Data Science Manager - Marketing Science & Measurement
What you'll do:
Lead and Build the Marketing Data Science Function - Establish and grow the first Data Science team supporting Marketing, setting the roadmap and execution plan for the function.
Develop High-Impact Models and Analytics - Drive the creation and evolution of Marketing Mix Models (MMM), Geo-Testing and Incrementality models and other statistical analyses that quantify the impact of brand and performance marketing investments.
Own and Execute the Marketing Data Science Roadmap - Design, prioritize, and deliver against a roadmap that quantifies and improves marketing ROI, and delivers actionable insights and recommendations to drive business objectives.
Hands-On Technical Contribution - Spend approximately 30% of time as an individual contributor, setting the technical standard and owning critical analyses.
Mentor and Grow the Team - Hire, coach, and develop high-performing Data Scientists (currently managing two), fostering technical excellence and professional growth.
Partner Across the Business - Collaborate deeply with Product, Engineering, Marketing, Analytics, and other Data Science teams to integrate insights into programs and product roadmaps.
Champion Measurement and Optimization - Build new tools and processes—such as recommendation engines—to uncover cost-saving strategies, optimize marketing investments, and inform executive decision-making.
Create Visibility and Impact - Serve as a trusted thought partner to senior leadership and stakeholders, communicating insights, influencing strategy, and elevating the data science profile across the company.
What we're looking for:
Advanced degree (MS or PhD) in Statistics, Computer Science, a related field, or equivalent experience.
8+ years of combined postgraduate academic and industry experience in data science.
3+ years of experience in managing teams of data scientists, fostering a culture of innovation, collaboration, accountability, and continuous improvement.
Proficient in Python/R, SQL, and working with cloud-based data environments.
Deep expertise in causal inference, Marketing Mix Modeling (MMM), incrementality measurement, and experimental design and analysis.
Hands-on experience as a data scientist in a technology company.
Prior experience managing and mentoring Data Scientists. Ability to set a compelling vision, motivate teams, and deliver results through others.
Demonstrated skills in selecting the right statistical tools given a data analysis problem.
Strong sense of ownership and urgency, with a demonstrated ability to align data science initiatives with business priorities and measurable impact.
Exceptional communication skills; able to distill and translate complex analyses for senior marketing, product, and engineering partners, as well as senior leadership and the C-suite.
Experienced in building programs, processes, and teams from the ground up.
Passionate about driving visible impact at scale in a dynamic environment.
Strong business and product acumen, with a proven ability to translate ambiguous questions into clear analyses and actionable success metrics that drive impactful business decisions.
Experience being a thought partner to improve decision quality and able to influence with expertise.
What skills are ideal but not required?
Prior experience supporting user growth initiatives.
Experience working on apps focused on driving daily, weekly, or monthly active users (DAU/WAU/MAU).
Experience within a Growth function like user engagement and retention.
Relocation Statement:
This position is not eligible for relocation assistance. Visit our PinFlex page to learn more about our working model.
In-Office Requirement Statement:
We let the type of work you do guide the collaboration style. That means we're not always working in an office, but we continue to gather for key moments of collaboration and connection.
This role will need to be in the office for in-person collaboration 1-2 times per half and therefore can be situated anywhere in the country.
#LI-REMOTE
#LI-AS5
About the job
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Data Science Manager - Marketing Science & Measurement
What you'll do:
Lead and Build the Marketing Data Science Function - Establish and grow the first Data Science team supporting Marketing, setting the roadmap and execution plan for the function.
Develop High-Impact Models and Analytics - Drive the creation and evolution of Marketing Mix Models (MMM), Geo-Testing and Incrementality models and other statistical analyses that quantify the impact of brand and performance marketing investments.
Own and Execute the Marketing Data Science Roadmap - Design, prioritize, and deliver against a roadmap that quantifies and improves marketing ROI, and delivers actionable insights and recommendations to drive business objectives.
Hands-On Technical Contribution - Spend approximately 30% of time as an individual contributor, setting the technical standard and owning critical analyses.
Mentor and Grow the Team - Hire, coach, and develop high-performing Data Scientists (currently managing two), fostering technical excellence and professional growth.
Partner Across the Business - Collaborate deeply with Product, Engineering, Marketing, Analytics, and other Data Science teams to integrate insights into programs and product roadmaps.
Champion Measurement and Optimization - Build new tools and processes—such as recommendation engines—to uncover cost-saving strategies, optimize marketing investments, and inform executive decision-making.
Create Visibility and Impact - Serve as a trusted thought partner to senior leadership and stakeholders, communicating insights, influencing strategy, and elevating the data science profile across the company.
What we're looking for:
Advanced degree (MS or PhD) in Statistics, Computer Science, a related field, or equivalent experience.
8+ years of combined postgraduate academic and industry experience in data science.
3+ years of experience in managing teams of data scientists, fostering a culture of innovation, collaboration, accountability, and continuous improvement.
Proficient in Python/R, SQL, and working with cloud-based data environments.
Deep expertise in causal inference, Marketing Mix Modeling (MMM), incrementality measurement, and experimental design and analysis.
Hands-on experience as a data scientist in a technology company.
Prior experience managing and mentoring Data Scientists. Ability to set a compelling vision, motivate teams, and deliver results through others.
Demonstrated skills in selecting the right statistical tools given a data analysis problem.
Strong sense of ownership and urgency, with a demonstrated ability to align data science initiatives with business priorities and measurable impact.
Exceptional communication skills; able to distill and translate complex analyses for senior marketing, product, and engineering partners, as well as senior leadership and the C-suite.
Experienced in building programs, processes, and teams from the ground up.
Passionate about driving visible impact at scale in a dynamic environment.
Strong business and product acumen, with a proven ability to translate ambiguous questions into clear analyses and actionable success metrics that drive impactful business decisions.
Experience being a thought partner to improve decision quality and able to influence with expertise.
What skills are ideal but not required?
Prior experience supporting user growth initiatives.
Experience working on apps focused on driving daily, weekly, or monthly active users (DAU/WAU/MAU).
Experience within a Growth function like user engagement and retention.
Relocation Statement:
This position is not eligible for relocation assistance. Visit our PinFlex page to learn more about our working model.
In-Office Requirement Statement:
We let the type of work you do guide the collaboration style. That means we're not always working in an office, but we continue to gather for key moments of collaboration and connection.
This role will need to be in the office for in-person collaboration 1-2 times per half and therefore can be situated anywhere in the country.
#LI-REMOTE
#LI-AS5