Manager, Data Science

Adelphi Group • Chicago, IL

8d • $50,000 - $95,000 • Hybrid

About The Position

The Data Science team is pivotal in delivering modern agency services and works closely with marketing science teams to meet and exceed clients’ business goals. The role combines client-facing analytical work with internal process improvement and knowledge sharing.

In client-facing work, the Manager builds machine-learning models to cluster and segment audiences, scales and deploys custom audiences across platforms and publishers, and conducts descriptive and diagnostic analyses to measure campaign performance using clean rooms or other analytics platforms. The role also ensures deadlines are met and work is high quality.

Internally, the Manager uses coding skills to improve process efficiency, contributes to decks and reports that communicate analytical findings to internal and client teams, and helps build the Data Science Practice knowledge repository through decks, documents, and other materials. The position requires a university degree in a relevant quantitative or technical field and 3–5 years of informatics experience. The stated compensation range is $50,000–$95,000. Employees are generally required to work in the office at least three days per week, subject to local law and any additional agency or manager direction.

Requirements

• Hands-on programming skills in languages such as SQL, Python, or R.
• Intermediate exposure to machine-learning techniques, causal models, or related methods for analyzing information.
• Advanced presentation and communication skills.
• Some experience working with non-technical teams.
• Knowledge of digital clean rooms and related concepts and strategy.
• Certifications in one or more of the following: Meta Blueprint, SQL, Python, or R (online).
• Demonstrated domain knowledge of a business or industry.
• A university degree in mathematics, computer science, statistics, or a related field.
• 3–5 years of informatics work experience in academia, advertising, management consulting, marketing, or digital consulting.

Nice To Haves

• Knowledge of agency-side execution processes is desirable but not required.

Responsibilities

• Build advanced machine-learning models to cluster and segment audiences.
• Scale and deploy custom audiences across platforms and publishers.
• Conduct descriptive and diagnostic analyses to measure campaign performance in clean rooms and other analytics platforms.
• Meet established deadlines and deliver high-quality work.
• Use coding skills to improve internal process efficiency.
• Contribute to decks and reports that translate analytical results for internal and client teams.
• Contribute decks, documents, and other materials to the Data Science Practice knowledge repository.

What This Job Offers

• Job Type: Full-time
• Career Level: Manager