Data Scientist Research and Analytics

Job Responsibilities :

• Conduct research to develop new methodologies in the audience measurement field.
• Work with cross-functional teams to validate and optimize methodologies.
• Deploy data pipelines and models in a cloud environment.
• Ensure methodologies are fit for purpose and working as intended; troubleshoot, diagnose, and resolve when they are not.
• Makes sure clients’ methodological requirements are addressed.
• Compile and deliver methodology documentation.
• Apply advanced analytics techniques and use visualization tools to present key insights to the stakeholders.
• Participate in team projects and staff meetings .
• Proactively gather information, as needed, to work independently and with a team.

• Bachelor's degree in Statistics, Data Science, Social Science or other hard sciences (e.g. Computer Science, Physics, Mathematics etc.)
• 1-2 years research experience in a business setting.
• Outstanding statistical and analytical skills.
• Excellent critical thinking and problem solving skills.
• Ability to think “out of the box”.
• Strong proficiency with Python, Spark, SQL, Unix, git, and AWS (S3 and EC2).
• Ability to communicate complex results and findings in a clear and concise manner to a wide range of business audiences, both technical and non-technical.
• Good knowledge of Tableau or other visualization tools (e.g. Power BI).
• Excellent debugging skills
• Excellent machine learning fundamentals.
• Collaborative code development experience, including version control, unit/integration testing, code review and sharing.
• Curiosity and skepticism.
• Masters or Doctorate degree in an above mentioned field (preferred).
• Broad industry knowledge(preferred)