Mission Lane

Principal Data Scientist, Operations

Mission Lane$183K — $224K *
US-AnywhereRemote in United States
Finance & Insurance
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • PhD in a quantitative field with 3+ years of relevant experience or BS/MS in a quantitative field with 7+ years of experience.
  • Proven experience managing supervised learning models in production for critical applications.
  • Strong technical mentoring skills to support less experienced data scientists.
  • Expertise in software engineering best practices, including test-driven development and code reviews.
  • Familiarity with the PyData stack and solutions like Spark and Kubernetes.

Responsibilities

  • Design and develop machine learning models to address practical business problems.
  • Collaborate with business leaders to explore new data sources and enhance modeling methods.
  • Apply sound risk management practices to model deployment.
  • Lead technical discussions to operationalize and evaluate models for real-world applications.
  • Innovate in the development of both established and emerging machine learning tools.

Benefits

  • Engaging company culture with training programs and growth opportunities.
  • Comprehensive health, dental, and vision benefits, along with flexible spending accounts.
  • Generous paid time off and flexible scheduling options.
  • Employee wellness programs including a Calm App subscription.
Full Job Description
About the Role

As a Principal Data Scientist, you will innovate and improve the machine learning models we rely on to make billions of dollars of efficient and accurate decisions and to enable financial progress for our customers.

As a Principal Data Scientist, you'll:

Design, develop, and deploy machine learning models to solve practical problems and help our business and customers reach their financial goals. You'll partner with business leaders and technical experts across the company to develop new data sources, improve our modeling methodology, and apply models with sound risk management.

You are a person who:
  • Has created, deployed, and managed supervised learning models in production systems for vital applications and enjoys being a technical mentor
  • Has a PhD in a quantitative field and 3+ years of experience in a related role
  • Has a BS / MS in a quantitative field and 7+ years of experience in a related role
  • You share best practices for software engineering and can help smart, experienced data scientists with complex technical problems - especially operationalizing and evaluating models for real-world applications
  • Considers themself a generalist data scientist more motivated by practical solutions than theoretical elegance
  • Practices solid fundamentals with software engineering (test-driven development, code review, refactoring) and the PyData stack (numpy, scikit-learn, pandas, etc.)
  • Is interested in a wide range of ML solutions, including established tools (e.g. Spark, Kubernetes, Airflow, MLFlow), emerging tools (like Chalk, BentoML, or DVC), and developing in-house tools

You get bonus points for:
  • Experience building predictive models end to end
  • Experience solving problems in consumer lending or fintech
  • Interest in developing ways to train, interpret, and deploy neural network architectures for time series classification tasks

We're offering:

We're committed to ensuring our team members have balance in their lives. Our comprehensive benefits package provides the support you need to thrive at work and at home.
  • Work: An engaging culture with access to training programs and advancement opportunities
  • Life: Full health, dental, and vision benefits, Flexible Spending Account (for medical and childcare expenses), paid parental leave, and a 401k Company Match
  • Balance: Generous PTO, flexible schedules, a Calm App subscription, and more

Compensation

Annual full-time base salary range: $183,000 - 224,000

Additional compensation in the form(s) of participation in our annual incentive program and equity are dependent on role. 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 unlimited 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-friendly work environment.

About Mission Lane

LendUp was an American online direct lender. It offered payday loans, installment loans, and credit cards to consumers with low credit scores using publicly available data to assess creditworthiness. The company referred to its customers as “the emerging middle class.” LendUp also issued credit cards in partnership with Tom Steyer's Beneficial State Bank. LendUp was co-founded by in 2011 by stepbrothers Sasha Orloff and Jake Rosenberg and incubated at Y Combinator.The company positioned itself as a "socially responsible lender," and claimed to provide access to financial services for "underbanked" Americans in addition to lower cost credit and credit-building opportunities. LendUp received $325 million in equity and debt financing from PayPal, Kleiner Perkins Caufield & Byers, Google Ventures, Andreessen Horowitz, Alexis Ohanian, Y Combinator and QED Investors, among others. In an article published shortly after the company's launch, Time Magazine wrote that LendUp "says it’s not like other payday lenders. Yet the fees it charges — a little over $30 to borrow $200 for two weeks — are similar to what its competitors charge." In 2016, LendUp paid $6.3 million in fines for deceptive practices and widespread violations of payday and installment loan laws. In 2016 it was again sued by the Consumer Financial Protection Bureau for violating the Military Lending Act.
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