Data Scientist

Applicants must have current authorization to work in the United States on a full-time basis.

The Data Scientist is responsible for the collection, management, and analysis of internal data to support modeling and collections strategies across all revenue channels. The Data Scientist is also responsible for the score-based valuation of existing collections portfolios at all levels of aggregation and/or the development of credit scores to support valuation and collections activities; collaborates with group analysts as they specify and validate collections strategies, maintain collections forecasts, and revise and improve our predictive models. This position works with partners in Marketing, Acquisitions, and Operations to aid in the development and implementation of score-based and logic-based collections practices. This role is equally comfortable discussing the academic merits of a statistical and advanced machine learning approaches or the ways in which a forecasting model will impact a business channel's revenue and cost expectations

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.  

MINIMUM REQUIREMENTS

EDUCATION:  Bachelor's                

FIELD OF STUDY:  Statistics, Engineering, or qualitative science

EXPERIENCE:  2+ years of Data Scientist or related experience

KNOWLEDGE, SKILLS, ABILITIES, AND OTHER ATTRIBUTES:

• Intermediate to Advanced Proficiency in MS Office and other systems
• Extensive understanding of relevant knowledge
• Intermediate to Advanced Proficiency of the following:
• Proficiency with base SAS and Python or R
• Expertise with formal statistical methodologies
• Strong knowledge of some or all the following:
  • Logit models
  • Generalized linear models.
  • Categorical data analyses
  • ANOVA and regression
  • ML packages, cloud computing
  • Proficiency with MS Office, particularly Excel.

PREFERRED QUALIFICATIONS

EDUCATION:  Master's or Advanced                        

FIELD OF STUDY:  Statistics, Engineering or a quantitative science

EXPERIENCE:  Additional experience that would help; quantify where possible

KNOWLEDGE, SKILLS, ABILITIES, AND OTHER ATTRIBUTES:

• Intermediate to Advanced Proficiency in MS Office and other systems
• Extensive understanding of relevant knowledge
• Intermediate to Advanced Proficiency
• Proficiency with base Python or R
• Expertise with formal statistical methodologies
• Strong knowledge of some or all the following:
  • Logit models
  • Generalized linear models.
  • Categorical data analyses
  • ANOVA and regression
  • ML packages, cloud computing
  • Proficiency with MS Office, particularly Excel.

#LI-KL1

Starting Compensation

Annual Salary: $82,500.00 - $107,199.00 (Amount based on office location, relevant experience, skills, and competencies)

If you are wondering why you should work for us, here is something to help you decide:

• Pay and Bonuses: Earn a competitive salary. All employees are eligible for monthly incentives or annual bonus.

• Career Progression: Grow at MCM with paid training and development programs – including our very own MCM Academy – as well as a promote-from-within philosophy.

• Reward and Recognition: We are committed to honoring great results – ranging from informal accolades to formal company-wide awards and prizes like all-inclusive vacations.

• Tuition Assistance: Pursue a degree or coursework related to your current role, or the role you are striving for.

• Healthcare Insurance: Take advantage of comprehensive healthcare plans and options to ensure your continued health, plus fitness membership reimbursements, weight watchers, our wellness rewards Program and more.

• Volunteering Opportunities: Enjoy up to eight hours of paid time off each year to volunteer. We also offer volunteer grants and matching financial donations, up to US$ 2,500 per employee annu