or apply directly on Prolific 's site. We never take the application ourselves.
Is this posting real?
- This role has been open
- 80 days Prolific 's roles stay open a median of 81 days
- Reposted
- Yes taken down and listed again at least once
- Salary listed
- No 14% of Prolific 's roles list one
- Ghost-job risk at Prolific
- high 27 stale, 2 reposted of 29 open
- Hiring momentum
- 46 roles opened in the last 90 days ↑ up vs. the prior 90 days
- Last confirmed on the employer's board
- 2026-10-23
Measured from postings appearing on and disappearing from Prolific 's own greenhouse board since 2026-08-03. Full hiring picture for Prolific .
About this role
As a Senior Applied Scientist at Prolific, you will work on the Supply team to enhance the participant marketplace by applying advanced optimization techniques and recommendation algorithms. Your role involves leading the design and implementation of algorithmic systems that improve study matching and participant experiences, while collaborating with specialists in the field. You will also be responsible for transforming loosely defined problems into actionable hypotheses and metrics, ensuring practical solutions are developed for production use.
- benefits
- 2/5
- freshness
- 1/5
- career value
- 4/5
- role clarity
- 4/5
- pay transparency
- 0/5
Scored from the posting itself — how clearly the role is described, how much it says about pay and benefits, and how recently it was listed. Not a judgement of Prolific as an employer.
What you need
- 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
- Ability 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 rather than waiting to be told exactly what to do
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
What you get
- Competitive salary
- Benefits
- Remote working
- Impactful, mission-driven culture
Worth weighing
- No specific salary listed
- Role combines data science, ML, and statistics but is not purely research-focused
- Candidates are encouraged to apply even if they don't meet every requirement
- The role requires comfort with ambiguity and proactive problem-solving
Summarised from Prolific 's posting. Read the full original.
Listed by Prolific on their greenhouse job board, last confirmed open on 2026-10-23. PitchMeAI is not the employer.
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