Senior Credit Risk Data Scientist

What’s Under the Hood

DriveTime Family of Brands includes in-house financing and servicing through Bridgecrest, which is one of the country’s leading financial servicing providers. Bridgecrest services roughly $17 billion in finance receivables for DriveTime and other third parties. We service auto loans across a wide credit spectrum with the intent of creating a strong path to vehicle ownership for our customers.

That’s Nice, But What’s the Job?

In short, as a Senior Credit Risk Data Scientist you will design, develop and implement analytical solutions to support multiple products, business units and verticals.

In long, the Senior Credit Risk Data Scientist is responsible for:

• Work with business partners to define objectives and build appropriate analytical solutions
• Partner with business customers to manage data for modeling and analytics
• Partner with Machine Learning Engineers in development and implementation of models
• Present results of analysis to leaders and colleagues
• Work with Jr Data Scientist(s) to develop and implement analytical solutions

So What Kind of Folks Are We Looking for?

• Excellent verbal and written communication skills. The ability to talk and write with confidence, charisma and competence for a wide variety of audiences including management.
• Organization and time management skills in spades.  You’ll be handling multiple projects and deadlines that will require you to prioritize then re-prioritize… then… re-prioritize again.
• Intellectual curiosity.  Why? What? How?  Do you find yourself always wanting to learn more and broaden your knowledge base?  If so, this could be the role for you.
• Agile in a fast-paced environment. We move, and we move quickly.  Thriving in an environment that never stops, is a must.
• Rebel with a cause.  You are always looking beyond the obvious for continuous improvement.

The Requirements.

• Bachelor’s Degree in Math, Statistics, Physics, Computer Science, or related discipline. Master’s degree preferred
• Credit/lending risk modeling experience required
• 3+ Years of Experience Working in a Data Scientist or Statistician Role
• Demonstrated expertise in Python
• Expertise leveraging MLOps methodology in Azure, AWS or GCP.  Cloud certifications is a plus
• Experience coaching Jr Data Scientists and leading complete data science projects end-to-end
• Expertise in RDBMS and Big Data environments such as Snowflake.
• Demonstrated experience in developing and deploying statistical learning/machine learning techniques with significant business outcomes
• Expertise with git/version control and build/release pipelines.

#Dice

So What About the Perks? Perks matter

• Medical, dental, and vision, oh my! DriveTime Family of Brands covers a sizable amount of insurance premiums to ensure our employees receive top-tier healthcare coverage. 
• But Wait, There’s More. 401(K), Company paid life insurance policy, short and long-term disability coverage to name a few.
• Growth Opportunities. You grow, I grow, we all grow!  But seriously, DriveTime Family of Brands is committed to providing its employees with every opportunity to grow professionally with roughly over 1,000 employees promoted year over year.
• Tuition Reimbursement. We’re as passionate about your professional development as you are. With that, we’ll put our money where our mouth is.
• Wellness Program. Health is wealth! This program includes self-guided coaching and journeys, cash incentives and discounts on your medical premiums through engaging in fun activities!
• Gratitude is Green.  We offer competitive pay across the organization, because, well… money matters!

• In-House Gym. We want our employees to be the best versions of themselves. So come early, take a break in your day or finish strong with a workout!
• Give Us a Reason (or not), and We’ll Celebrate.  Regardless of whether there is a holiday or not, we are finding ways to kick back and enjoy each other’s company outside of day-to-day work.
• Smart-Casual Dress. Come dressed in jeans (you’ll fit right in with the rest of us).

• Paid Time Off. Not just lip service: we work hard, to play hard!  Paid time off includes (for all full-time roles) wellness days,