Data Scientist

  • Aspiration
  • Los Angeles, California
  • Jul 28, 2020

Job Description

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.

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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