Associate Data Scientist

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 to tools like metaflow or airflow is desirable.
• Understanding of common software practices like version control, continuous deployment, and testing.
• Formal training in either Data Science, Applied Machine Learning, Informatics, Mathematics, Statistics, Engineering, or Computer Science.

You are: 

• Curious and have a learning mindset.
• A pragmatic, critical thinker, asking the right questions, and backing up assertions with logic and data.
• Able to make the complex simple, to persuasively communicate with a range of stakeholders.
• Excited about making data and AI products that have real impact in people’s lives.
• Someone who shares our passion for making a better world of work.
• Not afraid to learn through making mistakes and asking for help.