Senior Manager, Data Scientist - Growth Marketing
Listed on 2026-09-07
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IT/Tech
Data Science Manager, Data Analyst, Data Scientist, AI Engineer (Applied/Software)
Senior Manager, Data Scientist
- Growth Marketing
A senior data science leader who sets and owns the analytics and measurement strategy for SPP, leads a team of data scientists, and provides thought leadership on the most complex, ambiguous problems facing the channel — cross-channel performance drivers, innovative measurement, and automation of data-heavy recurring processes. Operates with a high degree of autonomy, defines the problems worth solving rather than executing pre-scoped tasks, and regularly influences stakeholders through VP/SVP level.
Directly manages, coaches, and develops a team of ~3 data scientists (each one level junior), setting technical standards and prioritizing the team's roadmap against business impact.
Experience &
Qualifications:
- PhD, Masters, or Bachelors, preferably in a quantitative or scientific field (Mathematics, Statistics, Economics, Computer Science, Physics, or similar).
- 7+ years in data science / advanced analytics, including 2+ years directly managing or formally leading data scientists or analysts. Comparable leadership experience will be considered in lieu of formal management tenure.
- Proven track record of delivering data-driven insights and measurement solutions that changed business decisions or drove performance improvement, across multiple domains and senior stakeholders.
- Advanced, production-grade experience with Python, R, or SQL for analysis, transformation, modeling, and visualization of large datasets.
- Preferred: marketing, media, or performance-marketing measurement experience (paid social, programmatic, CTV, digital audio, paid app), and familiarity with incrementality and causal measurement.
Functional / Technical Skills
- People leadership: coaching, performance management, hiring, career development, and technical mentorship.
- Strategic thinking and the ability to operate and lead a team through ambiguity.
- Advanced statistics: frequentist and Bayesian methods, experimental design, regression, causal inference.
- Machine learning theory and applied practice.
- Data engineering fundamentals: pipelines, automation, scalable dashboards.
- Stakeholder influence and communication at senior (Director / VP / SVP) levels.
- Storytelling and data visualization for both technical and non-technical audiences.
- Strong business acumen and domain judgment.
In this role, you will:
People Leadership & Team Development
- Directly manages a team of ~3 data scientists (each one level junior), owning hiring, onboarding, performance management, and career development.
- Sets technical standards, review practices, and ways of working for the team; establishes code review, reproducibility, and documentation norms.
- Coaches team members on statistical technique, modeling, experimentation, and stakeholder communication, and creates development paths that stretch each individual.
- Allocates team capacity against a prioritized roadmap, balancing strategic bets, BAU measurement, and stakeholder demand; protects the team from low-value order-taking.
- Builds a collaborative, transparent, and inclusive team culture; represents the team's work and needs to senior leadership.
Strategy & Handling Ambiguity
- Defines the analytics and measurement strategy for SPP and translates ambiguous, loosely-defined business goals into structured analytical programs with clear objectives and phased delivery.
- Frames complex, open-ended business problems as tractable analytics problems and sequences them into manageable work streams for the team.
- Makes independent judgment calls on scope, method, and level of effort with limited direction; solves for the underlying objective, not the literal ask.
- Anticipates emerging measurement and performance questions before they are raised and proactively shapes the team's agenda around them.
Thought Leadership — Cross-Channel Performance & Innovative Measurement
- Provides thought leadership on cross-channel performance drivers across paid social, programmatic display & video, CTV, digital audio, and paid app, spanning BEX, HCOM, and VRBO.
- Advances the measurement toolkit — incrementality, causal impact, geo experiments, media mix / multi-touch approaches, uncertainty-aware and multi-armed bandit…
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