Data Scientist

September 13, 2026

Hybrid

Senior

Warsaw, Poland

Important before applying

This job has conditions that may affect your decision to apply

English is required

Description

As a Data Scientist at Sonova Group, you will develop and deploy advanced data science and machine learning solutions, including generative AI and agentic workflows. You will work on turning complex datasets into actionable insights for strategic decision-making across Operations and Customer Experience. The role involves close collaboration with global data and digital teams, IT, and business stakeholders.

Responsibilities

Conceptualize, develop, deploy and drive adoption of data science, ML and GenAI solutions.
Apply statistical and ML methods to analyze diverse datasets.
Translate business requirements into technical solutions.
Collaborate with analysts, engineers and platform teams.
Design and implement AI-augmented development workflows.
Articulate hypotheses, design and execute experiments and A/B tests.
Develop monitoring KPIs to track performance.
Define standards and processes for efficient data science development.

Requirements

5+ years of experience in data science, machine learning, and predictive analytics.
Proven experience delivering end-to-end data science projects.
Strong knowledge of statistics, machine learning, experimentation, and model evaluation.
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 with structured, semi-structured, and unstructured data sources.
Familiarity with MLOps practices, model governance, cloud platforms, and production deployment.
Strong stakeholder management, communication, and presentation skills.
Experience using Git and collaborative development practices.
Ability to work independently and manage multiple priorities.
Fluent in English.

Conditions

Flexible hybrid working model.
Wide range of training opportunities for professional and personal development.
Exceptional growth opportunities with individual development plans.
Equal opportunity employer with inclusive culture.

PythonSQLDatabricksPySparkhealthcare

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