MX - Data Scientist - Python/R (5-7 yrs)

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 :

As a Data Scientist, you will have the opportunity to analyze and extract insights from a world-class financial data asset. You'll perform in-depth, consumer-level analytics, lead big data research and discovery projects, increase overall system accuracy, and automate important (but repetitive) tasks.

In addition, you'll design and execute operational tests and provide recommendations based on careful analysis, solid business acumen, and superior problem-solving skills.

The ability to turn complicated analytic results into digestible and engaging stories will be important for success, as will superior ambiguity tolerance.

Your strong analytic training and background, desire to create new and unique perspectives about consumer financial behavior, collaborative spirit, and hands-on approach to solving problems will mark you as an ideal candidate for this role.

Job Duties :

- 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 :

- Overall 5yrs of experience as Data scientist and Experience in advanced analytics & 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