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, Data & Media 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: targeting, audience segmentation, tracking, attribution methodologies (multi-touch, last-click), and key digital metrics (impressions, clicks, conversions, viewability, etc.)
• Experience with analytics and reporting platforms (ex: Google Analytics, Adobe Analytics), attribution and measurement systems (ex: CM360, Videoamp), and deriving actionable insights for optimization
• Experience with local marketing or retail media is a plus

SOME OF OUR PERKS

• Unlimited paid time off
• 401k with company matching and no vesting period
• Annual bonuses
• Generous medical plan
• Paid parental leave

ONE LAST THING TO ASK YOURSELF

All this might sound great, but you're probably still wondering, "Would I be a good fit for Known?" or "Would Known be a good fit for me?" Our culture is propped up by four values that we aspire to every day: We are one team. We see the good. We never stop learning. There's always a better way. At Known we are setting out to build something more than just a company. We are building a legacy filled with exceptionally talented people with a kaleidoscope of backgrounds, experiences, and origin stories who feel encouraged and empowered to bring their whole selves to work, and to partner with us in molding and shaping our culture through our values.

The base salary for this position is $135K - $150K.

This range is posted in compliance with state and municipal Pay Transparency laws. In addition to base compensation, this role is eligible to receive additional Known benefits.

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