Applied Scientist

🔥 15 hours ago

🇺🇸 United States – Remote

💵 $141.5k - $196k / year

⏰ Full Time

🟢 Junior

🟡 Mid-level

🧬 Research Scientist

🦅 H1B Visa Sponsor

This company has sponsored H1B visas in the past.

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Upstart

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

🚘 Automotive

💼 Consulting

🏥 Healthcare

Automotive • Consulting • Healthcare

Upstart is a leading AI lending marketplace partnering with banks and credit unions to expand access to affordable credit. The company focuses on revolutionizing lending and credit risk evaluation by leveraging its AI marketplace, which allows for higher approval rates and lower loss rates for Upstart-powered banks and credit unions. Recently, Upstart has expanded its offerings to include automobile refinancing. With a mission to enable effortless credit based on true risk, Upstart is also known for its digital-first lending experience and holds a significant position in the financial services sector.

📋 Description

• Develop, train, and evaluate machine learning models to improve predictive performance and support lending decisions • Analyze large datasets to identify patterns, develop features, and inform modeling approaches • Design and execute experiments to assess model performance, validate hypotheses, and identify improvement opportunities • Collaborate with scientists and engineers to implement, monitor, and refine models in production environments • Document methodologies, communicate findings, and contribute to reproducible scientific workflows • Translate complex data into modeling improvements and measurable outcomes

🎯 Requirements

• Bachelor’s degree in Computer Science, Engineering, Mathematics, Statistics, or a related field, or equivalent practical experience • 0–2 years of experience in machine learning, applied statistics, or a related quantitative field • Experience developing or evaluating machine learning models using Python • Experience applying statistical methods, including hypothesis testing, regression, or predictive modeling, to quantitative datasets • Advanced degree, ideally a PhD, in a related quantitative field (preferred) • Knowledge of supervised learning techniques, model evaluation, and feature engineering • Familiarity with PyTorch, TensorFlow, or scikit-learn • Experience with large-scale datasets using SQL or distributed data processing tools • Ability to communicate modeling approaches and experimental results to technical and nontechnical audiences

🏖️ Benefits

• Competitive compensation, including base pay, bonus opportunities, and annual equity grants that vest quarterly • Retirement benefits including a 401(k) or Group Retirement Savings Plan with a company match of $2 for every $1 contributed, up to $15,000 annually • Employee Stock Purchase Plan (ESPP) with discounted stock purchase options for eligible employees (US only) • Comprehensive health coverage including medical, dental, vision, and wellness resources for US employees; supplemental health coverage for Canada • Health Savings Account contributions for eligible US plans • Life insurance and disability coverage • Paid time off, sick leave, and company holidays • Paid family and parental leave • Family-centered fertility, parenthood, and caregiving benefits • Employee Assistance Program offering mental health support and life-centered resources • Financial planning tools and financial concierge service (US only) • Annual wellness allowance • Annual productivity allowance for relevant tools and resources • Team events, all-company updates, and employee resource groups • Catered lunches and stocked micro-kitchens at offices in the Bay Area, Austin, Columbus, and New York City

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