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- Gather and analyze data to solve and address complex digital marketing problems, make predictions on future outcomes, and provide prescriptive solutions validated through analytics
- Anticipate digital marketing needs and identify appropriate opportunities for modeling, simulation, or machine learning
- Be involved in all phases of analytics projects including question formulation, research, development, implementation, testing, and maintenance
- Explore data and build advanced analytical models, then present and discuss the resulting models to any level of audience
- Under the direction of senior team members, interpret and develop solutions to business problems using different techniques, such as statistics, optimization tools, machine learning techniques and other methods.
- Contribute to all phases of analytics projects, including formulation, research, development, implementation, testing, maintenance and optimization.
- Interpret and communicate analytic results to analytical and non-analytical business partners and executive decision-makers.
- Maintain an awareness of trends in the field and research and suggest new methodologies.
- Bachelors Degree in Statistics or Data Science. Masters preferred
- Strong problem-solving skills with an emphasis on product development
- Enthusiasm to learn and master new technologies and techniques
- Proven experience applying descriptive and predictive statistics and statistical inference to real-world problems
- An understanding of one or more of the following:
- Statistics: Generalized linear models, time series models, and forecasting techniques
- Machine Learning: Common supervised and unsupervised ML models, including decision trees, nearest neighbor models, and neural nets; and a standard ML library, e.g., scikit-learn, TensorFlow
- Experience with a Statistical Programming Language, e.g., R
- Fluency in general programming language, e.g., Python
- Experience and fluency in querying relational and document databases
- Ability to present findings clearly and concisely to team members and data science leadership
- Other duties as needed or required
- Highly motivated/self-starter with a sense of ownership, willingness to learn, and desire to succeed