Senior Data Scientist

Job not on LinkedIn

October 3

🏈 Ohio – Remote

Although this job is listed in Ohio, this company may be open to hiring remote in other states.

💵 $150k - $200k / year

⏰ Full Time

🟠 Senior

📊 Data Scientist

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Splash Financial

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Finance • Fintech

Splash Financial is a company that offers a variety of loan products, including personal loans, student loan refinancing, in-school student loans, and medical school loan refinancing. The company provides a platform where users can compare loan offers from multiple lenders across the United States. Splash Financial emphasizes ease of use, allowing users to check loan rates quickly without affecting their credit scores. The company ensures data privacy and offers customer support to assist with the loan process. It serves individuals seeking to manage debt or finance educational expenses through tailored loan solutions.

51 - 200 employees

💸 Finance

💳 Fintech

📋 Description

• Analyze and interpret complex datasets to generate clear, actionable insights that inform business and product decisions. • Design, build, and deploy machine learning models that enhance underwriting, risk management, customer experience, and other core fintech functions. • Write clean, efficient Python code for data analysis and model development. • Collaborate with cross-functional teams to understand their data needs. • Provide constructive feedback on data analyses and model implementations. • Work within an OKR-driven organization with a clear mission. • Participate actively in our highly collaborative, fully remote culture.

🎯 Requirements

• At least 3–5+ years in data science, machine learning, or a closely related field, ideally in a fast-paced environment. • Advanced degree (MS or PhD) in a quantitative field (e.g., Computer Science, Statistics, Mathematics, Economics, Engineering). PhD-level research or industry experience, especially with a hypothesis-driven problem-solving approach, is highly valued. • Proficiency in Python for data analysis, modeling, and production-level code. • Experience with classical machine learning and a solid understanding of statistical modeling, feature engineering, and model evaluation techniques. • High candor, providing and accepting constructive feedback graciously. • Understanding that there can be multiple correct solutions, with a willingness to disagree and commit. • Experience in unsecured lending and installment loan industries is a big plus.

🏖️ Benefits

• Fully remote work freedom • Competitive salary packages • Flexible PTO + 9 company holidays • Equity: Share in our start-up success • Comprehensive and affordable insurance benefits • Paid parental leave for both caregivers • Essential equipment to get the job done • 401(k) for your future savings • Quarterly meet-ups: In person & virtual fun • Awesome Splash swag to flaunt your team spirit