Marketing Data Scientist, Measurement & Experimentation

New York, NY, United States · Contract

Sponsorship not specified$117k-$193kDetected 1 day ago

PythonScalaSQLData ScienceStatisticsA/B TestingResearch

About the role

At LinkedIn, our approach to flexible work is centered on trust and optimized for culture, connection, clarity, and the evolving needs of our business.
The work location of this role is hybrid, meaning it will be performed both from home and from a LinkedIn office on select days, as determined by the business needs of the team.

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
Geo-Based Measurement: Develop and analyze geo-experiments to measure marketing incrementality and validate MMM outputs
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
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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
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

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
Suggested Skills

As a federal contractor, LinkedIn follows the Pay Transparency and non-discrimination provisions described at this link: https://lnkd.in/paytransparency.

https://legal.linkedin.com/candidate-portal.
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