Aspiration is the first VC-backed neobank on a mission to be the leading consumer financial services brand and company focused on sustainability and the environment. At Aspiration, we created the category of sustainable, socially responsible retail consumer finance. We offer unique financial products to let people save, spend, and invest their money in ways that make them more financially secure and align with their personal values. Unlike other financial institutions, Aspiration is committed to building a relationship with our customers based on trust and aligning the customer’s success with our own. Aspiration has raised over $200M in funding to date, and is growing quickly.
Action: We take initiative. We are doers, not bystanders.
Boldness: We don’t tinker, we transform.
Customer-Centered: Our customers are at the core of our business. Delivering for them is our North Star.
Diligence & Dedication: We do what we say we’re going to do, when we say we’re going to do it.
Entrepreneurial: Act like an entrepreneur not an employee, generate results for the company and customers everyday.
Aspiration is looking for a Data Scientist to help design and develop machine learning models to drive our business forward. This role will play a pivotal role in implementing machine learning models across our products as well as, running high business impacting analytics that will help us provide the best possible experience for our customers.
We are looking for smart and highly motivated individuals of our Data Engineering team to contribute towards the success of Aspiration goals - to bring fair financial products to masses. This is a hands-on technical role and will be responsible for building scalable solutions as it relates to data architecture strategies, data standards, and data integration tools.