About this role
We’re big believers in the power of IRL, so for most roles we ask Campers to work from their local Culture Amp office an average of 2 days a week to unlock connection, pace and culture together.
Join us on our mission to make a better world of work.
Culture Amp is the world’s leading employee experience platform, revolutionizing how 25 million employees across more than 6,000 companies create a better world of work. Culture Amp empowers companies of all sizes and industries to transform employee engagement, drive performance management, and develop high-performing teams. Powered by people science and the most comprehensive employee dataset in the world, the most innovative companies including Canva, On, Asana, Dolby, McDonalds and Nasdaq depend on Culture Amp every day.
Culture Amp is backed by leading venture capital funds and has offices in the US, UK, Germany and Australia. Culture Amp has been recognized as one of the world’s top private cloud companies by Forbes and most innovative companies by Fast Company.
For more information visit cultureamp.com .
We are looking for an Associate Data Scientist who would like to be part of our journey to create differentiating AI powered features in our world leading product set. This means you will get involved in defining and designing solutions for the problems we need to solve, exploring and uplifting the data quality and enrichment, as well as working on our AI tools, platforms and products. You will leverage a data science approach to product design, experimentation, metrics definition, evaluation and monitoring to prove value for our customers.
Data Scientists at Culture Amp are specialists who work with others to bring their expertise and views to positively impact and support the delivery of value for our customers.
You will:
• Work with engineers and other data scientists to develop, test and deploy AI powered features.
• Solve real world challenges with an ethical and human centric approach.
• Develop robust data pipelines, LLM based enrichment processes, and evaluation systems.
• Participate in broader conversations and skills sharing with engineers, people scientists and data scientists.
• Stay up to date with current research, literature and provider offerings to enable the pragmatic application to Culture Amps customer needs.
You have:
• Experience with classical data science, statistics, model training, and data exploration.
• Experience working with LLMs, especially evaluation, metrics, and agentic workflows.
• Comfortable with SQL, preferably with an enterprise database system like Redshift, Postgres.
• Experience with data science tooling - Python and associated libraries (pandas, numpy etc)
• Understanding of statistical and machine learning models. Knowledge of experimental design, statistical testing and model validation.
• Experience in data visualization tools such as plotly, seaborn, streamlit.
• Understanding of data modelling and exposure