Qualifications

• Hands-on programming skills in SQL, Python, and R.
• Intermediate knowledge of machine learning techniques and causal models.
• Advanced presentation and communication abilities.
• Experience collaborating with non-technical teams.
• Familiarity with digital clean rooms and related strategies.
• Certifications in Meta (Blueprint), SQL, Python, or R are preferred.
• Demonstrated understanding of business/industry nuances.

Responsibilities

• Partner with Planning & Investment teams to provide hands-on Data Science support throughout the campaign lifecycle.
• Build advanced machine learning models to segment audiences and deploy custom audiences across platforms.
• Conduct descriptive and diagnostic analyses to evaluate campaign performance using various analytics platforms.
• Manage projects effectively, prioritizing tasks and recognizing when assistance is needed.
• Utilize programming expertise to enhance process efficiencies.
• Create decks and reports that clarify analytical results for internal and client teams.
• Contribute to the development of a Data Science knowledge repository and lead training for junior team members.

Benefits

• Collaborative work culture within a dynamic data science team.
• Opportunity to work on diverse and high-impact marketing campaigns.
• Professional development through leading and training opportunities.
• Access to modern analytics platforms and cutting-edge technology.
• Engagement with both internal and external teams for holistic project involvement.