Data Scientist

Degree in Computer Science, Engineering, Statistics, Economics, or related quantitative discipline preferred. M.S. + 2 years of experience, or B.S. + 4 years of relevant experience. Strong programming skills in R, Python, and SQL. Professional experience in digital advertising or MarTech. Demonstrated success delivering data-driven products across the full lifecycle. Deep understanding of statistical modeling and machine learning. Experience with A/B testing and Media Mix Models. Strong working knowledge of large datasets, preferably in digital marketing. Experience with cloud OLAP database platforms like BigQuery and Snowflake. Strong communication skills with technical and non-technical audiences. Ability to explore new methodologies.

Identify business problems solvable by data science and machine learning. Design, prototype, and test new data solutions. Develop scalable, efficient, and automated data analysis workflows. Conduct incrementality tests and build Media Mix Models. Integrate workflows into production with software engineers. Maintain and improve data science/ML workflows. Articulate technical results to stakeholders. Join client meetings to understand data problems and propose solutions. Proactively identify and solve issues.