Przejdź do treści oferty
Data ScienceNOWE

Data Scientist

Kyotu Technology
Warszawa
100% zdalnie
Regular
min. 4 lata
Pełen etat
B2B
Dodane dzisiaj
Wynagrodzenie Jawne widełki
20 200–26 900PLN
netto / miesiąc·B2B
Pokaż szczegóły wynagrodzenia
Wynagrodzenie przeliczone z:
120 – 160 PLN/h
Duży ZUS:
Dziennie: ~670 – 916 PLN
Miesięcznie: ~14 077 – 19 229 PLN
Rocznie: ~168 922 – 230 743 PLN
Mały ZUS:
Dziennie: ~724 – 969 PLN
Miesięcznie: ~15 209 – 20 348 PLN
Rocznie: ~182 512 – 244 177 PLN
Zobacz w kalkulatorze wynagrodzeń
Oferta zweryfikowana · jawne widełki

01 Zakres zadań

We are building a talent pool of experienced Data Scientists who would like to collaborate with Kyotu Technology on upcoming projects.

Our work focuses on developing data-driven solutions across areas such as predictive analytics, machine learning, and data processing. We are looking for professionals who enjoy working with data end-to-end, from exploration and modeling to deployment and optimization.

Depending on the project, you may work on building ML models, analyzing complex datasets, or supporting product teams with data-driven insights. We value curiosity, strong analytical thinking, and a practical approach to problem-solving.

You will have the opportunity to join experienced teams working in Agile environments, where ownership, collaboration, and high-quality solutions are highly valued.

02 Wymagania

4 must-have · 1 nice-to-have · 2 języki

Must-have

Python
Zaawansowany
pandas
Zaawansowany
NumPy
Zaawansowany
PostgreSQL
Zaawansowany

Nice-to-have

Cloud
Mile widziane

Wymagane języki

Polski
Ekspert
Angielski
Zaawansowany

03 Profil kandydata

🚀 Must haves

  • minimum 5 years of experience in Data Science or related roles
  • strong proficiency in Python
  • experience with data analysis and data manipulation (e.g. Pandas, NumPy)
  • experience with machine learning frameworks (e.g. scikit-learn, TensorFlow, PyTorch)
  • experience in building and evaluating ML models
  • experience working with databases (e.g. PostgreSQL, BigQuery, Snowflake)
  • understanding of statistics and data modeling
  • experience in data visualization (e.g. Matplotlib, Seaborn, Plotly)
  • ability to translate business problems into data solutions
  • high level of independence and analytical thinking
  • good communication skills and team orientation
  • English at B2 level

✨ Nice to have

  • experience with MLOps tools and practices
  • experience with cloud platforms (e.g. AWS, Azure, GCP)
  • familiarity with data pipelines and ETL processes
  • experience with big data tools (e.g. Spark, Hadoop)
  • knowledge of NLP, computer vision, or recommendation systems
  • basic knowledge of software engineering practices

04 Benefity

Pakiet medyczny
Pakiet sportowy
Budżet szkoleniowy
Kawa / herbata
Zimne napoje
Parking

05 O firmie

Kyotu Technology
30 - 50 · Warszawa

Kyotu Technology is a boutique software house based in Wrocław and Warsaw, working fully remotely or in hybrid mode across Poland. We focus on long-term, high-quality engineering and building complex, production-grade systems with real business impact. Our teams have real influence on technical and architectural decisions.

06 Lokalizacja

Świętokrzyska 30/63, Warszawa
Tryb pracy:
Elastyczne godziny pracy
Godziny pracy biura: 7-20
Model pracy
Stacjonarnie
Hybrydowo
100% zdalnie