Take the lead on directing defining and implementing solutions to moderately complex client problems effectively defining clear success criteria.
Enable Data Scientists in your team to be successful and consistently take steps to support the growth and success of your teammates.
Critically evaluate where improvements are required in our ways of working – always through the perspective of business benefit to maximize the value delivered.
Independently manage client relationships and expectations with minimal assistance.
Manage reasonably large projects with multiple stakeholders.
Creatively think about how to address issues with models beyond basic feature engineering.
Deploy and evaluate results from ML models in a production environment.
Guide more junior members of the team in model development and deployment.
Use tools and languages such as Python, SQL, and Tableau for reporting and analysis on our AWS data platform
Work with our India-based Data Engineering team and our Sales and Market Research Teams in the US and UK
Requirements & Skills:
Proven track record of successfully managing client engagements independently and guiding more junior teammates to do so.
5+ years’ experience of working within the Data Science domain
Proven experience in managing Data Science projects independently
In-depth knowledge of many different Statistical / ML techniques. You can confidently and independently apply algorithms that you are not familiar with.
The ability to deploy and evaluate results from ML models in a production environment
A desire to understand the why, and dig into data to understand what makes people tick
A Bachelor’s degree in a subject such as Applied Mathematics, Statistics, Economics, Psychology, Sociology, Physics, Engineering, Computer Science, etc. A Master’s Degree or higher is a plus.
Solid data analytics skills; proven proficiency with SQL, Python & Pandas is a must
The ability to understand business problems, draw conclusions from data and recommend actions on how best to solve these problems
Strong communications skills, and an ability to document requirements and work with other team members
Experience with TV viewing data, the TV industry, and/or Media Industry experience. This isn’t a pre-requisite, but a genuine interest is
A curiosity about data and enjoy building data visualizations that clearly articulate insight
