Transforming data into actionable insights to guide decision-making and enhance the effectiveness of marketing initiatives for clients
Requirements
- Bachelor’s degree in a STEM field (Statistics, Computer Science, Engineering, Economics, etc.) or equivalent experience
- Strong proficiency with SQL and relational databases
- Advanced skills in Python or R for statistical analysis, modeling, and machine learning
- Solid understanding of probability, statistics, and mathematical modeling
- Experience with statistical learning methods: regression, clustering, PCA, decision trees, Bayesian inference, MCMC
- Hands-on experience in marketing analytics solutions: Customer Segmentation, MMM, MTA, churn/retention modeling
Responsibilities
- Define and size total addressable markets (TAM) for client initiatives
- Build, implement, and maintain marketing mix models (MMM), multi-touch attribution (MTA) frameworks, and media performance dashboards
- Develop and apply statistical and machine learning models (e.g., regression, clustering, PCA, decision trees, ARIMA forecasting)
- Collaborate closely with the development team to embed data science and AI capabilities into proprietary platforms
- Translate complex models and data sets into clear, visual, and actionable insights for non-technical stakeholders
- Present findings in client meetings, strategy workshops, and internal sessions
Other
- Bachelor’s degree in a STEM field (Statistics, Computer Science, Engineering, Economics, etc.) or equivalent experience
- Strong communication skills—able to present work clearly to internal teams and clients
- Ability to work in a fast-paced, dynamic, and collaborative environment
- Ability to thrive in an in-person work environment
- Ability to become fluent in business speak, creative vision, data insights, strategic thinking, and tech capabilities
