Senior Applied Scientist, Supply

The role

You will join the Supply team to drive participant supply, demand, and quality through optimization techniques and recommendation algorithms. You will design, validate, and scale algorithmic systems to optimize study matching and participant experience.

What you will do

• Design, validate, and scale high-impact algorithmic systems
• Optimize study matching and participant experience
• Lead complex technical directions
• Define the right problems to solve
• Drive both strategy and implementation
• Turn promising approaches into production-ready solutions
• Turn loosely defined product or customer problems into clear hypotheses, experiments, and metrics

Required qualifications

• Deep expertise in mathematical optimization and recommendation algorithms applied to large-scale matching or marketplace problems
• Judgement about when to reach for simple statistics, classical ML, LLMs, or agentic approaches
• 5+ years applying ML, AI research, optimization, or recommendation systems to complex production problems
• Python skills sufficient to build, test, and iterate on working prototypes independently
• Able to take a loosely defined product or customer problem and turn it into clear hypotheses, experiments, and metrics
• Comfortable working on ambiguous problems and suggesting solutions

Nice to have

• An MSc or PhD in Computer Science, Maths, Statistics, Economics, Psychology, ML, or a related field—or equivalent knowledge gained another way
• Experience working alongside product and engineering teams

Benefits

• competitive salary
• benefits
• remote working

About the company

Prolific has built a platform that connects researchers and companies with a global pool of participants to collect human behavioral data. The company provides human data infrastructure to assist in developing AI systems.