Marketing Paid Consultant - Attribution, MMM & Experimentation at LinkedIn | USA

Marketing Paid Consultant - Attribution, MMM & Experimentation

USA (Remote)

Salary Not AvailableSenior Level8+ years expContract

Posted 6 weeks ago

Top 1% of applicants do these two things.

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Job Summary

Own rigorous measurement workflows from attribution, MMM, and experimentation, translating outputs into budgets and channel plans for cross-functional teams.

Attribution & Marketing Mix: design, maintenance, and governance of attribution models and MMM experiments.
Experiment Design & Decisioning: specify hypotheses, guardrails, sample sizes, durations, and action thresholds.
Data Assembly & Cross-Channel Validation: assemble spend, exposure, conversions, and outcomes across platforms and stakeholders.

Job Description

Responsibilities

You’ll complete a ~ 30-minute recorded AI-led video interview where you explain how you actually do your work in practice.
Choosing attribution, MMM, incrementality, and testing approaches for different business decisions
Assembling and validating spend, exposure, conversion, and outcome data across channels
Designing statistically sound A/B or multivariate tests with clear hypotheses, guardrails, sample size, and duration
Translating model or experiment output into budget, creative, channel, or programme recommendations
Explain workflows specifically within: attribution modelling, marketing-mix modelling, incrementality testing, and experiment design workflows
Respond to AI-led interview questions with depth, clarity, and real-world examples

Requirements

8+ years in marketing measurement, growth analytics, experimentation, attribution, or marketing data science
Direct, hands-on experience in attribution modelling, marketing-mix modelling, incrementality testing, and experiment design workflows
Experience making or influencing decisions related to model choice, data inclusion, validation method, statistical thresholds, guardrails, experiment roadmap, and actionability criteria
Familiarity with tools such as: R, Python, SQL, Google Analytics, Adobe Analytics, Meta/Google/LinkedIn Ads data, Snowflake, BigQuery, Tableau, Optimizely, VWO
Strong ability to clearly explain workflows, decisions, and reasoning
Experience owning or directly executing these workflows in a real production environment
Experience working cross-functionally with HR, legal, payroll, finance, HRIS, business leaders, people managers, or compensation committee stakeholders as relevant to the workflow
Location: U.S.-based experts only

Preferred

- 8+ years in marketing measurement, growth analytics, experimentation, attribution, or marketing data science

Founded in 2003, LinkedIn connects the world's professionals to make them more productive and successful. With more than 1 billion members worldwide, including executives from every Fortune 500 company, LinkedIn is the world's largest professional network. The company has a diversified business model with revenue coming from Talent Solutions, Marketing Solutions, Sales Solutions and Premium Subscriptions products. Headquartered in Silicon Valley, LinkedIn has offices across the globe..

Founded in 2016

Sunnyvale, CA, US

24K employees (3,633 in marketing)

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