Data Scientist II- Hybrid (AZ)
DriveTimeAbout the role
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?
This is not a position for which sponsorship will be provided. Individuals with temporary visas or who need sponsorship now or in the future are not eligible for hire at this time.In short, as a Data Scientist II you will design, develop and implement analytical solutions to support multiple products, business units and verticals.
In long, the Data Scientist II 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 preferred
- 2+ 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, holidays, and good ole' fashio
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