Ask, refine, and answer critical business questions that bolster MX s capabilities and competitive position through the application of advanced analytic methods, logical inference, and creative problem solving
Build, enhance, and maintain predictive models and analytic strategies focused on consumer financial behavior
Contribute to, or lead, modeling projects, operational tests (e.g., A/B and multivariate), and data mining and exploratory work to produce actionable and novel insights and recommendations
Partner with stakeholder groups to understand market needs and drive data initiatives beyond our current product portfolio
Engage in independent research projects to uncover and understand new tools, methods, and approaches that can strengthen MX s data science platform
Create new data assets to support data science project work
Develop short presentations to communicate key messages and findings to colleagues and senior leaders
Job Requirements
Master s degree (Ph.D. preferred) in a quantitative discipline, with coursework in statistics, econometrics, or a related field
3+ years of advanced analytics experience focused on improving core business metrics (e.g., revenue, EBITDA, or net income); extra points for work focused on customer satisfaction and engagement and/or product quality
Eighteen months of practical experience building a variety of predictive/machine learning/statistical models and tools from complex, specialized, or large data pools; familiarity with the logic of credit scoring would also be helpful
Experience with one or more structured programming languages for statistical and/or numeric computing (e.g., Python, R, or Scala) and database query languages (e.g., SQL)
Demonstrated competence with (a) one or more of logistic regression, generalized linear models, or categorical data analysis and (b) multiple machine learning approaches (e.g., k-means clustering, SVM, random forest, or PCA)
Critical thinking skills, intellectual curiosity, and a willingness to keep looking for better solutions
Drive to tackle demanding goals with enthusiasm, tenacity in the face of stubborn obstacles, and interest in pursuing personal and technical development alongside other commitments
Commitment to client needs and satisfaction, humility in the face of constructive, well-meaning feedback, and production of high-quality work that builds trust and confidence with stakeholders
Ability to follow analytical frameworks and project plans to achieve shared goals