Machine Learning and Data Science Researcher — Early Career
Job Description
Build predictive models and document their assumptions, tuning decisions and evaluation.
What you will do
• Assist with developing, training and assessing ML models for practical applications.
• Apply supervised and unsupervised methods.
• Improve performance through feature engineering and parameter tuning.
• Explain modeling assumptions, methods and technical choices.
Required background
• 1–3 years of professional data science, machine-learning or related experience.
• A master’s in computer science, statistics, mathematics, data science or a related quantitative field.
• At least one first-author publication or equivalent first-author work.
• Independent technical problem-solving.
Preferred background
• Teaching-assistant experience in ML, data science or applied statistics with substantial programming and empirical analysis.
Location and eligibility
• Remote work; country restrictions are not stated.
Availability
• Project-based, remote asynchronous work over roughly 2–3 weeks, with 10–20 hours per week for accepted assignments.
Pay and engagement
Per project; fee agreed before work
Payment is for the agreed project. The fee and acceptance requirements are confirmed before you begin.
Amounts are in USD. The applicable rate or fee and work requirements are agreed before you begin.