Data Scientist
RaiseMe San Francisco, CA, USA Competitive Long term Any
About RaiseMe

At RaiseMe, we're focused on ensuring that all students have the opportunity to achieve their college and career ambitions. We're looking for passionate, high-achievers who want to build a company that will help millions of students. If that's you, join our team!

Job Description

What would you do?

  • Build awesome data products (e.g. recommendation systems, predictive models, and more!) that reinvent how students access aid for education.
  • Explore, analyze, and visualize our unique database to provide insights to our team, partners, and the media.
  • Develop and maintain ETL pipelines.
  • Help recruit and build out the data science team over time.

What will success look like?

  • You've created innovative products and features that have helped millions of students achieve their college and career ambitions.
  • You've played an instrumental role in building and scaling a world-class data science team.
  • You’ve learned a ton, met amazing people, developed your skills, and had a life-shaping experience.


This job is for you if you're:

  • Mission-Driven: You want to use your talents to make the world a better place and you're in a rush to do it.
  • Collaborative: You're a team player and open-minded when it comes to exploring new ideas with teammates to achieve shared goals.
  • A Talented Communicator: You enjoy distilling the most complex machine-learning algorithms to its most basic idea.

What skills will you need?

  • Ability to produce production-ready data products like recommendation systems and predictive models using Python or R (we use Python, including NumPy, pandas, SciPy, Matplotlib, Scikit-learn).
  • Strong background in statistics and machine learning: an intuition for how to choose a model and tune parameters in supervised learning problems; creative approaches to handling missing data and generating new features; ability to distinguish the signal from the noise; understands how to objectively evaluate models.
  • Experience writing efficient ETL pipelines and SQL queries (e.g. joins, subqueries, and debugging running queries; we use Postgres).
  • Experience with analyzing and visualizing complex, multi-dimensional data for data scientists and software engineers.
  • Nice-To-Haves: Unix, Git, AWS (S3, EC2, Redshift, RDS), MongoDB, Golang, Hadoop/Spark, Scala/Java, Ruby on Rails.

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