Senior Data Scientist

Jobgether • Denmark

Remote

This Job is No Longer Active This position is no longer accepting applications

AI Summary

Lead the evaluation, curation, and optimization of large-scale datasets used for AI model training. Design and apply statistical and machine learning techniques to filter, enrich, and assess data quality. Collaborate with model training teams to identify bottlenecks and optimize dataset performance.

Key Highlights

Lead dataset evaluation and optimization

Design and apply statistical and machine learning techniques

Collaborate with model training teams

Key Responsibilities

Lead the evaluation, curation, and optimization of large-scale datasets used for AI model training

Design and implement statistical and machine learning methods to ensure datasets are diverse, representative, and high-impact

Collaborate with research and engineering teams to define data quality standards, develop assessment frameworks, and create tools to automate preprocessing and validation

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Technical Skills Required

Machine learning Statistical analysis Data validation AI model training pipelines Data preprocessing and evaluation

Benefits & Perks

Competitive compensation package

Fully remote and flexible working arrangements

Opportunity to work on high-impact AI projects

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Nice to Have

Experience with synthetic data generation or augmentation

Open-source contributions

Publications in data-centric AI

Job Description

This role offers the opportunity to influence the quality and effectiveness of AI models by leading the evaluation, curation, and optimization of large-scale datasets. You will design and implement statistical and machine learning methods to ensure datasets are diverse, representative, and high-impact. Collaborating closely with research and engineering teams, you will define data quality standards, develop assessment frameworks, and create tools to automate preprocessing and validation. This position combines hands-on technical work with strategic guidance, allowing you to shape the future of AI model performance. Ideal candidates are independent problem-solvers with strong analytical skills, experience with unstructured datasets, and a passion for data-centric AI research. This is a fully remote role in a fast-paced, collaborative, and high-trust environment.

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