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10 часов назад

Data Scientist (AI)

Формат работы
remote (Spain)
Тип работы
fulltime
Грейд
middle/senior
Английский
b2
Страна
UK/Spain
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

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TL;DR

Data Scientist (AI): Developing next-generation AI solutions for a programmatic research platform with an accent on synthetic data generation, LLMs, and data augmentation. Focus on researching and validating sophisticated machine learning models to bridge the gap between traditional research data and synthetic intelligence.

Location: Remote (UK-based office in London)

Company

hirify.global is a global pioneer in research technology (ResTech) that operates the world's largest programmatic marketplace for survey data.

What you will do

  • Research and develop machine learning models for synthetic row generation and open-ended text generation.
  • Execute statistical experiments to validate LLM performance and synthetic modeling hypotheses.
  • Collaborate with Engineering to integrate dynamic boosting models into hirify.global Exchange workflows.
  • Design sophisticated profiling taxonomies using large-scale datasets.
  • Create prototypes and communicate complex Generative AI concepts to technical and non-technical stakeholders.

Requirements

  • 2-4 years of experience in a Data Science capacity delivering end-to-end solutions.
  • Master's degree in Statistics, Data Science, or a related quantitative field.
  • Deep understanding of Generative AI and LLMs for text generation and data synthesis.
  • Advanced proficiency in Python and SQL with experience in large-scale databases.
  • Strong knowledge of statistical techniques including hypothesis testing and causal inference.

Nice to have

  • Experience with Synthetic Data Generation techniques.
  • Familiarity with Prompt Engineering, RAG, or fine-tuning open-source LLMs.
  • Experience with Databricks, Spark, or PySpark.
  • Background in online market research or survey platforms.

Culture & Benefits

  • Global platform with a collaborative, innovation-driven culture.
  • Commitment to diversity, equity, and inclusion.
  • Recognized as a Newsweek Global Top 100 Most Loved Workplace.
  • Focus on accountability, transparency, and employee growth.

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