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5 часов назад

Associate Data Scientist (AI)

Формат работы
hybrid
Тип работы
fulltime
Грейд
junior
Английский
b2
Страна
UK/US/Australia +1 еще
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

Текст:
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TL;DR
Associate Data Scientist (AI): Developing AI-powered features for an employee experience platform with an accent on data quality, LLM-based enrichment, experimentation, and evaluation systems. Focus on building robust data pipelines, validating machine learning models, and measuring product value through metrics and monitoring.

Location: Sydney, Australia; hybrid work with an average of 2 days per week from the local hirify.global office.

Company

hirify.global develops an employee experience platform used by more than 6,000 companies to improve employee engagement, performance management, and team development.

What you will do

  • Develop, test, and deploy AI-powered features with engineers and other data scientists.
  • Define and design data-driven solutions for customer and product challenges.
  • Build robust data pipelines, LLM-based enrichment processes, and evaluation systems.
  • Apply experimentation, metrics definition, evaluation, and monitoring to demonstrate product value.
  • Collaborate with engineers, people scientists, and data scientists through knowledge sharing and broader technical discussions.
  • Track current research, literature, and provider offerings to support pragmatic product applications.

Requirements

  • Experience with classical data science, statistics, model training, and data exploration.
  • Experience working with LLMs, including evaluation, metrics, and agentic workflows.
  • Comfort with SQL and enterprise databases such as Redshift or Postgres.
  • Proficiency in Python and data science libraries including pandas and numpy.
  • Understanding of machine learning models, experimental design, statistical testing, and model validation.
  • Formal training in data science, applied machine learning, informatics, mathematics, statistics, engineering, or computer science.

Nice to have

  • Experience with data visualization tools such as plotly, seaborn, or streamlit.
  • Exposure to data modelling and tools such as metaflow or airflow.
  • Understanding of version control, continuous deployment, and software testing practices.

Culture & Benefits

  • Equity through the Employee Share Option Program.
  • Learning programs and coaching.
  • Quarterly refresh days, an extended end-of-year break, and a monthly wellbeing and lifestyle allowance.
  • Inclusive parental leave from day one.
  • MacBook and home workspace setup budget.
  • Five annual social impact days and medical insurance coverage for employees and families in the US and UK.

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