Recommendations Data Scientist – Machine Learning in Charlotte, North Carolina
THE TEAM YOU WILL BE JOINING:
Dynamic and creative company located in Charlotte, NC, and Headquartered in San Francisco
Dedicated to making financial progress possible for everyone.
National presence providing excellent service to over 60 million members.
Vibrant work environment with a culture founded on collaboration and good energy.
WHAT THEY OFFER YOU:
Fun and optimistic atmosphere, combining all the perks of a tech company with a healthy work-life balance.
Tons of opportunities to take on responsibility and ownership and have a meaningful impact.
You are encouraged to identify opportunities to scale the product, technology, and organization, and then launch them into action.
Having a healthy and happy team is their number one priority- family focused organization.
Free amenities, paid company trips and outings, competitive salary, and generous benefits.
You’ll get to solve highly analytical problems and have a direct impact on the bottom line
The role is highly cross-functional, which means you get to work with engineering, business development, product, and data science
The impact of your work will be highly visible, with the executive team as key stakeholders
Your work will help us design better products, improve user experience, and inform overall business strategy
Learn how an industry disrupter in fintech leverages Machine Learning at scale to make billions of predictions each day, with the ability to build your own models to help push the business forward
WHY THIS ROLE IS IMPORTANT:
We’re looking for a Senior Recommendation System Analyst to drive the growth and optimization of financial product recommendations across our client’s platform. If you love tackling complex, large-scale analytics challenges, this role could be for you.
Optimize the performance of the product recommendation engine from a holistic level - rather than by vertical or by placement
Support cross-functional business partners by figuring out how the recommendation system can be used to meet business objectives
Predict revenue impact from changes in pricing, underwriting, approval models, and user behavior
Work closely with engineering and data science teams to improve the technology and models that drive recommendations
Provide feedback to the product and design teams on how changes in the product impact our recommendations and give guidance on how to improve that experience
Develop hypotheses and run experiments around what recommendations drive better outcomes for our members
Support ongoing analysis and monitoring of revenue funnels across the platform
Overseeing A/B experiment setup, execution and reporting across use cases
THE BACKGROUND THAT FITS:
4+ years of analytics experience and BS/MS in Math, Statistics, Economics, Engineering, Data Science, Marketing, or Finance
2+ years of experience with SQL
2+ years of experience with A/B testing and/or statistical analysis
2+ years of experience with data visualization tools such as Looker/Tableau for insight synthesis and presentation
Fintech, financial services, consulting or a similar strategic or analytical experience
Exposure to Python and/or R
Foundational understanding of machine learning principals