Data Scientist Intern
Posted on 2/3/2024
Chime

1,001-5,000 employees

Mobile banking & debit cards
Company Overview
Chime's mission is to make financial peace of mind a reality for everyone. The company has created "a new approach to online banking that doesn’t rely on fees, gets you your paycheck up to 2 days early with direct deposit, and helps you grow your savings automatically."
Fintech

Company Stage

Series G

Total Funding

$2.2B

Founded

2012

Headquarters

San Francisco, California

Growth & Insights
Headcount

6 month growth

5%

1 year growth

9%

2 year growth

18%
Locations
San Francisco, CA, USA
Experience Level
Intern
Desired Skills
Python
Data Science
Tensorflow
Keras
Pytorch
SQL
CategoriesNew
AI & Machine Learning
Data & Analytics
Requirements
  • Currently pursuing a Bachelor's or Master’s degree in Computer Science, Engineering, Mathematics, Statistics, or a related field
  • Proficient programming skills (Python preferred) for developing ML & feature engineering systems, and intermediate SQL skills for wrangling data from various sources
  • Coursework or hands-on experience in building advanced machine learning techniques, including GBM’s, deep learning models, embeddings, Graph Neural Networks (GNNs), transformers, etc
  • Proficiency in leveraging various ML/DL toolkits such as Keras, PyTorch, TensorFlow, Scikit-learn, SparkML, etc
  • Familiarity with cloud and infrastructure services is a plus
  • A strong passion for teamwork and effective communication with both technical and non-technical partners
Responsibilities
  • Assist in the design, training, and deployment of innovative ML models, enhancing the efficacy of Chime's mission-critical machine learning systems
  • Work on internal tooling and standards that reduce ML model development time and deliver an excellent Data Science (DS) experience
  • Learn about our SageMaker ML pipeline infrastructure for model training, evaluation, and deployment at scale
  • Develop ML techniques that drive broad impact across multiple models, improving overall efficiency and effectiveness
  • Work with cross-functional Subject Matter Experts (SMEs) to understand how ML is developed and utilized at scale within a corporation, encompassing compliance workflows, design considerations, and technical architecture
  • Actively engage with the data community at Chime by sharing knowledge and learning about ML and other technical standards and processes
  • Collaborate closely with data and platform engineers to design and build next-generation data/ML products, supporting Chime's data solutions at scale
Desired Qualifications
  • Familiarity with cloud and infrastructure services