Lead Machine Learning Scientist

🔥 13 hours ago

🇺🇸 United States – Remote

💵 $174k - $224k / year

⏰ Full Time

🟠 Senior

🤖 Machine Learning Engineer

🦅 H1B Visa Sponsor

This company has sponsored H1B visas in the past.

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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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Dave

WebsiteLinkedInAll Job Openings

201 - 500 employees

💳 Fintech

🏦 Banking

👥 B2C

Fintech • Banking • B2C

Dave is a financial services company that aims to provide a fair and affordable banking experience for individuals who feel overlooked by traditional banks. The company was founded on the belief that banks have built products that are often predatory, exemplified by high overdraft fees. In an effort to combat this, Dave offers features like $500 advances, fee-free goal tracking, and support for individuals seeking side hustles to improve their financial situations. Their mission revolves around leveling the financial playing field and making financial solutions accessible to everyone.

📋 Description

• Develop, train, validate, and optimize advanced fraud detection models • Identify synthetic identities, first-party fraud, account takeover, and emerging fraud patterns • Explore large, diverse datasets and engineer predictive features • Evaluate modeling approaches and translate findings into production-ready fraud solutions • Own the machine learning lifecycle from research and prototyping through testing, deployment, monitoring, and continuous improvement • Use modern AI tools and techniques to improve research, coding, feature development, experimentation, validation, and modeling workflows • Analyze model performance, fraud trends, approval rates, and portfolio outcomes • Improve detection accuracy, reduce losses, and support responsible growth • Partner with Engineering, Product, and Risk Operations to integrate models into production systems • Solve implementation challenges and share technical knowledge • Report to the Director, Risk Science

🎯 Requirements

• 7+ years of hands-on machine learning experience • Demonstrated track record of personally developing, deploying, and optimizing predictive models in production environments • Deep fraud modeling expertise, including identity fraud, synthetic identities, first-party fraud, and account takeover • Experience ideally within fintech, consumer lending, or financial services • Advanced proficiency in Python and SQL • Strong experience in feature engineering, model development, experimentation, performance evaluation, and production ML systems • 4+ years of experience with ML frameworks and cloud technologies, including tools such as TensorFlow, PyTorch, Spark, and cloud-based ML infrastructure • Experience leveraging generative AI and AI-assisted tools across research, coding, analysis, experimentation, testing, and model development • Strong analytical and business judgment across fraud prevention, approval rates, profitability, compliance, and member experience • Ability to independently tackle complex ML problems, make sound technical decisions, and deliver measurable results • Strong communication and collaboration skills • Ability to explain technical findings, partner across functions, and mentor fellow scientists • Bachelor's degree in Computer Science, Mathematics, Statistics, Engineering, or a related quantitative field, or equivalent practical experience • Experience with graph databases, graph-based fraud detection, or network analytics is a bonus • Permanently authorized to work in the United States without visa sponsorship

🏖️ Benefits

• Opportunity to tackle tough challenges, learn and grow from fellow top talent, and help millions of people reach their personal financial goals • Flexible hours and virtual-first work culture with a home office stipend • Premium Medical, Dental, and Vision Insurance plans • Generous paid parental and caregiver leave • 401(k) savings plan with matching contributions • Financial advisor and financial wellness support • Flexible PTO and generous company holidays, including Juneteenth and Winter Break • All-company in-person events once or twice a year and virtual events throughout to connect with team members and leadership team • Equity offered