Senior Staff Data Scientist, Marketing Analytics Senior Staff Data Scientist, Marketing Analytics

About the Role

Key Responsibilities

• Partner marketing stakeholders to refine marketing initiatives by defining clear problem statements, utilizing predictive modeling to identify target audiences, assessing opportunities, and recommending effective testing and measurement strategies.
• Lead the implementation of Media Mix Models to develop global budget allocation strategy and recommend optimal marketing spend across channels and tactics.
• Help establish a marketing measurement framework alongside MMM based on incrementality testing using Geo-based targeting, causal inference, A/B testing and other experimentation methodologies.
• Conduct in-depth analysis of marketing performance metrics, customer behavior, and market trends to identify growth opportunities and improve ROI.
• Utilize advanced statistical techniques to build attribution models, analyze customer journeys, and optimize conversion funnels across various marketing channels.
• Develop dashboards and visualizations to effectively communicate insights and KPIs to stakeholders, enabling data-driven decision-making at all levels of the organization.
• Stay current with industry trends and emerging technologies in data science and marketing analytics, and apply them to enhance analytical capabilities.

Requirements

• Bachelor's or higher in Statistics, Mathematics, Computer Science, Economics, or related quantitative field.
• 10+ years of relevant experience in data science, with a proven track record of applying advanced predictive modeling techniques to drive business impact.
• Strong proficiency in statistical analysis and machine learning, with expertise in media mix modeling, causal inference methods, forecasting, regression, and time series modeling.
• Experience with data pipelining tools such as DBT and Airflow, and proficiency in SQL for data extraction and manipulation.
• Command over programming languages such as Python for data analysis and automation.
• Familiarity with Business Intelligence tools such as Tableau, with a strong understanding of best practices for dashboarding and visualization.
• Leadership and communication skills, with the ability to articulate complex concepts clearly and effectively to stakeholders.

Nice to Have

• Experience applying causal inference methods and experimental design in marketing analytics.
• Knowledge of additional data analysis or visualization tools beyond Tableau.
• Previous experience working in a fast-paced, innovative tech environment.

Qualifications

• Bachelor's degree or higher in a relevant quantitative field.
• 10+ years of experience in data science, particularly in marketing analytics or related areas.

Benefits & Perks

• Comprehensive medical, dental, vision, life/AD&D, and disability coverage.
• Pre-tax savings/spending plans, including HSA employer contributions.
• Expanded medical coverage for gender-affirming care.
• Financial assistance for fertility, adoption, and surrogacy expenses; paid family bonding leave.
• Fully paid memberships for meditation/mindfulness, therapy/coaching, and family building support.
• Free access to Udemy courses and Udemy Business plus a yearly professional development stipend.
• Pre-tax and Roth 401(k) plan with employer contribution.
• Charitable matching for eligible nonprofits and charities.
• Flexible vacation policy and paid holidays.