AI Data Scientist
VOLKSWAGEN FINANCIAL SERVICES POLSKA SPÓŁKA Z OGRANICZONĄ ODPOWIEDZIALNOŚCIĄ
⚲ Warszawa, Śródmieście
Do uzgodnienia
Wymagania
- Python
- AWS
- Data Science
- Machine Learning
- Data Modeling
- SQL
Opis stanowiska
Nasze wymagania:
Degree in Statistics, Mathematics, Computer Science, or a related field
1–2 years of experience as a Data Scientist
Strong Python skills and experience with libraries (pandas, numpy, scikit-learn)
Solid understanding of ML/AI methods (e.g., LLMs, GenAI, neural networks, regression, clustering)
Basic knowledge of SQL and data modeling
Familiarity with cloud platforms (AWS/Azure/GCP), Docker, Git, CI/CD is a plus
Understanding of GDPR, IT security, and AI ethics
Strong communication skills, team-oriented mindset, and proactive attitude
Fluent English, very good Polish language skills
Experience working in Agile/DevOps environments
O projekcie:
We are a 40-person AI Engineering team turning business ideas into scalable data and AI products. Our mission is to build advanced analytics, machine learning, and AI as core capabilities, delivering value across global markets. We work in an international, agile, interdisciplinary squads using cutting-edge cloud technologies to create real business impact.
Zakres obowiązków:
Develop and deploy models for regression, classification, and clustering
Design end-to-end solutions, including deep learning and reinforcement learning
Perform feature engineering and optimize model performance
Analyze and prepare data, ensuring high data quality
Apply advanced techniques (e.g., Monte Carlo simulations, SHAP) for model insights
Build scalable solutions in Python
Automate workflows in Linux environments (shell scripting, Git)
Design software using functional and object-oriented approaches
Work with SQL/NoSQL databases and optimize queries
Oferujemy:
Employment contract
Hybrid work model (3 days a week from the office) and a very good office location (Rondo ONZ 1)
Medical package (full specialist package with dentistry)
Health Academy
Multicafeteria - everyone will find something for themselves ☺
Lunch card
Life insurance
Employee Pension Program
Company products and services at a special price
Interesting trainings
Study funding
Degree in Statistics, Mathematics, Computer Science, or a related field
1–2 years of experience as a Data Scientist
Strong Python skills and experience with libraries (pandas, numpy, scikit-learn)
Solid understanding of ML/AI methods (e.g., LLMs, GenAI, neural networks, regression, clustering)
Basic knowledge of SQL and data modeling
Familiarity with cloud platforms (AWS/Azure/GCP), Docker, Git, CI/CD is a plus
Understanding of GDPR, IT security, and AI ethics
Strong communication skills, team-oriented mindset, and proactive attitude
Fluent English, very good Polish language skills
Experience working in Agile/DevOps environments
O projekcie:
We are a 40-person AI Engineering team turning business ideas into scalable data and AI products. Our mission is to build advanced analytics, machine learning, and AI as core capabilities, delivering value across global markets. We work in an international, agile, interdisciplinary squads using cutting-edge cloud technologies to create real business impact.
Zakres obowiązków:
Develop and deploy models for regression, classification, and clustering
Design end-to-end solutions, including deep learning and reinforcement learning
Perform feature engineering and optimize model performance
Analyze and prepare data, ensuring high data quality
Apply advanced techniques (e.g., Monte Carlo simulations, SHAP) for model insights
Build scalable solutions in Python
Automate workflows in Linux environments (shell scripting, Git)
Design software using functional and object-oriented approaches
Work with SQL/NoSQL databases and optimize queries
Oferujemy:
Employment contract
Hybrid work model (3 days a week from the office) and a very good office location (Rondo ONZ 1)
Medical package (full specialist package with dentistry)
Health Academy
Multicafeteria - everyone will find something for themselves ☺
Lunch card
Life insurance
Employee Pension Program
Company products and services at a special price
Interesting trainings
Study funding
🔍 Dekoder Ogłoszenia
🔴
1–2 years of experience as a Data Scientist
Może oznaczać zarówno pełny etat, jak i staż lub projekty akademickie, jeśli kandydat nie ma doświadczenia komercyjnego.
🔴
Familiarity with cloud platforms (AWS/Azure/GCP), Docker, Git, CI/CD is a plus
Choć zaznaczone jako 'plus', w praktyce może być to oczekiwane minimum, a brak tych umiejętności może stanowić znaczną przeszkodę.
🔴
Understanding of GDPR, IT security, and AI ethics
Może być to powierzchowne zrozumienie lub faktyczna wiedza i doświadczenie w stosowaniu tych zasad w praktyce.
🟡
Develop and deploy models for regression, classification, and clustering
Zakres może być ograniczony do podstawowych modeli, a niekoniecznie do zaawansowanych, innowacyjnych rozwiązań.
🔴
Design end-to-end solutions, including deep learning and reinforcement learning
Choć wymienione są zaawansowane techniki, faktyczne wykorzystanie może być minimalne lub ograniczone do jednego projektu.