Company description Hi there—at Razorfish, we’re leaders in what's next. Since the dawn of the internet, we’ve helped brands move first through every era of transformation, defining what digital means for business and now leading brands into the age of AI. Everyone has a prediction. Razorfish has a track record. Named a Most Innovative Agency three years running (2024–2026) by Campaign US, our work reflects a proven ability not just to anticipate what’s coming, but to help our clients actively shape the future. No matter the trend or cultural moment, delivering real business impact wouldn’t be possible without our people. We bring together curious, driven, and diverse thinkers who challenge convention, push boundaries, and hold a high bar for creative excellence. If you’re motivated to work alongside top performers, push the boundaries of what’s possible, and help define where technology, business, and marketing are headed next—this is the place to do it. Join us at razorfish.com. Overview We’re looking for a Director, Data Science & Analytics to play a key leadership role within our media-focused Data Science & Analytics practice. This is a highly visible, client-facing position for someone who can connect media, marketing technology, measurement, and data strategy to drive smarter decisions and stronger business outcomes. You’ll serve as a trusted advisor to senior clients and internal teams, bringing a strong point of view on how data and analytics can improve media effectiveness. You'll bring deep technical and measurement expertise with exceptional storytelling and leadership skills. You’ll influence strategy, guide teams, shape solutions, and translate complex analysis into clear, actionable recommendations for executive audiences. Responsibilities Partner with account and other leadership to develop scopes of work, deliverables, staffing plans, and analytics roadmaps aligned to client priorities. Lead the development and quality of work across measurement planning, data strategy, reporting automation, dashboarding, analytics, and insights. Shape measurement strategies across paid media, connecting campaign performance to broader marketing and business objectives. Own and lead presentations, including strategic recommendations, and client proposals. Serve as the Data Science & Analytics lead for new business opportunities, owning measurement, data strategy, and analytics components of pitches and proposals. Advise clients and internal teams on approaches including attribution, marketing mix modeling (MMM), incrementality, testing, surveys, and other media measurement methodologies. Help define scalable approaches to ETL, data transformation, reporting automation, and data pipeline architecture that support reliable and actionable media analytics. Contribute to the continued evolution of the media Data Science & Analytics practice through thought leadership, new methodologies, toolkit development, and vendor/platform assessments. Partner across media, strategy, technology, and other disciplines to turn data into compelling stories and actionable recommendations. Lead, coach, and mentor team members, providing quality assurance, professional development, and strategic guidance across client engagements. Qualifications 10+ years of experience in media analytics, digital analytics, marketing analytics, data science, or a related discipline. Deep experience with paid media measurement, including the tools, methodologies, and data required to evaluate media effectiveness. Strong knowledge of contemporary measurement approaches such as attribution, MMM, incrementality, experimentation/testing, and survey-based measurement. Strong understanding of ETL processes, data transformation, automation, and data pipeline architecture and how they support analytics at scale. Demonstrated ability to translate complex data and analytical findings into clear, compelling business stories and recommendations. Exceptional communication skills, with experience presenting to and influencing senior-level client stakeholders. Proven experience leading analytics projects and multidisciplinary teams while ensuring consistently high-quality outputs. Experience directly managing, coaching, and developing analytics talent. Strong ability to operate across analytics, media, marketing technology, and client strategy, connecting technical capabilities with business needs. Media, digital, or advertising agency experience strongly preferred. Additional information The Power of One starts with our people! To do powerful things, we offer powerful resources. Our best-in-class wellness and benefits offerings include: Paid Family Care for parents and caregivers for 12 weeks or more Monetary assistance and support for Adoption, Surrogacy and Fertility Monetary assistance and support for pet adoption Employee Assistance Programs and Health/Wellness/Comfort reimbursements to help you invest in your future and work/life balance Tuition Assistance Paid time off that includes Flexible Time off Vacation, Annual Sick Days, Volunteer Days, Holiday and Identity days, and more Matching Gifts programs Flexible working arrangements ‘Work Your World’ Program encouraging employees to work from anywhere Publicis Groupe has an office for up to 6 weeks a year (based upon eligibility) Business Resource Groups that support multiple affinities and alliances The benefits offerings listed are available to eligible U.S. Based employees, are reviewed on an annual basis, and are governed by the terms of the applicable plan documents. Razorfish is an Equal Opportunity Employer. Our employment decisions are made without regard to actual or perceived race, color, ethnicity, religion, creed, sex, sexual orientation, gender, gender identity, gender expression, pregnancy, childbirth and related medical conditions, national origin, ancestry, citizenship status, age, disability, medical condition as defined by applicable state law, genetic information, marital status, military service and veteran status, or any other characteristic protected by applicable federal, state or local laws and ordinances. If you require accommodation or assistance with the application or onboarding process specifically, please contact . All your information will be kept confidential according to EEO guidelines. Compensation Range: USD $135,375.00 - USD $216,684.00/Annually. This is the pay range the Company believes it will pay for this position at the time of this posting. Consistent with applicable law, compensation will be determined based on the skills, qualifications, and experience of the applicant along with the requirements of the position, and the Company reserves the right to modify this pay range at any time. Temporary roles may be eligible to participate in our freelancer/temporary employee medical plan through a third-party benefits administration system once certain criteria have been met. For regular roles, the Company will offer medical coverage, dental, vision, disability, 401k, and paid time off. The Company anticipates the application deadline for this job posting will be 11/1/2026.
Partner with account and other leadership to develop scopes of work, deliverables, staffing plans, and analytics roadmaps aligned to client priorities. Lead the development and quality of work across measurement planning, data strategy, reporting automation, dashboarding, analytics, and insights. Shape measurement strategies across paid media, connecting campaign performance to broader marketing and business objectives. Own and lead presentations, including strategic recommendations, and client proposals. Serve as the Data Science & Analytics lead for new business opportunities, owning measurement, data strategy, and analytics components of pitches and proposals. Advise clients and internal teams on approaches including attribution, marketing mix modeling (MMM), incrementality, testing, surveys, and other media measurement methodologies. Help define scalable approaches to ETL, data transformation, reporting automation, and data pipeline architecture that support reliable and actionable media analytics. Contribute to the continued evolution of the media Data Science & Analytics practice through thought leadership, new methodologies, toolkit development, and vendor/platform assessments. Partner across media, strategy, technology, and other disciplines to turn data into compelling stories and actionable recommendations. Lead, coach, and mentor team members, providing quality assurance, professional development, and strategic guidance across client engagements.
10+ years of experience in media analytics, digital analytics, marketing analytics, data science, or a related discipline. Deep experience with paid media measurement, including the tools, methodologies, and data required to evaluate media effectiveness. Strong knowledge of contemporary measurement approaches such as attribution, MMM, incrementality, experimentation/testing, and survey-based measurement. Strong understanding of ETL processes, data transformation, automation, and data pipeline architecture and how they support analytics at scale. Demonstrated ability to translate complex data and analytical findings into clear, compelling business stories and recommendations. Exceptional communication skills, with experience presenting to and influencing senior-level client stakeholders. Proven experience leading analytics projects and multidisciplinary teams while ensuring consistently high-quality outputs. Experience directly managing, coaching, and developing analytics talent. Strong ability to operate across analytics, media, marketing technology, and client strategy, connecting technical capabilities with business needs. Media, digital, or advertising agency experience strongly preferred.