Data Scientist
2 months ago
Life at MX
We are driven by our moral imperative to advance mankind - and it all starts with our people, product and purpose. We always carry a deep sense of drive and passion with us. If you thrive in a challenging work environment, surrounded by incredible team members who will help you grow, MX is the right place for you.
Come build with us and be part of an award-winning company that’s helping create meaningful and lasting change in the financial industry.
Job Summary
Job Duties-
- 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
Work Environment
In this role, a significant aspect of the job involves working in the office for a standard 40-hour workweek. We believe that the collaborative nature of our work and the face-to-face interactions among team members are essential for fostering a dynamic and productive work environment. Being present in the office enables seamless communication, facilitates quick decision-making, and encourages spontaneous collaboration that contributes to the overall success of our projects. We value the synergy that comes from having our team members physically together, allowing for immediate problem-solving, idea exchange, and team building.
Compensation
The expected earnings for this role could be comprised of a base salary and other forms of cash compensation, such as bonus or commissions as applicable.
This pay range is just one component of MX's total rewards package. MX takes a number of factors into account when determining individual starting pay, including job and level they are hired into, location, skillset, peer compensation.
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