Join us on our mission to make a better world of work. 

Culture Amp revolutionizes how over 25 million employees across 6,000 companies create a better world of work. As the global platform leader for employee experience, Culture Amp empowers companies of all sizes and industries to transform employee engagement, develop high performing teams, and retain talent via cutting-edge research, powerful technology, and the largest employee dataset in the world. The most innovative companies across the globe, such as Salesforce, PwC, KIND, SoulCycle, Celonis and BigCommerce depend on Culture Amp every day.

Culture Amp is backed by 10 years of innovation, leading capital venture funds, and offices in the U.S, U.K, Germany and Australia. Culture Amp is recognized as one of the world’s top private cloud companies by Forbes and one of the most innovative workplace companies by Fast Company.

Learn more about how Culture Amp can help you create a better world of work at cultureamp.com.

At Culture Amp we’re rapidly growing our data science capabilities.  As a Senior Data Scientist you’ll work in a research team alongside People Scientists and other Data scientists to learn from our customer data how we can transform the world of work. You will work across the research process - crafting key questions for study, identifying the right types of analyses, completing those analyses, and supporting the development of the resulting narrative 

As a valued member of the research team, you will:

• Work closely with people scientists and other data scientists to analyze patterns in workplace data across customers and external data

• Perform exploratory and longitudinal analysis on employee survey data spanning the whole lifecycle, uncovering useful insights about employee culture, workplace challenges and successes
• Lead research projects, mentoring other data scientists

You have 

• Strong understanding of statistical models, experimental design, statistical testing and machine learning model validation. 
• Advanced SQL for descriptive analytics, preferably with a big data system like Athena, Redshift or equivalent.
• Good knowledge in Python in the data science space - Pandas, Numpy, Statsmodel, Sklearn, Scipy. Also experience with machine learning libraries like Tensorflow, Keras, Transformers, Bert, LLM Google Vertex. 
• Knowledge of some visualization techniques like Google sheet graphs, pivot tables,, Seaborn, Plotly, Looker, Tableau/powerBI

You are 

• Passionate about exploring and making data insights. 
• Someone who shares our passion for making a better world of work.
• Resilient. Data research projects are highly iterative and sometimes hit dead-ends. The right person for this role is quick to bounce back and flexible. 
• Proactive: Takes initiative to stay up to date on new methodologies and techniques. Brings ideas for how to analyze the data based on the research question.

Thank you for taking the time to read this advert. If you decide to apply, as part of your application, we will ask you to complete voluntary diversity questions (excluding Germany). Please watch this video from our amazing DEI Leader, Aubrey Blanche to share more on why we collect the data and how we will use it.