As a Principal Data Scientist you’ll be developing cutting edge statistical methodology in a high performance computing environment. This requires collaborating with researchers, software engineers, and external partners to understand relevant business needs, optimize performance, and provide accurate first-in-industry techniques to quantify media effectiveness.

 

Primary responsibilities will include:

• Providing thought leadership in the development of new statistical methodology.
• Effectively communicating with Product Management, Engineering, and senior business leaders to facilitate broader analytics understanding.
• Researching and prototyping new causal and non-causal inference methodology for measuring campaign effectiveness. For example,
• Building a complex modeling frameworks to explain trends and predict outcomes.
• Developing post-hoc causal inference measurement solutions.
• Identifying opportunities for improvement across our digital and offline marketing ecosystem.
• Serving as a resource for other data scientists as methodology is developed and deployed.

Skills and qualifications:

 Our management team is looking for a qualified candidate who will be energized by the dynamics of an entrepreneurial work environment. If you thrive on change, run with new challenges, and you’re interested in what you’ve read so far, you have the qualities we’re looking for in a candidate. Here’s a summary of the skills that will provide success in this position:

• MS in Statistics, Biostatistics or related field with 7+ years of experience or a PhD in Statistics with 3-5 years experience.
• 5+ years experience working with ‘big data’. Marketing analytics and causal inference experience is a big plus.
• Expertise with a statistical analysis software package (R or Python).
• Experience with other big data tools (SQL, Hive, Hadoop, etc.).
• The desire to continually learn and test your own boundaries.
• Ability to thrive in a fast paced, and dynamic work environment.
• Exceptional problem solving skills with unrelenting focus on practical business implications.