Data Scientist

About the Role

Key Responsibilities

• Works with partners in Operations to aid in the development and implementation of score-based and logic-based collections practices.
• Works closely with Managers during the creation and validation of valuation products.
• Responsible for the collection, management, and analysis of internal data to support modeling and collections strategies.
• Implements, tracks, and validates score-based collections strategies.
• Facilitates the use of Data Science methodologies throughout the servicing operation.

Requirements

• Bachelor's degree in Statistics, Engineering, or qualitative science.
• 2+ years of Data Scientist or related experience.
• Intermediate to Advanced Proficiency in MS Office and other systems.
• Proficiency with base SAS and Python or R.
• Expertise with formal statistical methodologies.
• Strong knowledge of logit models, generalized linear models, categorical data analyses, ANOVA and regression, ML packages, and cloud computing.
• Proficiency with MS Office, particularly Excel.

Nice to Have

• Master's or advanced degree in Statistics, Engineering, or a quantitative science.
• Additional experience that would help; quantify where possible.
• Proficiency with base Python or R.

Qualifications

• Bachelor's degree in relevant field.
• 2+ years of relevant experience.

Benefits & Perks

• Annual salary ranging from $82,500 to $107,199, based on location, experience, skills, and competencies.
• Monthly incentives or annual bonus.
• Paid training and development programs, including MCM Academy.
• Recognition programs including awards and prizes.
• Tuition assistance for related coursework.
• Comprehensive healthcare plans and wellness programs.
• Paid time off for volunteering, volunteer grants, and matching donations.
• Retirement savings options.
• Paid leave and flexible options for new parents.
• Company-sponsored team-building events.
• Paid and floating holidays, generous paid-time-off.
• Wellness and mental health initiatives, leadership training, and skill-building opportunities.