Data Science & Machine Learning Intern

Job Description

Responsibilities:

• Perform analysis tasks to identify anomalies and their root cause as well as propose and put in place validations to programmatically identify such conditions
• Propose methods to normalize the data, implement them, check accuracy, and iterate until sufficient accuracy is achieved
• Increase the accuracy of derived datasets and data products

Qualifications:

• Education:
  • PhD/MSc preferred. BSc with high GPA, multiple majors, or notable projects is also accepted
  • Field: Data Science, AI/ML, Statistics, Physics, Mathematics, or Computer Science
• Technical:
  • Graph algorithms and network analysis
  • Large-scale data analysis
  • Data quality and anomaly detection
  • Agentic/AI-assisted software development
  • Familiarity with distributed data platforms such as Snowflake or Databricks
  • Strong Python and SQL
  • Applied statistics and probability
  • Machine learning fundamentals
  • Experiment design and causal reasoning
  • Optimization/decision-making under uncertainty
  • Ability to write clean, maintainable analytical code
  • Non-agentic development experience is mandatory
• Modeling/Research:
  • Comfortable evaluating models beyond headline metrics
  • Experience moving from research idea → prototype → validated result
• Ability to translate ambiguous problems into mathematical or statistical formulations
• Strong intuition for uncertainty, bias, variance, and noisy data
• Strong quantitative reasoning and mathematical knowledge
• Problem Solving:
  • Ability to recognize when results look wrong
  • Comfortable working with incomplete, messy, or contradictory data
• Advanced analytical problem-solving ability
• Strong debugging and root-cause analysis skills
• Ability to form and test hypotheses quickly
• Personal Attributes:
  • High intellectual curiosity
  • Strong ownership and initiative
  • Rapid learner
  • Independent thinker
  • Comfortable challenging assumptions
  • Willingness to continue digging into 'funny' things until they make sense
  • Effective communication skills and team player

What We Offer:

• Paid internship ($30/hr) with flexible scheduling
• Remote-first work culture and support
• Mentorship from experienced engineers and product experts