Digital Republic Talent
Overview
Be among the first 25 applicants. Get AI-powered advice on this job and more exclusive features. Base salary
$135,000.00/yr - $150,000.00/yr Position
Manager, Buyer Science – Hybrid (2/3 days in office) – New York, Manhattan – $130 to $150k Company Overview
We’ve created a world where art and science work hand-in-hand. This modern marketing organization is built for today’s data-driven creative landscape, pairing PhD-level data scientists with award-winning creatives, strategists, engineers, and research experts to produce innovative, culture-shaping work. The team blends data, strategy, and technology to deliver measurable outcomes for clients across sectors, including finance, technology, entertainment, media, CPG, and real estate. Around 300 people strong, curious innovators, knowledge-hunters, and collaborators who challenge ourselves to do better for our clients, our teams, and our world. While many of our team members work hybrid, we also support remote flexibility for the right talent. About the Role
The Media Science team uses advanced analytics, machine learning, statistics, and algorithmic modelling to plan and optimise advertising investments. We partner closely with clients to translate business goals into measurable metrics and drive performance across all media channels. We’re looking for a Manager, Buyer Science to join the team and collaborate with strategists, analysts, data scientists, and software engineers. In this client-facing role, you’ll lead the data science arm of media campaigns, manage key relationships, and communicate insights and optimisations directly to senior stakeholders. What You’ll Do
Serve as the primary client contact for campaign optimization and data insights. Deliver meaningful analyses and compelling, story-driven presentations. Own the analytics, science, and optimization of multi-channel media campaigns. Collaborate with data analysts and scientists to ensure performance consistency and measurement accuracy. Partner with internal and client leadership to design measurement frameworks, experiments (A/B, incrementality, geo-testing), and evaluate ROI across media. Stay informed on evolving trends in digital media, analytics, and data privacy. Who You Are
Master’s or PhD preferred (STEM disciplines strongly favored). 3+ years of hands-on experience in quantitative analysis, modeling, optimization, or statistics (Python and SQL required). 2+ years managing senior stakeholder communication and presenting technical insights clearly. Strong analytical and strategic problem-solving ability, able to translate business challenges into data-driven solutions. Comfortable working across data strategy, analytics, statistics, and algorithmic experimentation. Experience in digital (social, programmatic) and/or traditional (TV, OOH) media channels. Familiarity with ad serving, targeting, and attribution platforms (Google Ad Manager, DV360, The Trade Desk, etc.). Proficiency with analytics and reporting platforms (Google Analytics, Adobe Analytics, CM360, VideoAmp, etc.). Experience with local marketing or retail media is a plus. Salary
Base salary range:
$135K – $150K (depending on experience and location). How Do You Apply?
If you are interested in applying for the Manager, Buyer Science role, please do so via the link on this page or contact Digital Republic on the phone or email. Contact
Get in contact with Digital Republic Talent by sending an email to abid@digitalrepublictalent.com. Check out the website at www.digitalrepublictalent.com. You can also find out more on LinkedIn, Instagram or Facebook. Seniority level
Mid-Senior level Employment type
Full-time Job function
Advertising and Marketing Industries
Marketing Services and Advertising Services We’re unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI.
#J-18808-Ljbffr
Be among the first 25 applicants. Get AI-powered advice on this job and more exclusive features. Base salary
$135,000.00/yr - $150,000.00/yr Position
Manager, Buyer Science – Hybrid (2/3 days in office) – New York, Manhattan – $130 to $150k Company Overview
We’ve created a world where art and science work hand-in-hand. This modern marketing organization is built for today’s data-driven creative landscape, pairing PhD-level data scientists with award-winning creatives, strategists, engineers, and research experts to produce innovative, culture-shaping work. The team blends data, strategy, and technology to deliver measurable outcomes for clients across sectors, including finance, technology, entertainment, media, CPG, and real estate. Around 300 people strong, curious innovators, knowledge-hunters, and collaborators who challenge ourselves to do better for our clients, our teams, and our world. While many of our team members work hybrid, we also support remote flexibility for the right talent. About the Role
The Media Science team uses advanced analytics, machine learning, statistics, and algorithmic modelling to plan and optimise advertising investments. We partner closely with clients to translate business goals into measurable metrics and drive performance across all media channels. We’re looking for a Manager, Buyer Science to join the team and collaborate with strategists, analysts, data scientists, and software engineers. In this client-facing role, you’ll lead the data science arm of media campaigns, manage key relationships, and communicate insights and optimisations directly to senior stakeholders. What You’ll Do
Serve as the primary client contact for campaign optimization and data insights. Deliver meaningful analyses and compelling, story-driven presentations. Own the analytics, science, and optimization of multi-channel media campaigns. Collaborate with data analysts and scientists to ensure performance consistency and measurement accuracy. Partner with internal and client leadership to design measurement frameworks, experiments (A/B, incrementality, geo-testing), and evaluate ROI across media. Stay informed on evolving trends in digital media, analytics, and data privacy. Who You Are
Master’s or PhD preferred (STEM disciplines strongly favored). 3+ years of hands-on experience in quantitative analysis, modeling, optimization, or statistics (Python and SQL required). 2+ years managing senior stakeholder communication and presenting technical insights clearly. Strong analytical and strategic problem-solving ability, able to translate business challenges into data-driven solutions. Comfortable working across data strategy, analytics, statistics, and algorithmic experimentation. Experience in digital (social, programmatic) and/or traditional (TV, OOH) media channels. Familiarity with ad serving, targeting, and attribution platforms (Google Ad Manager, DV360, The Trade Desk, etc.). Proficiency with analytics and reporting platforms (Google Analytics, Adobe Analytics, CM360, VideoAmp, etc.). Experience with local marketing or retail media is a plus. Salary
Base salary range:
$135K – $150K (depending on experience and location). How Do You Apply?
If you are interested in applying for the Manager, Buyer Science role, please do so via the link on this page or contact Digital Republic on the phone or email. Contact
Get in contact with Digital Republic Talent by sending an email to abid@digitalrepublictalent.com. Check out the website at www.digitalrepublictalent.com. You can also find out more on LinkedIn, Instagram or Facebook. Seniority level
Mid-Senior level Employment type
Full-time Job function
Advertising and Marketing Industries
Marketing Services and Advertising Services We’re unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI.
#J-18808-Ljbffr