Data Scientist
⚲ Poznań, Jeżyce
Do uzgodnienia
Wymagania
- Python
- SQL
- Apache Spark
- Microsoft Azure
- Databricks
- Microsoft Fabric
- Microsoft Power BI
- GitHub
- Azure DevOps
- Docker
Opis stanowiska
Nasze wymagania:
🔹 2-3 years of hands-on experience as a Data Scientist or related field.
🔹Proficiency in Python/SQL/PySpark with experience in DS frameworks such as pandas, numpy, scikit-learn, scipy, and xgboost.
🔹Familiarity with ML concepts including tree-based models, time-series, gradient boosting, feature engineering, hyperparameter tunning, and model interpretability.
🔹Experience with cloud platforms (preferably Azure) and Databricks / MS Fabric.
🔹Eager to explore new technologies and stay up to date with modern data solutions.
Mile widziane:
⭐ Familiarity with LLM-based applications, including RAG, vector databases, embeddings, and frameworks like LangChain or LlamaIndex and having experience with one of the LLM API provider.
⭐ Strong foundation in probability, statistics and Bayesian methods.
⭐ Data visualization skills using Power BI.
⭐ Prior experience working in FMCG or business areas such as Supply Chain, Marketing, RGM, Sales & Operation Planning, and HR.
⭐ Knowledge of MLOps practices, including CI/CD for ML, model monitoring, and governance using tools like GitHub/Azure DevOps, Docker, and MLflow.
⭐ Expierience with presenting project process and results to non-technical people
Zakres obowiązków:
#DataScience #WeAreHiring #Antdata
Antdata is looking for a Data Scientist!
We are a data analytics company delivering advanced solutions that help organizations make better, data-driven decisions. By combining analytics, machine learning, and modern cloud technologies, we transform data into actionable insights and business value.
Do you enjoy working with data, building machine learning models, uncovering patterns, and solving complex business problems?
If so, we have a role where your work will help organizations leverage data science, artificial intelligence, and advanced analytics to optimize processes, improve forecasting, and drive smarter decision-making.
What You will Do:
✔ Design, develop, and deploy end-to-end Data Science solutions, individually or collaboratively, for clients across various industries.
✔ Validate, preprocess, and transform data to extract meaningful insights, enhance data quality, and build efficient, reliable ML models using Python/Spark/SQL
✔ Deploy and operationalize ML models in cloud environments, implementing robust monitoring, error handling, and CI/CD pipelines for seamless integration.
✔ Collaborate cross-functionally with data engineers, BI developers, data analysts, and business stakeholders to define project goals, data strategies, and technical solutions.
✔ Develop LLM-based applications (Chatbots, AI Agents) to facilitate faster information retrieval from structured and unstructured internal and external data.
Oferujemy:
✔️ Long-term, stable contract.
✔️ Opportunities to strengthen your skills, broaden your experience, and work in a learning-focused environment that supports continuous improvement.
✔️ Comprehensive benefits package.
✔️ Remote-first work environment with hybrid options available.
🔹 2-3 years of hands-on experience as a Data Scientist or related field.
🔹Proficiency in Python/SQL/PySpark with experience in DS frameworks such as pandas, numpy, scikit-learn, scipy, and xgboost.
🔹Familiarity with ML concepts including tree-based models, time-series, gradient boosting, feature engineering, hyperparameter tunning, and model interpretability.
🔹Experience with cloud platforms (preferably Azure) and Databricks / MS Fabric.
🔹Eager to explore new technologies and stay up to date with modern data solutions.
Mile widziane:
⭐ Familiarity with LLM-based applications, including RAG, vector databases, embeddings, and frameworks like LangChain or LlamaIndex and having experience with one of the LLM API provider.
⭐ Strong foundation in probability, statistics and Bayesian methods.
⭐ Data visualization skills using Power BI.
⭐ Prior experience working in FMCG or business areas such as Supply Chain, Marketing, RGM, Sales & Operation Planning, and HR.
⭐ Knowledge of MLOps practices, including CI/CD for ML, model monitoring, and governance using tools like GitHub/Azure DevOps, Docker, and MLflow.
⭐ Expierience with presenting project process and results to non-technical people
Zakres obowiązków:
#DataScience #WeAreHiring #Antdata
Antdata is looking for a Data Scientist!
We are a data analytics company delivering advanced solutions that help organizations make better, data-driven decisions. By combining analytics, machine learning, and modern cloud technologies, we transform data into actionable insights and business value.
Do you enjoy working with data, building machine learning models, uncovering patterns, and solving complex business problems?
If so, we have a role where your work will help organizations leverage data science, artificial intelligence, and advanced analytics to optimize processes, improve forecasting, and drive smarter decision-making.
What You will Do:
✔ Design, develop, and deploy end-to-end Data Science solutions, individually or collaboratively, for clients across various industries.
✔ Validate, preprocess, and transform data to extract meaningful insights, enhance data quality, and build efficient, reliable ML models using Python/Spark/SQL
✔ Deploy and operationalize ML models in cloud environments, implementing robust monitoring, error handling, and CI/CD pipelines for seamless integration.
✔ Collaborate cross-functionally with data engineers, BI developers, data analysts, and business stakeholders to define project goals, data strategies, and technical solutions.
✔ Develop LLM-based applications (Chatbots, AI Agents) to facilitate faster information retrieval from structured and unstructured internal and external data.
Oferujemy:
✔️ Long-term, stable contract.
✔️ Opportunities to strengthen your skills, broaden your experience, and work in a learning-focused environment that supports continuous improvement.
✔️ Comprehensive benefits package.
✔️ Remote-first work environment with hybrid options available.
🔍 Dekoder Ogłoszenia
🔴
2-3 years of hands-on experience as a Data Scientist or related field.
Może oznaczać zarówno 2 lata doświadczenia jako Data Scientist, jak i 3 lata w pokrewnym obszarze, co może być mniej specjalistyczne.
🔴
Eager to explore new technologies and stay up to date with modern data solutions.
Może oznaczać, że będziesz musiał samodzielnie uczyć się i wdrażać nowe technologie bez dedykowanego wsparcia lub budżetu.
🔴
Familiarity with LLM-based applications, including RAG, vector databases, embeddings, and frameworks like LangChain or LlamaIndex and having experience with one of the LLM API provider.
Chociaż wymienione są konkretne technologie, 'familiarity' może oznaczać jedynie podstawową wiedzę, a nie głębokie, praktyczne doświadczenie.
🔴
Expierience with presenting project process and results to non-technical people
Może oznaczać, że będziesz musiał poświęcać dużo czasu na tłumaczenie złożonych zagadnień technicznych, co może być czasochłonne i frustrujące.
🔴
Prior experience working in FMCG or business areas such as Supply Chain, Marketing, RGM, Sales & Operation Planning, and HR.
Chociaż wymienione są konkretne branże i obszary, 'prior experience' może oznaczać, że doświadczenie w tych obszarach jest kluczowe, a nie tylko mile widziane.