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 Quant and ML science capabilities.  As an applied Quant Scientist you’ll work in a team alongside People Scientists, Data Engineers, and Product Managers to embed recommendations, forecasting, statistical analysis and machine learning into products that transform the world of work.  Our scientists work across the product development pipeline from initial inception of an idea, motivating and proving its worth to delivering and maintaining the solution in product.  

As a valued members of the team, you will:

• Deliver impactful data insights, uncover trends and make recommendations to our customers about their employee experience via our platform. 
• Work with data engineers and other scientists to develop, test and deploy Quant and ML powered features.
• Solve real world challenges with an ethical and human centric approach
• Develop robust data and machine learning pipelines
• 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
• Solve real world challenges with an ethics and human centric approach
• Focus on applications of Natural Language Processing as well as Generative AI

You have 

• Curiosity and a learning mindset
• Industry, or equivalent academic, experience in researching and developing ML/AI models
• Direct trend analysis, forecasting and recommendation experience
• Comfortable with SQL, preferably with a big data system like Athena, Presto Redshift, SparkSQL, or BigQuery
• Experience in Python data science space - pandas, numpy, sklearn, scipy etc.
• Strong experimental design, statistical testing skills
• Good understanding of machine learning models, and model validation.
• Understanding of  data modelling and exposure to tools like metaflow or airflow is desirable.
• Bonus if you are comfortable with common software practices like version control, continuous deployment, and testing.

You are 

• A pragmatic, critical thinker, asking 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 ML 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.

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.