and others’ work
- Experience across multiple digital (e.g., social, programmatic) and/or traditional (e.g., linear TV, OOH) media channels
- Familiarity with major ad serving platforms (ex: Google Ad Manager, DV360, The Trade Desk)
- Competence with campaign setup parameters, including
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