Marketing Science Manager

Résumé du poste

The Marketing Science Manager will act as a strategic bridge between data science and marketing, mapping growth routes through data-driven campaigns. They are responsible for architecting user lifecycle flows, building attribution models, and optimizing marketing performance using advanced analytics.

Détails du poste

As the largest global shared micromobility business, Lime is on a mission to build a future where transportation is shared, affordable and carbon-free. A Time Magazine 100 Most Influential Company, Lime has powered more than one billion rides in close to 30 countries across five continents, spurring a new generation of clean alternatives to car ownership. Learn more at li.me. We are looking for a Growth Optimization - Marketing Scientist Manager to bridge the gap between advanced data science and impactful marketing strategy. In this business-facing analytical role, you will act as the team’s analytical compass and GPS system—not just analyzing where we have been, but mapping the route forward by proactively recommending data-inspired campaigns, setting the direction for growth, and building the framework to measure success. You will serve as a key translator, turning complex business challenges into data science problems, and distilling those findings back into actionable business solutions. If you are highly proficient in SQL and Python, understand machine learning conceptually, and have a passion for steering marketing strategy with robust data, we’d love to have you on the ride. This is a remote position with a requirement for candidates to reside in Canada to maintain effective collaboration across teams. What You’ll Do: Act as the Marketing Compass: Proactively analyze user behavior and trends to uncover hidden growth opportunities. Serve as the GPS for the broader marketing team by recommending data-driven, data-inspired campaigns and ensuring they are rigorously measured. Be the Business Translator: Serve as the strategic bridge between technical data science and business leadership. Present analytical and data science findings back to a business audience in a clear, impactful way. Architect Lifecycle Flows: Design, test, iterate, and measure complex user lifecycle flows, including onboarding sequences, retention loops, and dormancy/win-back campaigns. Evolve CRM Infrastructure: Think through our CRM as a scalable product. Identify, define, and architect the data streams required to power the next generation of AI-enabled marketing science. Building Attribution Models: Own attribution and measurement for all marketing, including acquisition and performance marketing. Leverage data to continuously optimize CAC/LTV dynamics. Build Marketing Models: Comfortably develop and deploy marketing-focused models (e.g., response models, user clustering, persona segmentation, and churn prediction) and use model outputs to help design sophisticated experiments. Define Strategy & KPIs: Help set KPIs for the team and think holistically through how we measure marketing campaigns as a whole to ensure overarching business success. Leverage MarTech Platforms: Daily utilization of our marketing technology stack, including tools like Appsflyer, Braze, and internal CRM systems. About You: The "Business-Facing" Scientist: You are a marketing science/analytics specialist who thrives in front of business stakeholders, possessing exceptional presentation and communication skills. Experimentation Mindset: Deep experience utilizing model outputs to drive continuous A/B testing, experimentation, and campaign iterations. MarTech Native: Highly comfortable working with marketing technology platforms such as Braze, Appsflyer, and modern CRM architectures. Strategic Thinker: Proven ability to establish high-level KPIs and evaluate holistic marketing efforts against core business growth. 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.) Technically Proficient: Highly proficient in SQL and Python, you have a strong conceptual grasp of machine learning and are fully capable of hands-on model building. Nice to Have: Braze or other CRM expertise, AI Agent building experience The base salary range listed reflects what Lime reasonably expects to offer for this role, with the final base salary determined by objective factors such as the candidate’s location and relevant skills and experience. Depending on the position, the total compensation package may also include discretionary annual performance bonus opportunities and equity, subject to applicable plan terms and eligibility requirements. #LI-HS1 #LI-Remote If you want to make an impact, Lime is the place for you. Not sure if you meet all the qualifications? If this role excites you we encourage you to apply. Explore all opportunities on our career page. Lime is proud to be an Equal Opportunity Employer. We believe different perspectives help us grow and achieve more. That’s why we’re dedicated to building and developing a team that reflects a wider range of backgrounds, abilities, identities, and experiences. If you require a reasonable accommodation during the application or hiring process, please email recruiting-operations@li.me for assistance.

Ce que vous ferez

The Marketing Science Manager will act as a strategic bridge between data science and marketing, mapping growth routes through data-driven campaigns. They are responsible for architecting user lifecycle flows, building attribution models, and optimizing marketing performance using advanced analytics.

Exigences

Candidates must have at least 5 years of experience in a marketing science or analytics role and hold a Master's degree or higher in a quantitative discipline. Proficiency in SQL and Python is required, along with a strong conceptual understanding of machine learning and experience with CRM platforms.

Avantages

• Performance bonus • Equity

Compétences indiquées

• SQL · Souhaitée
• Analyse de données · Souhaitée
• Apprentissage automatique · Souhaitée
• Communication · Souhaitée
• Python · Souhaitée

Autres compétences pertinentes

Relevées dans la description du poste. Confirmez les exigences importantes ci-dessus.

• SQL
• Python
• Machine learning
• Marketing strategy
• Data science
• Attribution modeling
• CRM architecture
• A/B testing
• Experimentation
• User lifecycle management
• KPI definition
• Data analysis
• Communication
• Presentation
• MarTech
• Segmentation
• SQL (Programming Language)
• Key Performance Indicators (KPIs)
• Leadership
• Data Science
• Machine Learning
• Artificial Intelligence
• Marketing
• Customer Relationship Management
• Equities
• Python (Programming Language)
• Marketing Strategies
• Marketing Analytics
• A/B Testing
• Attribution Modeling
• Analytics
• Forecasting
• Scalability
• Mathematics
• Statistics
• User Research
• Loan-To-Value Ratios
• Behavioral Analytics
• AppsFlyer (SaaS)
• AI Agents
• Business Success
• Econometrics
• MarTech Solutions
• Brazing (Metal Work)
• Holistic Thinking
• Language Translation
• Response Models

Domaines d’emploi

• Data & Analytics
• Marketing
• Technology
• Management & Leadership
• Software
• Marketing Science Analyst
• Marketing Manager (General)
• Sales and Marketing Managers
• Marketing Managers