Data Scientist
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
TL;DR
Data Scientist: Delivering end-to-end data-driven solutions with an accent on classical and non-linear machine learning techniques. Focus on translating complex data into actionable business insights through predictive modeling, feature engineering, and advanced visualization.
Location: Remote or hybrid in Poland (Warsaw, Bydgoszcz, Poznań, Łódź, Wrocław, Gdańsk)
Company
An AI-driven software house specializing in applied AI solutions, LLMs, and predictive analytics for global partners.
What you will do
- Manage the full data lifecycle from exploration and cleaning to modeling and insight generation.
- Develop and deploy predictive models using classical and non-linear ML techniques.
- Create impactful data visualizations and dashboards to support strategic business decisions.
- Collaborate with cross-functional teams including MLEs and software engineers.
- Translate complex data findings into simple, actionable recommendations for clients.
Requirements
- Minimum 4 years of professional experience in Data Science.
- Proficiency in Python and core libraries (NumPy, pandas, scikit-learn).
- Strong expertise in SQL for data management and analysis.
- Deep knowledge of classical ML (regression, time series) and non-linear methods (XGBoost, LightGBM, CatBoost).
- Strong communication skills with the ability to explain complex concepts simply.
- Must be based in Poland for remote or hybrid work.
Nice to have
- Experience in data engineering and cloud platforms (AWS, GCP, Azure).
- Knowledge of dashboarding tools like Tableau, Power BI, or Dash.
- Experience in NLP or leveraging LLMs and Generative AI.
Culture & Benefits
- Remote-first culture with flexible working hours.
- Access to a premium AI development suite including ChatGPT, Claude, and GitHub Copilot.
- Clear career paths with support for both technical and leadership growth.
- Private medical care and Multisport card.
- Dedicated training budget and internal knowledge-sharing sessions.
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