About
Sonova is a hearing care provider that develops solutions to improve customer outcomes and operational efficiency.
Responsibilities
•Conceptualize, develop, deploy, and drive adoption of data science, ML, and GenAI solutions that deliver measurable business impact across Operations and CX
•Apply statistical and ML methods to analyze diverse datasets, including data exploration and feature engineering, to derive insights for business decisions
•Translate business requirements into technical solutions and communicate quantitative findings to technical and non-technical stakeholders
•Collaborate with analysts, engineers, and platform teams to deliver projects
•Design and implement AI-augmented development workflows using agentic coding tools and LLM-based code generation; establish best practices for reviewing and validating AI-generated output
•Articulate hypotheses, design and execute experiments and A/B tests, and evaluate and optimize algorithms
•Develop monitoring KPIs to track solution and model performance
•Define standards and processes for efficient data science development and drive continuous improvement
Requirements
•5+ years of experience applying data science, machine learning, and predictive analytics techniques to solve business problems
•Proven experience delivering end-to-end data science projects, from data preparation and feature engineering through deployment and monitoring
•Strong knowledge of statistics, machine learning, experimentation, and model evaluation techniques
•Hands-on experience with generative AI technologies, including LLMs, embeddings, prompt engineering, and RAG architectures
•Proficiency in Python, SQL, Databricks, and PySpark
•Experience working with structured, semi-structured, and unstructured data sources
•Familiarity with MLOps practices, model governance, cloud platforms, and production deployment of analytical solutions
•Strong stakeholder management, communication, and presentation skills; ability to translate complex analyses into business insights
•Experience using Git and collaborative development practices
•Ability to work independently and manage multiple priorities in a fast-paced environment
•Fluent in English
Conditions
•Flexible hybrid working model
•Wide range of training opportunities for professional and personal development
•Individual development plans and exceptional growth opportunities
