Manager, Data Science

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

Build advanced machine-learning models to cluster and segment audiences and deploy custom audiences across platforms and publishers
Run descriptive and diagnostic analyses to measure campaign performance in clean rooms and other analytics platforms
Meet deadlines and ensure high-quality work products
Use coding skills to improve process efficiency
Build decks and reports translating analytical results for internal and client teams
Contribute to the data science practice knowledge repository through decks, documents, and other artifacts

Requirements

• 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

Core Competencies

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.