17 Data Scientist jobs in Poland available for remote work from home. Apply for positions such as Data Scientist, Data Scientist, Data Scientist and more! Discover the best work-from-home or hybrid, full- and part-time jobs.
Trusted by 200,000+ remote workers worldwide.
You will be responsible for designing and validating evaluation metrics for AI models, including LLM-as-a-judge frameworks. Additionally, you will analyze model performance, identify errors, and optimize evaluation methodologies for complex AI systems.
Design, train, and optimize machine learning and deep learning models for advertising and ranking systems. Collaborate with engineering and business teams to translate objectives into effective ML solutions while mentoring other data scientists.
The role involves working on AI and Machine Learning projects hosted in the Azure cloud, solving advanced ML challenges like forecasting and segmentation, and building solutions based on Large Language Models (LLMs). Responsibilities also include leading projects technically, preparing documentation, conducting training, and collaborating with clients to translate requirements into technical solutions.
Build and implement new Machine Learning models for recommendation engines and explore advanced neural network architectures in NLP and CV. Deploy models to large-scale infrastructure while optimizing performance and mapping model metrics to business KPIs.
The role involves managing biomarker data pipelines, maintaining R packages, and ensuring data quality through rigorous validation and version control. Additionally, the scientist will support project tracking and develop AI-assisted coding standards to enhance team workflows.
We watch for new "Data Scientist" jobs and email you the matches. Free. Unsubscribe in one click.
You will drive product and business impact by improving search engine ranking, precision, and relevance. This involves developing new lexical-matching signals and investigating LLMs for feature generation while maintaining high quantitative rigor.
Lead and define the data science strategy for product development while serving as a strategic advisor to senior leadership. Drive the integration of emerging AI technologies and mentor team members to foster a culture of technical excellence.
Lead and define the data science strategy for product development while serving as a strategic advisor to senior leadership. Drive the integration of emerging AI technologies and mentor other data scientists to foster a culture of technical excellence.
You will own the measurement framework and experimentation strategy for product pods to drive data-informed decision-making. This involves conducting deep-dive analyses, building scalable datasets, and translating complex insights into actionable product recommendations.
You will own end-to-end data science and BI projects, from problem definition and experimentation to model deployment and monitoring. You will also build predictive models and machine learning solutions to support business decision-making and operational efficiency.
You will prototype, evaluate, and maintain machine learning models for fraud detection while designing experiments to measure the impact of interventions. Additionally, you will collaborate with cross-functional teams to translate model outputs into real-world mitigations and build anomaly detection systems.
Design and execute data science experiments to develop and maintain state-of-the-art machine learning models for tabular and time-series data. Perform deep-dive data analysis to provide actionable business insights and collaborate with cross-functional teams to align projects with company goals.
Design, develop, and scale AI/ML solutions with a focus on Generative AI, including RAG-based systems and conversational bots. Collaborate with cross-functional teams to translate business needs into production-ready AI tools that enhance customer experience and operational efficiency.
Own the evaluation loop for all AI products, including pre-launch quality gates and post-launch monitoring. Build quality dashboards and translate failure patterns from production traffic into actionable product fixes.
Design and develop custom machine learning models for production to drive business decisions in fraud detection and customer engagement. Lead the statistical design of A/B tests and collaborate with MLOps to deploy and maintain real-time models.
The role involves participating in real-world AI/ML projects, gaining hands-on exposure to major cloud platforms like Azure, AWS, and GCP, and collaborating closely with team members to deliver high-quality results.
We watch for new "Data Scientist" jobs and email you the matches. Free. Unsubscribe in one click.
Stop the endless job search. Our AI finds and applies to the best jobs for you.
Everything you need to know about remote work
