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Remote · Unlimited leave

Manager - Data & Media Science

Known · New York City · United States

Remote USD 135k–150k / year Posted Open until 18 Oct 2026
  • Remote 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. — job description
  • Unlimited leave Unlimited paid time off — job description

The job, in the employer's words

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. 

SKEPTIC™, Known’s proprietary AI analytics and optimization platform, powers our full service agency and has received industry-wide recognition for innovation in marketing technology and analytics. In 2025, SKEPTIC was recognized by Fast Company as one of the Next Big Things in Tech. Additionally, Digiday recognized SKEPTIC as Best Marketing Analytics Platform (2023) and the Best AI Platform (2025). Together, these honors underscore SKEPTIC’s evolution into an award-winning platform now being licensed to enterprise marketers.

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, 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.

Known is an equal opportunity employer and does not discriminate against employees or qualified job applicants on the basis of race, color, sex, age, national origin, religion, sexual orientation, gender identity and/or expression, status as a veteran, and basis of disability or any other federal, state or locally protected class.

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.

#LI-RR1

Requirements mentioned

  • 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

No Mondays shows this listing as the employer published it. Check the details on the employer's site before you apply.

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