Manager, Data Science Job in Mx Technologies, Inc.

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 Manager within the Data Science function, you ll lead a team of advanced analytics professionals as they leverage a world-class financial data asset to (a) perform in-depth, consumer-level analytics, (b) lead big data research and discovery projects, (c) increase overall system accuracy, (d) design and execute operational tests, and (e) automate important (but repetitive) tasks. In addition, you ll oversee the design and execution of operational tests and provide recommendations based on careful analysis, solid business acumen, and superior problem-solving skills. The ability to inspire, develop, and manage staff is essential, as are solid project management skills. You should enjoy turning data and analytic results into digestible and engaging stories as well as working closely with colleagues to identify high-value opportunities. Your track record of nurturing analytic talent, combined with your strong analytic training, superior ambiguity tolerance, and hands-on approach to solving problems, will mark you as an ideal candidate for this role.

Job Duties

• Build, develop, and manage a high-performing team of 3-8 data scientists and/or analysts through direct coaching and mentorship focused on analytical best practices, data visualization, storytelling, and personal career development

• Provide hands-on guidance as your team builds, enhances, and maintains predictive models focused on data recognition and categorization, credit risk and fraud detection, consumer financial behavior, and feature enhancement

• Lead modelling projects, operational tests (e.g., A/B and multivariate), data mining and exploratory work, and the creation of new data assets

• Translate unstructured business problems into well-defined and tractable analytic/modelling projects

• Provide analytic leadership within the MX community to include (a) statistical and machine learning expertise, (b) project leadership, (c) identifying new opportunities to improve revenue and cost performance through the application of advanced analytic methods, and (d) guiding teammates to reach further and achieve more through the thoughtful application of quantitative tools and reasoning

• Work closely with partners and stakeholder groups to understand long-term market needs and drive data initiatives beyond our current product portfolio

• Oversee research projects designed to uncover and understand new tools, methods, and approaches that can strengthen MX s data science platform

• Develop presentations and memoranda to communicate key messages and findings to colleagues and senior leaders

Job Requirements

• Master s degree (Ph.D. preferred) in a quantitative discipline, including significant coursework in statistics, econometrics, or a related field (or equivalent experience); prior exposure to behavioral economics or consumer psychology would be helpful

• Practitioner/manager background likely to include (a) 4+ years of hands-on experience building predictive models and (b) 2+ years of experience managing analytic teams as they work to improve core business metrics (e.g., revenue, EBITDA, or net income) preferred; extra points for experience with consumer credit risk, customer satisfaction and engagement, and/or product development

• 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 beneficial

• 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, well-meaning 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

At MX, we seek to hire candidates who drive results and achieve successful outcomes. We utilize a hybrid work arrangement style, which may require both local and remote team members to be in the office when necessary, to kick off projects, hold cross team strategy meetings, or complete key deliverables. Remote team members will travel into the office four times per year, and MX covers travel expenses associated with this requirement. Both local and remote employees can take advantage of our incredible office space with onsite perks, company-paid meals, onsite massage therapists, sports simulator, gym, mother s lounge, and meditation room.

MX is proudly committed to recruiting and retaining a diverse and inclusive workforce. As an Equal Opportunity Employer, we never discriminate based on race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, military or veteran status, status as an individual with a disability, or other applicable legally protected characteristics. We particularly welcome applications from veterans and military spouses. All your information will be kept confidential according to EEO guidelines. You may request reasonable accommodations by sending an email to hr@mx.com.