Senior Data Scientist, Credit

Mission Lane

Senior Data Scientist enhancing machine learning models driving financial progress at Mission Lane. Collaborating to develop solutions and improve risk management through data insights.

Posted 7/21/2026full-timeRemote • 🇺🇸 United StatesSenior💰 $120,000 - $135,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in developing and deploying machine learning models, with a strong foundation in software engineering practices and risk management. Proficient in utilizing the PyData stack and established ML tools to drive financial progress through innovative solutions.

Highest-signal resume keywords

PhD In A Quantitative FieldSupervised Learning Model DevelopmentSoftware Engineering FundamentalsPyData Stack (Numpy, Scikit-Learn, Pandas)Machine Learning Tools (Spark, Kubernetes, Airflow, MLFlow)

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Machine Learning Model DevelopmentRisk ManagementTest-Driven DevelopmentCode ReviewRefactoring

Soft Skills

CollaborationPartnership

Tools & Technologies

NumpyScikit-LearnPandasSparkKubernetesAirflowMLFlow

Industry Keywords

Financial ProgressQuantitative FieldData Sources

Tech Stack

Tools & technologies

AirflowKubernetesNumpyPandasScikit-LearnSpark

About the role

Key responsibilities & impact

Innovate and improve machine learning models for financial progress
Collaborate on designing, developing, and deploying machine learning models
Partner with business leaders and technical experts to develop new data sources
Apply models with sound risk management

Requirements

What you’ll need

PhD in a quantitative field and 1+ years of experience in a related role
BS / MS in a quantitative field and 3+ years of experience in a related role
Collaborated on creating, deploying, and managing supervised learning models in production systems
Practices solid fundamentals with software engineering (test-driven development, code review, refactoring) and the PyData stack (numpy, scikit-learn, pandas, etc.)
Interested in a wide range of ML solutions, including established tools (e.g. Spark, Kubernetes, Airflow, MLFlow)

Benefits

Comp & perks

Full health, dental, and vision benefits
Flexible Spending Account (for medical and childcare expenses)
Paid parental leave
401k Company Match
Generous PTO
Flexible schedules
Calm App subscription
Additional compensation in the form(s) of participation in our annual incentive program and equity