Marketing Data Scientist, Measurement & Experimentation

LinkedIn•New York, NY

1d•$117,000 - $193,000•Hybrid

About The Position

The Measurement Strategy & Testing team is seeking a Marketing Data Scientist to join its Incrementality Testing function. The team helps LinkedIn measure the incremental impact of marketing investments and evaluate measurement approaches. In this role, you will lead complex measurement initiatives from the initial business question through experiment design, execution, analysis, and final recommendation. You will partner closely with Product Marketing, Finance, Data Science, Media Activation, and business leaders to define the right hypotheses and KPIs, select rigorous and feasible measurement approaches, and translate findings into investment and optimization decisions. You will also help strengthen the team’s measurement standards, tools, documentation, and automation so that high-quality testing can scale across business lines, marketing channels, and geographic markets.

Requirements

Bachelor’s degree in statistics, economics, applied mathematics, business analytics etc.
5+ years of relevant industry or academic experience in data science, marketing science, experimentation, causal inference, econometrics, or a related analytical field
Working knowledge of causal inference methods, including geo-experimentation and observational approaches
Experience designing and analyzing experiments, such as A/B tests, geo experiments, or matched-market studies
Experience in SQL
Background in at least one programming language (e.g., R, Python, Scala)
Experience in applied statistics and statistical modeling in at least one statistical software package
Ability to communicate complex concepts clearly to stakeholders at varying technical levels

Nice To Haves

MS or PhD in a quantitative discipline: statistics, operations research, computer science, informatics, engineering, applied mathematics, economics, etc.
Hands-on experience with geo-based experimentation, synthetic-control methods, difference-in-differences, Bayesian structural time-series models, or other approaches used to measure marketing incrementality
Experience with Marketing Mix Modeling, modeled attribution, conversion lift, brand lift, ROI analysis, or the validation and calibration of marketing measurement models
Experience with manipulating massive-scale structured and unstructured data
Familiarity with Bayesian modeling and its applications in marketing
Familiarity with AI-assisted coding and analytical tools used to accelerate prototyping, analysis, documentation, or workflow automation
Passion for marketing and consumer science, with a desire to stay informed about the latest advances in the field

Responsibilities

Lead incrementality studies end to end, from defining the business question and assessing feasibility through test design, execution, analysis, and final recommendation
Serve as a testing and measurement subject matter expert, advising Product Marketing, Finance, Data Science, and activation partners on hypotheses, KPI selection, sample requirements, test design, and interpretation
Design and analyze experiments using methods such as randomized A/B tests, geo experiments, matched-market studies, synthetic controls, and Difference-in-differences
Develop and analyze geo-experiments to measure marketing incrementality and validate MMM outputs
Communicate complex analytical concepts clearly and concisely to both technical and non-technical audiences, including senior business stakeholders
Prioritize, project-manage, and drive multiple analytics and testing workstreams forward under tight timelines, while proactively communicating progress, risks, tradeoffs, and decisions needed
Manage a portfolio of measurement projects independently, ensuring strong stakeholder alignment, clear documentation, and high-quality execution from intake through final recommendation
Develop and improve scalable processes, data standards, dashboards, automation tools, and analytical techniques that increase marketing effectiveness, measurement quality, and team efficiency
Stay current on the digital advertising and measurement ecosystem and creatively apply measurement solutions in ways that improve advertiser, member, and business outcomes