Data Scientist analyzing business problems and generating insights to improve results. Collaborating with Data Engineers to deploy models and communicate findings to stakeholders in a hybrid working environment.
Responsibilities
Understand business problems and structure analytical approaches to solve them
Generate proofs of concept from data that help deliver improved business results
Prepare and pre-process datasets needed to deliver analytical solutions
Generate distinctive risk insights that deliver improved business results
Build and implement predictive models and other analytical solutions using both structured and unstructured data
Ensure the alignment with technical best practices (modularity, version control, documentation)
Support junior team members and contribute to knowledge sharing
Collaborate with Data Engineers to deploy models into production environments and monitor models performance
Effectively communicate findings, implications, and performance of the models to business stakeholders
Requirements
University education (Master’s degree or higher)
At least 3 years of experience in data science or related fields
Strong proficiency in Python and data science packages, including writing modular and reusable code
Working proficiency with SQL and databases
Passion working with data and developing insights for use in business decisions
Strong problem-solving skills and analytical thinking
Experience with basic NLP concepts and large language models
Ability to work independently and manage your time effectively
Strong verbal and written communication skills, especially the ability to translate technical results for business audiences
English – B2 or better
Experience with Azure and Databricks is an advantage
Experience with other programming languages is an advantage
Benefits
Personal days off
Concentrated work week
Additional vacation
Home office
Extra days off at occasion of childbirth
Sabbatical leave
Life insurance from Zurich Austria
Compensation for salary loss during sick leave
3rd pension pillar contribution
Risk Life Insurance
Meal contribution on top of the legally required minimum
Knowledge Graph Engineer at Johnson & Johnson focusing on biomedical data standardization and interoperability solutions. Contributing to healthcare innovation through data - driven technologies and collaborations.
Data Scientist specializing in computer vision and multi - object tracking at STATSports. Leading development of tracking systems and collaborating with sports scientists and engineers.
Data Scientist developing and improving pricing and statistical models for Alandia's growing insurance business. Collaborating across teams with a clear ownership of analysis from idea to solution.
Manager leading data science and machine learning initiatives for healthcare payer clients. Focused on operational efficiency, mentoring teams, and actionable insights to reduce costs and improve health outcomes.
Senior Data Scientist at Michelin coding and deploying production - ready AI solutions. Developing reusable AI components with a focus on LLM frameworks and Azure Cloud.
Lead Data Scientist using advanced statistical techniques at Travelers to drive analytics and develop solutions. Collaborating with teams to enhance business intelligence through data insights.
Director, Head of Data leading vision and management of data strategy and environment at AAA Life. Collaborating across teams to build a high - performing data organization.
Senior Data Scientist developing valuation analytics for marketing strategies at PNC. Delivering analytical solutions for improving decision - making and optimizing marketing strategies.
Data Science Manager Senior overseeing analytics projects leveraging complex data for actionable insights at PNC. Leading teams to deliver data - driven business solutions.