Marketing Science Manager

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.

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.

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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 [email protected] for assistance.