Top Data Science Jobs in Warsaw

Lead independent product analytics investigations across acquisition, activation, usage, customer experience, and the broader customer journey. Apply statistical analysis, causal inference, experimentation, and data science modeling to uncover product issues, opportunities, churn drivers, and growth insights. Analyze structured, unstructured, and AI-specific data; size opportunities; measure engineering productivity; and translate findings into actionable recommendations for Product, Engineering, Growth, commercial teams, and executives.

Leads JetBrains Air’s data science, analytics, and data engineering functions. Builds and develops multidisciplinary teams, establishes scalable data foundations and metric frameworks, drives experimentation, and delivers insights for product, marketing, acquisition, retention, and monetization. Partners with engineering and leadership on data strategy, infrastructure, machine learning capabilities, privacy, security, and responsible data use.

Develop GreyNoise’s cybersecurity channel business across Europe by recruiting and activating partners, building joint business plans, enabling partner teams, generating qualified pipeline, and co-selling enterprise and government opportunities. The role manages partner relationships, channel strategy, revenue targets, forecasting, commercial negotiations, partner reviews, technical enablement, demand generation, and cybersecurity event representation.

Own the Mapping & Content product domain end to end, including strategy, prioritization, economics, and outcomes. Lead efforts to match hotel rooms and content across suppliers, languages, and formats with high accuracy and coverage. Partner closely with engineering and data science teams on entity resolution, search, matching, catalog, identity, recommendation, and content-quality problems. Identify high-value failures, make trade-offs between precision and coverage, and help build Nuitee’s product organization in a fast-moving environment.

Manage Independent Data Monitoring Committee and endpoint adjudication projects for clinical trials. Responsibilities include planning schedules and budgets, coordinating innovation, data science, and technology teams, monitoring risks and progress, communicating with stakeholders, and supporting emerging technology integration. The role requires strong project management, organization, communication, and cross-functional collaboration skills, with endpoint adjudication experience preferred.

Leads a team of data scientists and engineers building scalable data platforms, pipelines, and machine learning products for real-time price optimization. Responsibilities include architecture, distributed batch and streaming workflows, data quality, testing, observability, model research, sprint planning, code reviews, hands-on development, recruitment, mentorship, and performance management.

Develop and deploy scalable, production-grade machine learning and AI solutions for financial research. Build LLM- and NLP-based applications, apply modern deep learning architectures, and collaborate with senior engineers on reliable AI products. Responsibilities include software development with Python, database integration, containerization with Docker, and potentially developing RAG pipelines, vector database solutions, and fine-tuned LLMs.

Lead GTM strategy and product positioning for key products, create messaging and content, run campaigns and launches, analyze market and competitive trends, and collaborate cross-functionally to drive adoption, pipeline growth, and customer engagement.

The Head of Compliance and Quality Governance will lead strategy, management, and operational execution of compliance within a biotech environment, ensuring adherence to regulations and promoting operational excellence.

The Lead Golang Software Engineer develops server solutions, leads technical designs and code reviews, mentors colleagues, and ensures the quality of engineering practices in the Commercial Systems unit.

Oversee product strategy and development in EdTech and AI, manage teams, and drive data-informed decisions aligned with business goals.

Data Scientists at QuantCo will analyze data, build machine learning models, and communicate results to stakeholders, aiming for impactful solutions.

As a Data Science Intern, you'll identify frameworks for data-driven business challenges, transform datasets, run analyses, build machine learning models, and communicate results.