Manager, Data & Media Science

About the company

Known is a modern marketing company of over 200 people, pairing PhD data scientists with award-winning creatives, strategists, engineers, and expert research teams to produce innovative and cutting-edge creative work. We believe that when creative truly collaborates with science, strategy, and technology, amazing things can happen. Known has been recognized as #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 two consecutive years. Our work has earned numerous awards, including Emmys, Clios, Effies, Cannes Lions Awards, and Digiday’s Most Innovative Media Agency.

SKEPTIC™, Known’s proprietary AI analytics and optimization platform, powers our full-service agency and has received industry-wide recognition, including being named one of Fast Company’s Next Big Things in Tech (2025) and Digiday’s Best Marketing Analytics Platform (2023) and Best AI Platform (2025).

Known operates in a hybrid and distributed workforce model, with offices across the U.S. and remote employees.

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 clients to translate business goals into meaningful metrics and buy media across all channels to drive target outcomes.

As a Manager, Data & Media Science, you will lead the data science arm of our media campaigns, owning the client relationship for optimization and data. This is a primarily client-facing role with heavy project ownership, focusing on communicating with executive stakeholders.

Responsibilities

• Serve as the primary client point of contact on campaign optimization and data
• Delight clients with meaningful analyses, compelling stories, and polished presentations
• Own analytics, science, and optimization for media campaigns
• Collaborate with data analysts and 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

Requirements

• A degree from a well-regarded college or university; a Masters or PhD in a STEM field is preferred
• 3+ years of hands-on experience in quantitative analysis, modeling, optimization, and/or statistics
• Proficiency in Python and SQL
• 2+ years of experience directly communicating with senior stakeholders, managing relationships, and presenting technical subjects related to analytics, science, and data
• A desire to work on advertising challenges requiring flexibility in approach, including data strategy, on-the-fly analytics, statistics, machine learning, and algorithms
• Ability to strategically translate business challenges into quantitative problems and solve them using the most appropriate methods
• Eagerness to rapidly learn foundational knowledge and skills
• Commitment to managing the quality and accuracy of analytics, ensuring high standards in your work and others’
• Experience across multiple digital (e.g., social, programmatic) and/or traditional (e.g., linear TV, OOH) media channels
• Familiarity with major ad serving platforms (e.g., 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 (e.g., Google Analytics, Adobe Analytics), attribution and measurement systems (e.g., CM360, Videoamp), and deriving actionable insights for optimization
• Experience with local marketing or retail media is a plus

Benefits

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

Pay

The base salary for this position is $135K - $150K, posted in compliance with state and municipal Pay Transparency laws. This role is also eligible for additional Known benefits.