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எஸ்

Associate Data Scientist

Sapphire Partners

Melbourne, Victoria, Australia முழு நேரம்

முதல் ஆளாக விண்ணப்பிக்கவும்

அனுபவம்
ஏதேனும்
சம்பளம்
காலியிடங்கள்
1
பதிவுசெய்யப்பட்டது
2 மணி நேரம் முன்
வேலை முறை
அலுவலகத்தில்
கல்வி
Degree in Data Science, Applied Machine Learning, Informatics, Mathematics, Statistics, Engineering, Computer Science or related field
சுயவிவரம்
விண்ணப்பிக்க வேண்டும்

நீங்கள் பணிபுரியும் இடம்

பணி விளக்கம்

About the Role

Join Culture Amp, a global leader in employee experience platforms, on a mission to enhance workplace culture and performance through AI-driven products. Based in Melbourne and committed to a hybrid work culture with onsite presence about two days per week, Culture Amp supports over 6,000 companies, including notable innovators worldwide.

As an Associate Data Scientist, you will engage deeply in crafting AI-enabled features, ensuring data quality, and contributing to next-generation product development through scientific approaches to design, experimentation, and performance measurement.

Key Responsibilities

  • Collaborate with engineering and data science teams to build, test, and implement AI-powered capabilities.
  • Address practical challenges using an ethical, human-focused lens.
  • Create and maintain robust data pipelines and enhancement workflows based on large language models, alongside evaluation mechanisms.
  • Engage in knowledge exchange with engineers, people scientists, and fellow data scientists to elevate skills and solutions.
  • Stay informed on the latest research and industry tools to apply best practices effectively in meeting customer needs.

Qualifications and Skills

  • Proficiency in classical data science methods including statistics, model development, and data analysis.
  • Hands-on experience with large language models (LLMs), focusing on evaluation metrics and agentic process flows.
  • Strong command of SQL, preferably with enterprise databases such as Redshift or Postgres.
  • Expertise in Python and relevant libraries like pandas and numpy for data science tasks.
  • Knowledge of statistical and machine learning frameworks, including expertise in experimental design, hypothesis testing, and model assessment.
  • Ability to create insightful data visualizations using tools like plotly, seaborn, and streamlit.
  • Familiarity with data modeling and orchestration platforms such as Metaflow or Airflow is advantageous.
  • Understanding of software engineering practices including version control, continuous integration, and testing methodologies.
  • Formal education in Data Science, Machine Learning, Informatics, Mathematics, Statistics, Engineering, Computer Science, or related disciplines.

Who You Are

  • A curious professional committed to continuous learning.
  • A pragmatic and analytical thinker who bases conclusions on solid data and logic.
  • An effective communicator who simplifies complexity and influences diverse stakeholders.
  • Passionate about building impactful AI-driven data products that enhance people’s work experience.
  • Dedicated to contributing toward a better workplace culture.
  • Willing to embrace learning opportunities through experimentation and collaboration.

Perks and Benefits

  • Employee Share Option Program offering equity and long-term growth opportunities.
  • Access to development programs and personalized coaching for career advancement.
  • Additional leave benefits including quarterly refresh days, an extended year-end break, and a monthly wellbeing allowance.
  • Inclusive parental leave available from day one.
  • Provision of a MacBook and budget to create an ideal home office setup.
  • Five annual social impact days dedicated to charitable engagement.
  • Health insurance coverage available for US and UK employees.

Additional Information

Culture Amp encourages candidates from diverse and underrepresented backgrounds to apply—even if not all qualifications are met. The organization fosters an inclusive environment and supports reasonable accommodations throughout the recruitment process.

Applicants may contact accommodations@cultureamp.com for assistance related to disabilities without disclosing health information. Personal data is retained for two years following the application process (four years for US applicants) and may be used for future hiring opportunities in accordance with the company’s privacy policies.

பதில் வேண்டுமென்றால் இதை அப்படியே விட்டுவிடுங்கள் — நாங்கள் இதை வேறு எதற்கும் பயன்படுத்த மாட்டோம்.

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