首席运营数据科学家
Principal Data Scientist, Operations
Mission Lane 正在利用数据、技术和卓越服务的结合，为数以百万计的人铺平通往财务成功的道路。通过吸引顶尖人才并运用前沿技术，我们帮助人们实现真正的财务进步。听起来这是你愿意支持的使命吗？
我们正在寻找一位高级数据科学家，作为 Mission Lane 收款模型的技术核心，向数据科学总监汇报。
你将带来的影响：
没有人希望在付款上落后，但有时生活会打乱计划。在这些关键时刻，Mission Lane 的应对方式取决于你所构建的模型。
对某人来说能推动前进的方式，对另一个人可能完全不同。有些人对短信有反应，有些人需要对话，有些人只是需要更多时间。弄清楚哪些是哪种情况，是我们这里最有趣的开放性问题之一，目前该领域尚未完全解决。
Mission Lane 还很年轻，但我们正处于一个令人兴奋且稳定的成熟阶段。特别是收款数据科学实践仍在形成中，因此有机会在这里定义“优秀”的标准。
你将负责：
- 实施收款的数据科学路线图，作为日常主要技术联系人，并为与你一起工作的数据科学家、顾问和承包商设定严谨性和生产质量的标准
- 全流程模型，预测客户对不同类型的联系方式的可能反应，并决定 Mission Lane 使用哪种方法以及何时使用
- 可持续的内部建模实践，减少未来这项工作需要通过外部顾问完成的次数
我们的核心技术栈包括：
Python 和 PyData 堆栈（numpy、polars、scikit-learn）、LightGBM、DVC、Kubernetes、Airflow、Google Cloud、MLFlow、BentoML，以及我们的特征存储 Chalk。
如果你具备以下条件，你会在这个职位上表现出色：
- 你能快速适应新领域。你不需要有收款经验，就能迅速掌握业务背景，并将其与技术问题联系起来。
- 你能将建模选择追溯到它所解决的业务问题，确保建模技术始终服务于目标。
- 你能清晰地解释你的思路，让顾问、承包商和全职团队成员都能理解并跟进你的标准。
最低资格要求：
- 量化领域的博士学位，且有 3 年以上相关工作经验，或本科/硕士学历在相关领域
查看英文原文
Mission Lane is combining the power of data, technology, and exceptional service to pave a clear way forward for millions of people on the path to financial success. By attracting top talent and leveraging cutting-edge technology, we’re enabling people to unlock real financial progress. Sound like a mission you can get behind?
We're looking for a Principal Data Scientist to be the technical anchor for Mission Lane's collections models, reporting to the Director, Data Science.
The impact you'll make:
Nobody wants to fall behind on a payment, but life gets in the way sometimes. How Mission Lane responds in those moments depends on the models you'll build.
What helps someone move forward isn't the same from person to person. Some respond to a text, some need a conversation, some just need more time. Working out which is which is one of the most interesting open questions here, one the field hasn't fully solved yet.
Mission Lane is young, but we've landed in an exciting, stable stretch of maturation. The collections data science practice specifically is still taking shape, so there's room to define what "good" looks like here.
What you'll own:
- Implementation of the data science roadmap for collections, serving as the primary technical point of contact day to day, and setting the standard for rigor and production quality across the data scientists, consultants, and contractors working alongside you
- End-to-end models that anticipate how customers are likely to respond to different kinds of outreach, and that shape which approach Mission Lane uses and when
- Durable internal modeling practices that reduce how much of this work needs to run through outside consultants over time
Our core tech stack includes:
Python and the PyData stack (numpy, polars, scikit-learn), LightGBM, DVC, Kubernetes, Airflow, Google Cloud, MLFlow, BentoML, and Chalk, our feature store.
You'll thrive in this role if:
- You adapt quickly to a new domain. You don't need collections experience in order to pick up the business context fast and connect it to the technical problem.
- You can trace a modeling choice back to the business problem it's solving, keeping the modeling technique in service of the goal.
- You can explain your reasoning clearly enough that consultants, contractors, and full-time teammates alike can pick up your standard and run with it.
Minimum qualifications:
- A PhD in a quantitative field and 3+ years of experience in a related role, or a BS/MS in a quantitative field and 7+ years of experience in a related role
- Has created, deployed, and managed supervised learning models in production systems for vital applications
- Shares best practices for software engineering and can help experienced data scientists work through complex technical problems, especially operationalizing and evaluating models for real-world use
- Practices solid software engineering fundamentals (test-driven development, code review, refactoring) and works fluently in our core tech stack
- Interested in a wide range of ML tooling, from established tools (Spark, Kubernetes, Airflow, MLFlow) to emerging ones (Chalk, BentoML, DVC)
- Experience assuming project leadership on a workstream, working independently with guidance focused on priorities and key objectives
- Ability to travel ~4+ times per year for high quality in-person collaboration
Compensation:
Annual full-time starting base salary range: $173,000 - $203,000
This role is eligible for additional compensation in the forms of participation in our annual incentive and equity programs.
Pay is based on factors such as work experience, education, certification(s), training, skills, and competencies related to the role. Mission Lane also offers a comprehensive benefits plan, which includes paid time off, 401(k) match, a monthly wellness stipend, health/dental/vision insurance options, disability coverage, paid parental leave, flexible spending account (for childcare and healthcare), life insurance, and a remote-first work environment.
About Mission Lane:
Founded in December 2018, Mission Lane is a purpose-driven fintech company based in the U.S., with headquarters in Richmond, Virginia.
It all started with a realization: nearly fifty percent of the adult population in the U.S. doesn’t have access to a clear line of credit. Most traditional credit card companies either overlook or overcharge this group because they have less-than-perfect credit scores or no scores at all. We decided this just wouldn’t do.
In partnership with our sponsor banks, we offer credit cards under the Mission Lane brand name, with better, clearer terms, and a more refined customer experience than the alternatives available to people working hard to improve their credit. To date, over four million consumers have chosen Mission Lane, earning high customer ratings on Credit Karma for its market segment and industry leading Net Promoter scores.
Mission Lane has cumulatively raised over $600 million of equity from leading investors, including Invus Opportunities, QED Investors, LL Funds, funds affiliated with Oaktree Capital Management, and other leading investors.
Our commitment to a workplace built on respect and dignity is guided by our core value of Unity. We believe that everyone plays a vital role in our shared purpose, and we actively cultivate an environment where all individuals have the opportunity to do their best work. By fostering a culture of empathy and collaboration, we create a strong sense of belonging and support for every team member.
Mission Lane is an equal opportunity employer. We do not discriminate on the basis of race, color, religion, sex (including pregnancy, sexual orientation, or gender identity), national origin, age, disability, genetic information, or any other protected status.
Mission Lane provides reasonable accommodations to applicants who need them for medical or religious reasons, as required by law. Applicants can initiate an accommodation request by contacting peopleexperience@missionlane.com.
Mission Lane is not sponsoring new applicant employment authorization and please, no third-party recruiters.
Application Integrity:
Our cardholders trust us with their financial well-being, and this trust starts with the integrity of the people on our team. We're looking for team members who share our dedication to transparency and truth. Please verify that the information in your application is accurate and complete.
Providing any information to Mission Lane that is not completely truthful at any point during the application or hiring process may result in removal from the hiring process, disqualification from future opportunities, withdrawal of an offer or other sanctions for candidates and, in addition for employees, disciplinary action, up to and including termination of employment.