Data Scientist Lead

  • 3401 North Thanksgiving Way, Lehi, UT 84043, USA
  • Full-time

Company Description

MX builds innovative digital money management tools that enable our clients to be advocates for their users by making managing money less of a chore. We help end users identify extraneous spend, opportunities for savings, and help eliminate predatory financial practices.

MX has partnered with over 40 partners and over 1800 clients to deliver on our mission of empowering the world to be financially strong. We have over 20 million users on our platform that can benefit from our product suite to manage their finances better at each stage of their life’s journey.

Job Description

As a Data Science Lead, you have the opportunity to analyze and extract insights to help strategize and optimize our roadmap to ensure its aligned with our mission and vision. You will perform in depth analysis, design tests and provide recommendation & insights base on data-driven analysis. The ideal candidate will be a hands-on individual with strong analytical background and proven quantitative skills at generating meaningful insight into user behavior. He/she should be comfortable working collaboratively and eager to be a strategic partner in analytics assignments.

 

Your Responsibilities Will Include:

  • Uncovering complex issues, understand budgeting challenges, design scientific analytical process, improve functional efficiency of our product suite

  • Quantifying data models, data strategy, and analytics roadmaps

  • Performing data analytics and statistical & mathematical modeling

  • Data exploration, design of experiments (A/B and multivariate tests) and hypothesis validation to deliver meaningful insights and recommendations to the product team

  • Engage in independent research and experimentation of new methodologies to discover new insights, improvements, and/or problems.

  • Deliver findings and interpretation of results to Product Management team through data visualization, presentation, and training sessions

  • Guide and educate Data Scientists and Product Data Analysts on best analytical practices during projects

  • Grow an Analytics team within the MX Data Enhancement organization

Qualifications

  • MS or PhD in Statistics, Mathematics, Engineering, Econometrics or Psychology
  • 5+ years experience utilizing quantitative research and analytics to drive significant business impact with some experience in increasing customer satisfaction, engagement, and product quality

  • Solid understanding experimentation, predictive analytics, and machine learning

  • Good algorithmic thinking, strong interpersonal skills

  • The ability to translate strategic mission objectives to an analytical framework and action items

  • Proficiency working with statistical tools (such as R, SAS), database query languages (SQL), and at least one scripting language (such as Python)

Additional Information

All your information will be kept confidential according to EEO guidelines.

Videos To Watch