Aspiration is in the business of fighting the climate crisis. We help people and businesses build sustainable impact into what they do every day by making it easy, automated, and powerful -- whether it is in the ways people spend and save their money or the ways businesses engage their customers and employees. The estimated cumulative climate impact of the Aspiration community thus far is the equivalent of taking every car in the state of Wyoming off the road for a year. Aspiration is a certified B Corporation and, in fact, has been named to the “Best for the World” list of the top five percent of highest scored certified B Corporations four years in a row. Aspiration has raised over $250M 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.

What You'll Do

• Develop machine learning models, explore new prediction algorithms, construct new features, and research new technologies
• Creatively leverage new and existing data to increase the effectiveness and efficiency of our decision-making infrastructure
• Work with engineers to design machine learning solutions that operate quickly and effectively at scale
• Apply good software development practices and actively contribute to production code where practical
• Help build the next generation of data products at Aspiration

What You'll Bring

• Bachelor’s degree in Data Science, Computer Science, Statistics, Mathematics, Physics, Engineering or a quantitative discipline
• Masters/PhD degree in Data Science, Computer Science, Statistics, Mathematics, Physics, Engineering or a quantitative discipline preferred
• 4+ years of experience in a Data Science role
• Strong practical knowledge of XGBoost and/or other supervised machine learning techniques
• Proficient in Python specifically for Data Science: Pandas, SciKit Learn, NumPy, etc
• Proficient in SQL and able to wrangle data from many disparate data sources, including JSON, XML, etc
• Experience with R and other Data Science tools is a plus
• Experience with GitHub is a plus
• Experience with business intelligence tools, such as Looker, Tableau, etc is a plus
• Experience with deploying Data Science models into production environments
• Ability to work well in a collaborative team environment, and an eagerness to share skills, and develop best practices
• Prior experience in FinTech is a plus

What You'll Get

• Work for a mission-driven company to transform the lives of millions by building a better, values-oriented financial firm
• Competitive Salary and Equity Incentives
• Robust Healthcare Plans (medical, dental, vision)
• 401K & Unlimited Vacation Time
• Diverse & Inclusive Culture

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