Data Scientist II (AI)

Location: Fort Worth, Texas, United States; hybrid schedule with two days per week in the office

Company

Global automotive finance provider offering retail financing, leasing, commercial lending, and dealer finance solutions across North America, South America, and the Asia Pacific region.

What you will do

• Research, analyze, and model organizational and portfolio data.
• Develop, deploy, maintain, and monitor predictive, prescriptive, and statistical models for originations, collections, risk, pricing, fraud, customer experience, and marketing.
• Apply forecasting, optimization, data mining, supervised machine learning, and advanced statistical techniques to business problems.
• Design research projects, collect and analyze data, summarize findings, and develop recommendations.
• Present analysis and business implications to leadership and partner with internal departments on analytics strategy.
• Prioritize multiple projects, meet deadlines, and ensure analytical products meet business needs.

Requirements

• 2–4 years of experience as a Data Scientist or in a similar quantitative field.
• Master’s degree or PhD in Statistics, Applied Mathematics, Econometrics, Economics, Operations Research, Industrial Engineering, Computer Science, Physics, or a similar quantitative discipline; equivalent education, certifications, or experience may be considered.
• Advanced knowledge of regression, sampling, time series, survival analysis, clustering, categorical data analysis, decision trees, multivariate methods, non-parametric techniques, principal components, and linear programming.
• Advanced skills in Python, SAS, SQL, R, JMP, Excel, Word, and PowerPoint.
• Experience with technical systems, datasets, data warehouses, large datasets, data analysis, and model documentation and monitoring protocols.
• Strong quantitative, analytical, problem-solving, communication, presentation, and project management skills.

Nice to have

• Experience using AI tools such as Microsoft Copilot in daily work.
• Ability to evaluate AI outputs for accuracy, compliance, and bias.
• Experience integrating AI into workflows and familiarity with AI-assisted research, summarization, and content generation.

Culture & Benefits

• Flexible hybrid work environment with two office days per week.
• 401(k) matching and a benefits package available from the first day.
• 12 weeks of fully paid bonding leave for new parents.
• Tuition assistance, training, community service pay, and nine company holidays.
• Employee auto discount and competitive pay with bonus eligibility.