Associate Data Scientist

About Culture Amp

Culture Amp is a global leader in employee experience platforms, helping over 6,000 companies and 25 million employees enhance employee engagement, performance management, and team development. Trusted by innovative organizations like Canva, Asana, Dolby, and Nasdaq, Culture Amp leverages people science and extensive employee data to transform workplace culture. Headquartered with offices across the US, UK, Germany, and Australia, the company is recognized by Forbes and Fast Company as a top private cloud and innovative company.

Role Overview

We are seeking an Associate Data Scientist to join our team in Melbourne and contribute to developing cutting-edge AI-powered features within our product portfolio. This role entails collaborating on defining solutions, enhancing data quality, working with AI tools and platforms, and applying data science methodologies to support product design, experimentation, and performance evaluation to ensure measurable value for customers.

Responsibilities

• Collaborate with engineers and fellow data scientists to design, test, and launch AI-driven features.
• Address real-world challenges using a thoughtful, ethical, and human-centered approach.
• Create robust data pipelines along with large language model (LLM) based enrichment techniques and evaluation frameworks.
• Engage in interdisciplinary discussions, knowledge sharing with engineers, people scientists, and data scientists.
• Continuously monitor current research, literature, and available technological offerings to pragmatically meet customer needs.

Required Qualifications and Skills

• Proficiency in traditional data science techniques, statistical modeling, model training, and exploratory data analysis.
• Hands-on experience working with large language models, including evaluation metrics and agentic workflows.
• Strong SQL skills, ideally with enterprise-grade relational databases such as Redshift or PostgreSQL.
• Competency with Python programming and associated data science libraries (e.g., pandas, numpy).
• Understanding of statistical and machine learning models, including experimental design, hypothesis testing, and model validation.
• Experience utilizing data visualization tools like Plotly, Seaborn, or Streamlit.
• Familiarity with data modeling and workflow orchestration tools such as Metaflow or Airflow is a plus.
• Knowledge of software development best practices, including version control, continuous integration/deployment, and automated testing.
• Formal education in Data Science, Applied Machine Learning, Informatics, Mathematics, Statistics, Engineering, or Computer Science.

Personal Attributes

• Demonstrates curiosity and a commitment to continual learning.
• Employs pragmatic, critical thinking, asks insightful questions, and supports conclusions with data and logic.
• Communicates complex ideas clearly and effectively to diverse stakeholders.
• Passionate about leveraging data and AI to generate meaningful improvements in people's work lives.
• Shares our dedication to creating a better workplace environment.
• Open to learning through trial, error, and seeking assistance when necessary.

Work Arrangement

We value in-person connection and culture; therefore, Campers are expected to work from their local Culture Amp office approximately two days per week.

Benefits and Perks

• Participation in an Employee Share Option Program offering equity and long-term benefits.
• Access to learning initiatives and coaching to support personal and professional growth.
• Quarterly refresh days, an extended holiday break at year-end, and monthly wellness and lifestyle allowances.
• Inclusive parental leave from the first day of employment.
• A MacBook and budget for setting up an efficient home workspace to promote flexibility.
• Five annual social impact days to contribute to causes important to employees.
• Medical insurance coverage available for employees and their families in the US and UK.

Equal Opportunity and Accessibility

We encourage applicants from diverse backgrounds to apply even if they do not match every qualification exactly. Unique experiences are valued contributors to our inclusive workplace.

If you require accommodations to participate in the application or interview process, please contact us separately to request support while protecting your privacy.

Privacy

Your personal data will be retained for up to two years after the application process concludes (four years in the US). We may contact you about future roles during this period. Contact us if you have privacy concerns.