Senior Data Scientist - Remote

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 Purpose

The data science team at MX is focused on solving the company's most computationally and analytically complex problems using statistical and machine learning methods. The work is challenging, engaging, and directly influences MX's portfolio of products and services. If you're passionate about asking good questions and applying modern data science tools in a fast-paced, intellectually engaging environment, you'll enjoy working at MX as a Senior Data Scientist.

As a Senior 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.

As part of MX's thriving analytic organization, you'll enjoy autonomy and the ability to make a real difference in a successful and high-growth company. As you collaborate with other creative and enthusiastic team members you'll be rewarded and recognized for your high-caliber work. MX's values are central to the company's success, and you'll live by questioning assumptions and taking initiative, advancing our data-driven approach to solving problems, and showing empathy and a commitment to radical honesty in equal measure.

What you'll get to do

• 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
• Lead modelling projects, operational tests (e.g., A/B and multivariate), and data mining and exploratory work to produce actionable and novel insights and recommendations
• Work closely with external partners and internal stakeholder groups to understand long-term 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 presentations and memoranda to communicate key messages and findings to colleagues and senior leaders
• Coach and mentor data analysts on analytical best practices and data visualization

You'll do it using your

• Master's degree (Ph.D. preferred) in a quantitative discipline, including significant coursework in statistics, econometrics, or a related field (or equivalent experience)
• 7 years of advanced analytics experience focused on improving core business metrics (e.g., revenue, EBITDA, or net income); extra points for work focused on credit risk modelling, customer satisfaction and engagement, and/or product development
• 5 years of practical experience building a variety of predictive/machine learning/statistical models and tools from complex, specialized, or large data pools
• Strong knowledge of 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); exposure to modern data science environments (e.g., cloud, Jupyter, and git) would also be helpful
• Expertise 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 feedback, and production of high-quality work that builds trust and confidence with stakeholders
• Ability to translate strategic mission objectives into an analytical framework, project plan, and action items

You'll fit in by

• Collaborating with members of the Sales/Partnerships, Marketing, and Operations teams
• Embracing the challenge of creating something from nothing and living your passion for mathematical problem solving
• Being resourceful, creative, and tenacious
• Communicating with skilled candor and respect

You'll love it because

• The data science team is dedicated to solving important and high-impact questions unconstrained by assumptions or approach
• You will have the opportunity to work in a successful, fast moving, mission-driven company
• You will access growth opportunities and collaborate with highly motivated, intellectually curious, and genuinely nice colleagues
• You will be rewarded and recognized for your high-caliber work
• You will enjoy autonomy

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Videos to watch:

• MX Mission and Vision
• MX Effect
• People, Product, Purpose