Associate Director, Data Science & Analytics

PHD; New York (NY); On-site; USD 70,000 - 125,000; Full time

Job summary

PHD is a global communications planning and media buying agency seeking a Data Scientist to deliver analytic solutions and models across client campaigns. Our team builds predictive models and uses machine learning to address marketing challenges such as audience creation, segmentation, optimization, and cross-channel experience.

You will work with first- and third-party data in clean rooms to drive insights.

Qualifications

• Hands-on programming in SQL, Python, or R.
• Experience with ML techniques and causal models.
• Strong presentation and communication skills.
• Ability to work with non-technical teams.
• Knowledge of digital clean rooms.
• Certifications in Meta Blueprint, SQL, Python, or R.
• Domain knowledge in business/industry.

Responsibilities

• Partner with Planning & Investment teams to provide expert hands-on Data Science support across the entire campaign lifecycle.
• Build advanced ML models to cluster and segment audiences, scale and deploy custom audiences across various platforms/publishers
• Run descriptive and diagnostic analyses to measure campaign performance within clean rooms and analytics platforms
• Strong project management skills with the ability to set priorities and meet deadlines
• Leverage coding expertise to improve process efficiencies
• Contribute to building decks and reports translating analytics to internal/client teams
• Contribute to DS Practice knowledge repository via decks/documents/artifacts
• Lead and train managers and other junior team members

Skills

SQL

Python

R

ML techniques

Presentations

Non-technical teams

Digital clean rooms

Certifications

Domain knowledge

Education

Degree in mathematics, computer science, or statistics

Tools

Google ADH

Facebook Analytics

Amazon Marketing Cloud

Job description

PHD is a global communications planning and media buying agency seeking a Data Scientist to deliver analytic solutions and models across client campaigns. Our team builds predictive models and uses machine learning to address marketing challenges such as audience creation, segmentation, optimization, and cross-channel experience.

You will work with first- and third-party data in clean rooms to drive insights.