Data Scientist at Sonova

Sonova; Warszawa; On-site; PLN 180,000 - 240,000; Full time

Benefits offered by this job

Flexible hybrid working model

Training opportunities and development

Growth opportunities with individual发展

Job summary

Sonova in Warsaw, Poland is seeking a Data Scientist to join on-site. The role drives data science and ML initiatives across Operations and CX, turning complex datasets into actionable insights to inform strategic decisions and improve efficiency.

You will design, develop, and deploy advanced data science and GenAI solutions, collaborate with global teams, and establish robust monitoring, experimentation, and governance practices to deliver measurable business impact.

Qualifications

• 5+ years of experience applying data science, ML, and predictive analytics to solve business problems.
• Proven experience delivering end-to-end data science projects from data prep through deployment.
• Strong knowledge of statistics, ML, experimentation, and model evaluation.

Responsibilities

• Conceptualize, develop, deploy, and drive adoption of data science, ML, and GenAI solutions with measurable business impact.
• Apply statistical and ML methods to diverse datasets to derive actionable insights.
• Translate business requirements into technical solutions and communicate findings clearly to stakeholders.
• Collaborate with analysts, engineers, and platform teams to ensure project delivery.
• Design AI-augmented workflows and establish best practices for AI-generated output.

Skills

Python

SQL

Databricks

PySpark

ML/AI

MLOps

English (Fluent)

Tools

Git

LLMs

Prompt engineering

Embeddings

Job description

Apply for Data Scientist at Sonova in Warszawa, MZ, PL. This Full time on site position offers great opportunities for career growth. Data and AI are increasingly central to Sonova's ability to deliver better outcomes for customers and improve operational efficiency. The Data Scientist drives this agenda by turning complex, diverse datasets into actionable insights that support strategic decision-making across Operations and Customer Experience (CX). Building on Sonova's global strategy, this role designs, develops, and deploys advanced data science and machine learning solutions and increasingly generative AI and agentic workflows in close collaboration with global data and digital teams, IT, and business stakeholders across Operations. Solutions are built to be secure, scalable, and aligned with business priorities.

More about the role :

• 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 that inform business decisions
• Translate business requirements into technical solutions and communicate quantitative findings clearly to both technical and non-technical stakeholders
• Collaborate effectively with analysts, engineers and platform teams to ensure successful project delivery
• 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 the performance of solutions and models
• Define standards and processes for efficient data science development and drive continuous improvement

More about you :

• 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, and modern data science toolsets, including 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 with the ability to translate complex analyses into business insights.
• Experience using Git and collaborative development practices.
• Ability to work independently and effectively manage multiple priorities in a fast-paced environment.
• Fluent in English

More about what we offer :

• As one of the world’s leading hearing care providers headquartered in Switzerland, we’re committed to building an inclusive culture.
• We want to create an environment where you can balance a successful career with your commitments and interests outside of work, through our flexible hybrid working model.
• We offer a wide range of training opportunities for both your professional and personal development, and there are exceptional growth opportunities with individual development plans.

Sonova is an equal opportunity employer.

We team up.

We grow talent.

We collaborate with people of diverse backgrounds to win with the best team in the market place.

We guarantee every person equal treatment in regard to employment and opportunity for employment, regardless of a candidate's ethnic or national origin, religion, sexual orientation or marital status, gender, genetic identity, age, disability or any other legally protected status.