Mission Lane

Senior Data Scientist, Credit

Mission Lane$120K — $135K *
US-AnywhereRemote in United States
Finance & Insurance
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • PhD in a quantitative field with 1+ years of experience or BS/MS with 3+ years in a related role
  • Experience with supervised learning models in production systems
  • Strong collaboration skills with both technical and business teams
  • Advocates for software engineering best practices
  • Broad interest in various ML solutions and tools
  • Familiarity with the PyData stack (numpy, scikit-learn, pandas)
  • Motivated by practical solutions over theoretical ones

Responsibilities

  • Design and deploy machine learning models to solve business problems
  • Collaborate with business leaders to align modeling with financial goals
  • Develop new data sources and enhance existing modeling methodologies
  • Implement risk management practices in model applications
  • Share best practices and mentor junior data scientists
  • Operationalize and evaluate models in real-world settings
  • Explore and experiment with emerging tools for model development

Benefits

  • Engaging work culture with training and advancement opportunities
  • Comprehensive health, dental, and vision coverage
  • Flexible Spending Account for medical and childcare expenses
  • Generous paid time off and flexible work schedules
  • Subscription to Calm App for wellness support
Full Job Description
About the Role

As a Senior 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 Senior Data Scientist, you'll:

Collaborate on designing, developing, and deploying 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 collaborated on creating, deploying, and managing supervised learning models in production systems for vital applications
  • Has a PhD in a quantitative field and 1+ years of experience in a related role
  • Has a BS / MS in a quantitative field and 3+ 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 managing a strong technical team
  • 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 USD
Annual full-time base salary range: $120,000 - $135,000

Additional compensation in the form(s) of participation in our annual incentive program and equity are available for this 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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