Applied Scientist: Dataset Discovery & Ranking

N-iX; Polska; Hybrid; PLN 180,000 - 290,000; Full time

Benefits offered by this job

Flexible format

Competitive salary

Career growth

Education reimbursement

Mentorship program

Tech talks

Team events

Job summary

N-iX is seeking a Middle Applied Scientist to join our team and elevate how customers discover, evaluate, and select content for AI training datasets. You will own scoped scientific projects from problem framing through recommendation, while helping shape methods and standards with senior data science colleagues.

You will partner with product and engineering to translate evaluation results into improvements to the Data Licensing platform.

Qualifications

• 4+ years of commercial experience in data science, applied science, ML, or a related field.
• Strong grounding in statistics, experimental design, and quantitative problem-solving.
• Experience evaluating search, recommendation, ranking, and similar ML systems.
• Experience taking experiments from problem framing and metric definition through analysis and recommendation.
• Proficiency in Python and SQL; experience working with large datasets.
• Practical experience with sampling, clustering, classification, optimisation, uncertainty estimation, or Bayesian methods.
• Experience using structured error analysis to identify opportunities to improve model or platform performance.
• Strong communication skills and experience working with product and engineering partners.
• Ability to innovate and identify new approaches to improve current practices.
• English level - upper-intermediate or higher
• Working experience with AWS and/or GCP

Responsibilities

• Partner with senior data scientists to improve dataset discovery, qualification, and selection by evaluating retrieval, classification, filtering, and ranking approaches.
• Develop evaluation and sampling methods to measure dataset relevance, coverage, diversity, and representativeness.
• Evaluate automated dataset-curation workflows and assess interpretation, selection quality, and failure modes.
• Design and analyze experiments using offline evaluation and product telemetry to improve curation quality, workflow performance, and customer experience.

Skills

Statistics

Experimental design

Machine learning

Cross-functional

Communication

English proficiency

Tools

Python

SQL

AWS

GCP

Job description

N-iX is seeking a Middle Applied Scientist to join our team and elevate how customers discover, evaluate, and select content for AI training datasets. You will own scoped scientific projects from problem framing through recommendation, while helping shape methods and standards with senior data science colleagues.

You will partner with product and engineering to translate evaluation results into improvements to the Data Licensing platform.