Data Science Manager

Are you ready to build the future of our company?

About Mercury® Financial

Mercury® Financial is an innovative and growing financial services company with locations in both Austin, TX and Wilmington, DE. Our mission is to help customers build and maintain their financial future by offering them credit cards they can afford and understand. After only a few years, we’ve had great success building a significant credit card program, but we are aiming higher, which means we have lots of challenging problems for you to help us solve. Come onboard, work with some of the most talented individuals who thrive on collaboration and teamwork, and help us continue to build something special.

Location 

Mercury® Financial is headquartered in the progressive and entrepreneurial tech hub of Austin, Texas. Our physical location is situated in a beautiful park like setting called the Domain. The Domain's ideal location and exceptional amenities, amazing restaurant selection, convenient parking are all perfect for after work happy hours!

What it’s like to work here: 

We foster a collaborative and innovative culture where you will be empowered to do your best work. All of our employees bring everything they have to their job and are part of a larger team working towards a greater goal. We do right by our employees, our partners, and our customers.

Job Responsibilities 

• Lead a team of data scientists on solving science problems with a high degree of complexity and ambiguity. 

• Design a strategic vision and science roadmaps for scalable data-driven solutions that align with business objectives and drive organizational value.

• Lead development of machine learning and modeling techniques including deep learning, generative AI, reinforcement learning and causal inference methods to automate processes and drive business growth for Mercury Financial.

• Work with business subject-matter-experts (SMEs) to lead development of models that support customer experience driven products and services. 

• Formalize assumptions about how our systems should work, create statistical definitions of outliers, and develop methods to systematically identify outliers. Work out why such examples are outliers and define if any actions needed.

• Given anecdotes about anomalies or generate automatic scripts to define anomalies, deep dive to explain why they happen, and identify fixes. 

• Build decision-making models and propose effective solutions for the business problems you define.

• Conduct written and verbal presentations to share insights to audiences of varying levels of technical sophistication.

Basic Qualifications

• 5+ years of building quantitative solutions as a scientist or science manager
• 3+ years of direct people management 
• 5+ years of applying statistical models for large-scale application and building automated analytical systems
• Experience building machine learning models or developing algorithms for business applications
• MS in computer science, mathematics, statistics, machine learning or equivalent quantitative field

Preferred Qualifications

• Understanding of data warehousing and data modeling
• Experience in a least one area of Machine Learning (NLP, Regression, Classification, Clustering, or Anomaly Detection)
• Experience with fairness in machine learning and artificial intelligence to detect and remove bias in ML/AI systems
• Experience building complex software systems, especially involving deep learning and machine learning that have been successfully delivered to customers
• PhD in computer science, mathematics, statistics, machine learning or equivalent quantitative field

Why you’ll like working here:

This isn’t a place where you will fill a seat and keep your head down. This is a place where everybody is expected to help build something. This is a place where you can be involved and lead in your areas of expertise. So, how much do you believe in yourself? If you believe in your skills, in your drive and determination, we’ll give you the resources and room to show the world what you can do. Here are just a few of the benefits we offer:

• Employer insurance coverage for employee & dependents 
• Life insurance 
• 401K with generous employer match 
• Wellness program
• Monthly Company Events  
• Hybrid work model

Mercury® Financial is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, religion, color, national origin, sex, sexual orientation, gender identity, age, status as a protected veteran, among other things, or status as a qualified individual with disability.