Marketing Science Manager

Lime

. Proactively analyze user behavior and trends to uncover growth opportunities .

Posted 9/18/2026full-timeRemote • United StatesMid-LevelSenior💰 $112,000 - $154,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in Marketing Science and Analytics, leveraging SQL and Python for data-driven decision-making and campaign optimization. Proficient in designing and measuring marketing models and user lifecycle flows to drive business growth.

Highest-signal resume keywords

Marketing ScienceSQL ProficiencyPython ProficiencyModel-Building CapabilityMarketing Technology Platforms

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data AnalysisMachine LearningA/B TestingUser ClusteringChurn PredictionCampaign MeasurementAttribution ModelingData-Driven MarketingStatistical AnalysisQuantitative Research

Soft Skills

Presentation SkillsCommunication Skills

Tools & Technologies

BrazeAppsflyerCRM Systems

Certifications & Qualifications

Masters Degree in Quantitative Discipline

Industry Keywords

User Lifecycle FlowsGrowth OpportunitiesPerformance MarketingCustomer Acquisition CostLifetime Value

Tech Stack

Tools & technologies

PythonSQL

About the role

Key responsibilities & impact

Proactively analyze user behavior and trends to uncover growth opportunities
Recommend data-driven and data-inspired marketing campaigns and ensure rigorous measurement
Translate technical data science findings into actionable business solutions
Present analytical and data science findings to business audiences
Design, test, iterate, and measure user lifecycle flows, including onboarding, retention, and dormancy/win-back campaigns
Identify, define, and architect data streams for scalable CRM and AI-enabled marketing science
Own attribution and measurement for acquisition and performance marketing
Optimize CAC/LTV dynamics using data
Develop and deploy marketing models, including response models, user clustering, persona segmentation, and churn prediction
Use model outputs to design sophisticated experiments
Help define team KPIs and holistic marketing campaign measurement
Use marketing technology platforms including Appsflyer, Braze, and internal CRM systems

Requirements

What you’ll need

Candidates must reside in the United States
5+ years of experience in a Marketing Science/Marketing Analytics role
Masters degree or higher in a quantitative discipline (Mathematics, Statistics, Data Science, Econometrics, etc.)
Highly proficient in SQL and Python
Strong conceptual grasp of machine learning
Hands-on model-building capability
Deep experience utilizing model outputs to drive continuous A/B testing, experimentation, and campaign iterations
Highly comfortable working with marketing technology platforms such as Braze, Appsflyer, and modern CRM architectures
Proven ability to establish high-level KPIs and evaluate holistic marketing efforts against core business growth
Exceptional presentation and communication skills for business stakeholders
Nice to have: Braze or other CRM expertise
Nice to have: AI Agent building experience

Benefits

Comp & perks

Choice of medical, dental, and vision plans
Company-paid life and disability insurance
Company-funded mental health benefits
401(k) plan with pre-tax and Roth options
Health Savings Account (HSA) with monthly company contribution
Paid parental leave for birthing and non-birthing parents
Fertility and family-forming benefits
Unlimited vacation
Paid leaves
10 company holidays
Complimentary use of Lime vehicles in participating cities
Monthly phone allowance
Dedicated learning and development days
Access to One Medical, Wellhub, and Headspace
Discretionary annual performance bonus opportunities
Equity, subject to applicable plan terms and eligibility requirements