As Head of Marketing Science function, you will spearhead Quince's effort in extracting insights from marketing data to inform strategic decisions. Your responsibilities include developing analytical frameworks, conducting performance evaluations, and collaborating with cross-functional teams to optimize marketing strategies. The successful candidate will possess a passion for innovative analysis, processes that scale, deep understanding of marketing principles, and leadership experience, and the tenacity to develop findings and recommendations that transcend the numbers.
Responsibilities
Marketing Strategy & Optimization
- Develop and implement a comprehensive marketing measurement framework to ensure accurate attribution and campaign effectiveness tracking.
- Owned the incrementality measurement framework and execution including (but not limited to) incrementality tests, MMM, survey-methods, in-platform measurements and other methods (Markov, Bayesian, etc.)
- Define key metrics and KPIs (Key Performance Indicators) aligned with overall business goals.
- Along with media buyers draft a data-driven marketing strategy, prioritizing testing and optimization initiatives across all marketing channels (paid search, social media, email marketing, etc.) that provide Quince with a competitive advantage
- Understand existing marketing platforms and reporting infrastructure; help optimize them.
Team Management and Communication
- Provide clear and defined roles and responsibilities for each position in your team.
- Independently manage personal development plans for all direct reports, ensuring right objectives are set.
- Develop channel knowledge, tech knowledge and skill-set of all direct reports.
- Oversee the efficient workflow and workload management of your team.
- Clearly communicate data insights and key findings to leadership and stakeholders in a clear, concise, and impactful manner.
Data & Analytics Expertise
- Champion best practices in data instrumentation and data collection for marketing campaigns and serve as the subject matter expert in marketing data and tools used.
- Design and execute A/B tests, multivariate tests, and other statistical experiments to optimize marketing initiatives.
- Analyze and interpret data from various sources (marketing automation platforms, web analytics tools, CRM) to identify trends and opportunities.
- Translate complex data insights into actionable recommendations for marketing teams and key stakeholders.
- Stay up-to-date on the latest marketing analytics tools and technologies.
Taking business forward
- Identify and drive new game-changing performance marketing opportunities to further scale the business and improve efficiencies.
- Collaborate closely with the product development team on MarTech.
- Work with existing external partners (FB, Google, Bing, Snap, Agencies, etc.) to explore and execute on analytics opportunities.
- Define data science and analytics team’s roadmap to further leverage ML in the channel operations.
Requirements
- An undergraduate degree in a quantitative discipline (Economics, Statistics, Engineering, Applied Mathematics)
- Experience hiring and leading high performing teams remotely
- Experience in advanced analytic and statistical techniques related multivariate and A/B testing, digital revenue attribution, customer segmentation, and marketing effectiveness
- Knowledge of data mining and analytic methods such as Clustering / Cluster Analysis, Factor Analysis, Regression Models, Logistic Regression, Predictive Modeling, optimization models, etc.
- Hands on experience with Python, R, or equivalent toolsAbility to conceptualize business problems and solving them through data analysis
- Excellent written and oral communication skills, including an ability to communicate across business areas
- Ability to prioritize and delivery on multiple threads of work in a fast-paced environment
- Strong personal work ethic, including personal initiative and ownership
- 10+ years of professional experience in online marketing, e-commerce, or equivalent role with an analytical bend, preference to prior consulting experience
