Principal Data Scientist, Operations

🕒 April 20

⚔️ Virginia – Remote

⚔️ Virginia – Remote

💵 $183k - $224k / year

⏰ Full Time

🔴 Lead

📊 Data Scientist

🦅 H1B Visa Sponsor

This company has sponsored H1B visas in the past.

👻 Ghost score 35%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Mission Lane

WebsiteLinkedInAll Job Openings

501 - 1000 employees

Founded 2018

💼 Consulting

📣 Marketing

🛡️ Insurance

Consulting • Marketing • Insurance

Mission Lane is a financial services company that focuses on providing accessible credit options for individuals, particularly those underserved by traditional financial institutions. They offer the Mission Lane Visa® Credit Card, which allows applicants to see if they are approved without impacting their credit score. The company aims to support members on their financial journeys through education and tools that promote healthy financial habits, ensuring that millions of Americans have access to the resources they need to build credit and improve their financial situations.

📋 Description

• Innovate and improve the machine learning models to enable financial progress for customers • Design, develop, and deploy machine learning models to solve practical problems • Partner with business leaders and technical experts to develop new data sources and improve modeling methodology

🎯 Requirements

• 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 • Shares best practices for software engineering and can help smart, experienced data scientists with complex technical problems • Consider themselves a generalist data scientist motivated by practical solutions • 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), emerging tools (like Chalk, BentoML, or DVC), and developing in-house tools

🏖️ Benefits

• 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