Marketing Data Scientist: Incrementality & Experimentation

LinkedIn; New York (NY); Hybrid; USD 117,000 - 193,000; Full time

Job summary

LinkedIn is seeking a Marketing Data Scientist to lead measurement initiatives and guide investment decisions across marketing channels. The role blends advanced analytics with practical business impact, partnering with Product Marketing, Finance, Data Science, and business leaders.

Based in New York or other U.S. hubs, this hybrid position focuses on experimental design, result interpretation, and scalable measurement practices to drive marketing effectiveness and growth.

Qualifications

• Bachelor’s degree in statistics, economics, applied mathematics, business analytics, etc.
• 5+ years of relevant experience in data science, marketing science, experimentation, causal inference, econometrics, or related field.
• Working knowledge of causal inference methods, including geo-experimentation and observational approaches.
• Experience designing and analyzing experiments (A/B tests, geo experiments, matched-market studies).
• Experience in SQL and at least one programming language (R, Python, or Scala).

Responsibilities

• Lead incrementality studies end to end from business question to recommendation.
• Advise on hypotheses, KPI selection, sample requirements, test design and interpretation for partners.
• Design and analyze experiments using A/B tests, geo experiments, and synthetic controls.
• Geo-Based Measurement: Develop and analyze geo-experiments to measure marketing incrementality.
• Communicate complex analytical concepts to senior stakeholders.

Skills

SQL

Python

Statistical Analysis

Data Storytelling

Data Interpretation

Education

Bachelor’s degree in statistics or related field

MS or PhD in quantitative discipline

Tools

R

Scala

Job description

LinkedIn is seeking a Marketing Data Scientist to lead measurement initiatives and guide investment decisions across marketing channels. The role blends advanced analytics with practical business impact, partnering with Product Marketing, Finance, Data Science, and business leaders.

Based in New York or other U.S. hubs, this hybrid position focuses on experimental design, result interpretation, and scalable measurement practices to drive marketing effectiveness and growth.