Marketing Science Manager

We need to output HTML fragment with sections: About the role, Responsibilities, Requirements, Qualifications, Skills, Benefits, Pay, Schedule. Only include sections that have real specific content. We must not repeat job title as heading. Must not include Job ID etc. Remove boilerplate. Must preserve all substantive info. We need to parse the posting. Content: Intro paragraph: "As the largest global shared micromobility business..." up to "Learn more at li.me." This is about company, maybe not needed? It's not a section heading; we can include as

maybe under About the role? The instruction: use

for section headings (e.g. About the role, Responsibilities, Requirements, Qualifications, Skills, Benefits, Pay, Schedule). So we need to decide which sections to include based on content. We have: - About the role: description of role: "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 the United States to maintain effective collaboration across teams." That's about the role. - What You’ll Do: list of responsibilities bullet points. - About You: qualifications, requirements, skills. - U.S. Based Position - What We Offer: benefits. - Compensation Range: $112K - $154K. Also mention remote position requirement. We need sections: About the role (maybe combine intro and role description). Responsibilities (list). Requirements (maybe experience/education). Qualifications (maybe degree). Skills (technical proficiencies). Benefits (what we offer). Pay (compensation range). Schedule? Not mentioned; maybe remote position but schedule not specified. So we should not create Schedule section because no specific content. We must not include placeholder like "commensurate with experience". Not present. We need to ensure we don't duplicate content. Let's extract: About the role: The paragraph(s) describing role. Responsibilities: bullet list under "What You’ll Do". Items: - 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. We need to put each as

inside

. About You: includes: - 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 - U.S. Based Position - requirement for candidates to reside in the United States (already mentioned earlier). Might be part of Requirements. We need to split into Requirements, Qualifications, Skills maybe. But we can combine: Requirements: 5+ years experience, Masters degree, US residency. Qualifications: maybe the "Business-Facing Scientist", Experimentation Mindset, MarTech Native, Strategic Thinker. Skills: SQL, Python, machine learning conceptual grasp, model building, Braze/Appsflyer, CRM, AI Agent building (nice to have). However we need to avoid thin sections; maybe we can have just Requirements and Skills and Benefits and Pay. But instructions: Prefer a few substantive sections over many thin ones. So we could have About the role, Responsibilities, Requirements (including experience, education, location), Skills (technical proficiencies), Benefits, Pay. We must not create sections with filler. Ensure each section has real content. Let's craft:

About the role

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 the United States to maintain effective collaboration across teams.

Responsibilities

• 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.

Requirements

• 5+ years of experience in a Marketing Science/Marketing Analytics role
• Master’s degree or higher in a quantitative discipline (Mathematics, Statistics, Data Science, Econometrics, etc.)
• Reside in the United States (remote role)

Skills

• Highly proficient in SQL and Python
• Strong conceptual grasp of machine learning and capable of hands‑on model building
• Experience with marketing technology platforms such as Braze, Appsflyer, and modern CRM architectures
• Exceptional presentation and communication skills for business‑facing stakeholder interaction
• Proven ability to establish high‑level KPIs and evaluate holistic marketing efforts against core business growth
• Deep experience utilizing model outputs to drive continuous A/B testing, experimentation, and campaign iterations
• Nice to have: Braze or other CRM expertise, AI Agent building experience

Benefits

• Comprehensive Health & Wellness: choice of medical, dental, and vision plans; company‑paid life and disability insurance; company‑funded mental health benefits
• Financial & Retirement Planning: 401(k) plan with pre‑tax and Roth options; access to a Health Savings Account (HSA) with monthly company contribution
• Family & Fertility Support: paid parental leave for birthing and non‑birthing parents; fertility and family‑forming benefits
• Paid Time Off: unlimited vacation, paid leaves, and 10 company holidays
• Unique Lime Perks: complimentary use of Lime vehicles in participating cities; monthly phone allowance; dedicated learning and development days; access to perks including One Medical, Wellhub, and Headspace

Pay

Compensation range: $112K – $154K base salary (final base salary determined by location, skills, and experience; total compensation may include discretionary annual performance bonus and equity).

We should not include Schedule section. Check for any boilerplate: we removed EEO, equal opportunity, accommodation, etc. Also removed "Learn more at li.me." maybe we could keep as part of About the role? It's not essential but it's substantive? It's a link to learn more; could be considered boilerplate? It's not navigation/legal/EEO. It's a company link. Might be okay to keep but not required. The instruction: Remove cookie/navigation/legal/EEO/equal-opportunity/scam-warning boilerplate, duplicated lines, and application instructions. The "Learn more at li.me." is not those; it's just a link. Could keep but it's not necessary. Safer to remove? It's not boilerplate but it's a call to action. Might be considered application instruction? Not exactly. I'd keep it maybe as part of About the role? But we already have a paragraph; adding that sentence might be okay. However we already have a paragraph describing role; adding "Learn more at li.me." could be considered extra but not harmful. I'd keep it maybe as a separate sentence. But we must preserve ALL substantive information; do NOT invent or summarize away detail. The "Learn more at li.me." is substantive? It's a reference to learn more about the company. It's not critical but it's info. I'd include it. Add at end of About the role paragraph: "Learn more at li.me