Data scientist

We're a company of people who like to forge our own path and leave the world better than we found it. As a Data Scientist you will be a key part of the Data, Analytics and AI team and will create advanced analytics, machine learning, and AI solutions to better address our consumers' needs while streamlining our processes and approaching the business in more innovative ways. Apply advanced analytics, machine learning, and AI techniques to derive business value from the full range of internal and external data sets, leveraging Cloud-based technology Translate complex data and methodology into strategic, operationally feasible insights and recommendations Identify trends and opportunities to drive innovation, both in what we do and how we do it Advanced Degree in Mathematics, Physics, Computer Science, Engineering, Statistics, or an equivalent discipline required Experience in developing models and algorithms in a commercial environment with a track record of creating meaningful business impact Strong SQL and Python skills required; G. clustering, regression, principal components and factor analysis, time-series forecasting, Bayesian methods) and machine learning (Random Forest, KNN, SVM, boosting and bagging, regularization etc.) Experience with cloud computing platforms (GCP, AWS or other) Desirable: Proficiency with data visualization tools (Looker, Streamlit, Tableau or similar) Experience with native ML orchestration systems such as Kubeflow, Vertex AI Pipelines, Airflow Proficiency with Spark Expertise in standard software engineering methodology, e.G. unit testing, test automation, continuous integration, continuous deployment, code reviews, design documentation Experience working in agile methodology The amount an employee will earn within the salary range will be based on factors such as relevant education, qualifications, performance, and our needs. Where roles are advertised across multiple locations, local ranges will apply. Full time / Part time Full time