Manager Data Science

Job Summary

As a Manager within the Data Science function youll lead a team of advanced analytics professionals as they leverage a worldclass financial data asset to (a) perform indepth consumerlevel 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 youll oversee the design and of operational tests and provide recommendations based on careful analysis solid business acumen and superior problemsolving 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 highvalue opportunities. Your track record of nurturing analytic talent combined with your strong analytic training superior ambiguity tolerance and handson approach to solving problems will mark you as an ideal candidate for this role.

Job Duties

• Build develop and manage a highperforming team of 38 data scientists and/or analysts through direct coaching and mentorship focused on analytical best practices data visualization storytelling and personal career development

• Provide handson 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 welldefined 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 longterm 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 MXs data science platform

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

Job Requirements

• Masters 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 handson 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. kmeans 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 wellmeaning feedback and production of highquality 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 companypaid meals onsite massage therapists sports simulator gym mothers 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