高级数据科学家，增长营销
Senior Data Scientist, Growth Marketing
**关于 Rocket Money🔮**
Rocket Money 的使命是切实提升数百万人的财务状况。Rocket Money 为会员提供对其财务状况的独特理解，以及一系列有价值的工具和服务，帮助他们节省时间和金钱——最终在财务旅程中获得优势。
**关于团队 🤹**
在 Rocket Money，数据科学家通过构建内部和外部产品来推进我们的使命，这些产品加强了我们金融产品线中的客户关系。我们与产品和工程团队紧密合作，测试有助于客户了解、跟踪和改善个人财务的功能的有效性。数据科学家还通过机器学习驱动的个性化手段，增强增长运营，包括在注册过程中进行客户终身价值建模，以及估算营销运营与用户获取结果之间的关系。我们寻找善于跨团队协作、利用数据塑造策略，并在跨职能团队中有效交付解决方案的团队成员。虽然数据科学家主要专注于模型开发、数据准备以及实验测试与设计，但他们也参与系统架构、设计、部署和评估。
**关于职位**
Rocket Money 正在寻找一位高级数据科学家，通过使用客户终身价值建模、媒体组合归因建模以及营销策略的因果影响评估等工具，推动营销效率、归因和实验工作。该职位还将领导产品科学实验项目，包括构建用于自助式产品和 CRM 实验的工具和流程。
- 构建 Rocket Money 下一代的客户终身价值模型，并将其整合到营销组合的运营决策和优化中。
- 支持内部营销效果测量和估计方法。
- 负责从头到尾领导项目——在实施和范围上做出关键决策，同时平衡技术和业务目标，并与相关方合作以实现运营变革。
- 设计并开展实验，以评估营销和产品策略的影响。通过领导系统的营销和产品实验计划实现规模化。通过专家级别的实验设计、评估以及与产品经理的合作，为产品实验做出贡献。
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**ABOUT ROCKET MONEY🔮**
Rocket Money’s mission is to meaningfully improve the financial prosperity of millions of people. Rocket Money offers members a unique understanding of their finances and a suite of valuable services that save them time and money – ultimately giving them a leg up on their financial journey.
**ABOUT THE TEAM 🤹**
Data Scientists at Rocket Money advance our mission by building internal and external products that strengthen customer relationships across our financial offerings. We work closely with product and engineering teams to test the effectiveness of features that help customers understand, track, and improve their personal finances. Data Scientists also enhance growth operations through ML-powered personalization during onboarding, modeling customer lifetime value, and estimating the relationship between marketing operations and user acquisition outcomes. We seek team players who excel at cross-team collaboration, use data to shape strategy, and deliver solutions effectively within cross-functional teams. While Data Scientists primarily focus on model development, data preparation, and experimental testing + design, they also contribute to system architecture, design, deployment, and evaluation.
**ABOUT THE ROLE**
Rocket Money is looking for a Senior Data Scientist to drive marketing efficiency, attribution, and experimentation efforts through the use of tools like customer lifetime value modeling, media mix attribution modeling, and causal impact assessments of marketing strategies. This role will also lead product scientific experimentation program efforts, including building tooling and processes for self-service product and CRM experimentation.
- Build the next generation of Rocket Money’s customer lifetime value models and integrate into the operational decision making and optimization of our marketing portfolio.
- Support internal marketing effectiveness measurement and estimation approaches.
- Be responsible for leading projects from start to finish — making key decisions on both implementation and scope while balancing technical and business goals and working stakeholders to implement operational change.
- Design and conduct experiments to estimate the impact of marketing and product strategies. Create scale by leading a systematic marketing and product experimentation program. Contribute to product experimentation via expert level experimental design, assessment, and collaboration with product managers.
- Work with data engineering and analytics teams to build scalable and durable machine learning to data analytics pipelines that enable marketing and product experimentation operations.
- Optimize to continuous product feedback loops — you understand that data product development is the practice of a continuous lifecycle of measurement, analysis, modeling, and hypothesis testing. You understand how to build, test, and deliver internal facing predictive tools. You understand how to effectively design and assess experiments for a variety of user facing experiences.
- Maintain a high technical bar by mentoring other members, participating in code reviews, and ensuring quality in production systems. Level up others around you via effective technical mentoring.
- Work with engineering teams to design and architect predictive feedback mechanisms for digital ad networks and add new features to our in-house experimentation engine.
- Be on the cusp of new developments in marketing data science tech and drive operational changes in marketing that are cutting edge.
- Create scalable approaches and tooling that allow others on the data team to undertake product experimentation without your direct input.
**ABOUT YOU 🦄**
- 6+ years of professional experience in data science, with proficiency in SQL, at least one scripting language, statistical modeling, and engineering scalable experimentation solutions.
- You have direct experience building production grade tooling for operational use by teams of internal decision makers. You know how to drive marketing and product strategy with experimental and observational data _and_ build the tools that can implement it at the tactical level.
- You’ve worked with engineering teams to design optimal feedback signals between applications and ad networks or build experimentation platforms.
- You are a team player with a proven ability to collaborate across teams and communicate technical insights effectively, driving alignment with marketing strategy and operations.
- You care about **problems**, not _publications_. Solving business problems is your primary goal. We love recovering academics that aren’t looking in the rearview.
- You care just as much about why you're solving a problem as the solution. You always want a deep understanding of context and business impact. You are a data scientist first but an expert analyst when necessary.
- Excellent writing, presentation, and communication skills. Documenting, soliciting feedback, and securing alignment among collaborators is second nature.
- Deep experience in several of the following in a professional capacity: customer segmentation, customer lifetime value modeling, A/B testing and causal inference, media mix modeling.
- Experience in fintech, banking, or finance is a plus.
**WE OFFER 💫**
- Health, Dental & Vision Plans
- Life Insurance
- Long/Short Term Disability
- Competitive Pay
- 401k Matching
- Team Member Stock Purchasing Program (TMSPP)
- [Learning & Development Opportunities](https://www.myrocketcareer.com/working-here/training-and-development/)
- Tuition Reimbursement
- Unlimited PTO
- Daily Lunch, Snacks & Coffee _(in-office only)_
- Commuter benefits _(in-office only)_
Additional information: Salary range of $180,000 - $235,000/year + bonus + benefits. Base pay offered may vary depending on job-related knowledge, skills, and experience.
_This job description is an outline of the primary responsibilities of this position and may be modified at the discretion of the company at any time. Decisions related to employment are not based on race, color, religion, national origin, sex, physical or mental disability, sexual orientation, gender identity or expression, age, military or veteran status or any other characteristic protected by state or federal law. The company provides reasonable accommodations to qualified individuals with disabilities in accordance with applicable state and federal laws._
_The information regarding compensation and other benefits included in this paragraph is the company’s current, good faith estimate at the time of posting. [Compensation and benefits are subject to modification from time to time as the Company, in its sole and exclusive discretion, deems appropriate.] The Company may determine during its future reviews of the proposed compensation and benefits provided for this position, that the compensation and benefits for such position should be reduced. In no event will the Company reduce the compensation for the position to a level below the applicable jurisdictional minimum wage rate for the position. Los Angeles County and San Francisco Candidates only: qualified applicants with arrest or conviction records will be considered for employment per the Fair Chance Ordinance and the Fair Chance Initiative for Hiring._