Responsibilities and Duties of the Role: 

• Machine Learning and Statistical Modeling: Design and develop predictive and generative model pipelines by leveraging classical data science and modern AI/ML to impact and measure KPIs; analyze drivers of change and implement improvements that enhance accuracy and stability of cross-media measurement and advance analytics. 

• Data Quality: Ensure data is clean and trustworthy; investigate and escalate anomalies; perform robust feature engineering and data prep across linear and streaming sources; contribute to source-of-truth definitions.

• Applications and Communications: Build visualizations and applications to share results with business stakeholders in an easily digestible, sustainable, and automated manner; Analyze data to identify patterns and uncover opportunities.

• Collaboration: Partner closely with peers and business stakeholders to identify and unlock opportunities. Collaborate with other data teams to improve capabilities around data modeling, data platforms, and data visualizations.

• Process Improvement: Drive innovation by exploring new statistical techniques and brainstorming ways to optimize existing infrastructure and make processes even better. 

• Operations: Apply Agile principles via participating in standups, sprint planning, writing business requirements documents, and retrospectives; Participate in an “Open Source” learning environment where sharing, documenting, teaching, and collaborating with others is the culture. 

Required Education, Experience/Skills/Training: 

Basic Qualifications: