Data Science Manager: Campaign Analytics & Segmentation

Jobtailor; New York (NY); On-site; USD 90,000 - 130,000; Full time

Job summary

Jobtailor seeks a data science professional to build advanced machine-learning models for audience clustering and campaign analytics. You will deploy audience segments across platforms, run descriptive analyses in clean rooms, and deliver high-quality work within deadlines.

The role requires strong SQL/Python/R skills, exposure to ML techniques, and the ability to translate results into decks for internal and client teams.

Qualifications

• Hands-on programming language skills, including SQL, Python, R, or similar.
• Intermediate exposure to machine-learning techniques and causal models.
• Advanced presentation and communication skills.
• Some experience working with non-technical teams.
• Knowledge of digital clean rooms and related concepts and strategy.
• Certifications in Meta Blueprint, SQL, Python, or R (online).
• Demonstrated business or industry domain knowledge.
• University degree in mathematics, computer science, statistics, or a related field
• 3–5 years of experience in informatics work in academia, advertising, management consulting, marketing, or digital consulting
• Knowledge of agency-side execution processes is desirable but not required

Responsibilities

• Proficient in building advanced machine-learning models and conducting analyses to measure campaign performance, with strong programming skills in SQL, Python, and R.
• Capable of effectively communicating analytical results to both technical and non-technical teams.

Skills

SQL

Python

R

ML techniques

Communication

Non-technical collaboration

Digital clean rooms

Business/domain knowledge

Education

University degree in mathematics, computer science, statistics, or related field

Certifications in Meta Blueprint, SQL, Python, or R (online)

Job description

Jobtailor seeks a data science professional to build advanced machine-learning models for audience clustering and campaign analytics. You will deploy audience segments across platforms, run descriptive analyses in clean rooms, and deliver high-quality work within deadlines.

The role requires strong SQL/Python/R skills, exposure to ML techniques, and the ability to translate results into decks for internal and client teams.