Zdunowo Mazowieckie
Wynagrodzenie: 15000 - 20000 PLN
Our Client is an innovative technology company specializing in providing advanced IT solutions for businesses worldwide. Our mission is to support businesses in their digital transformation by delivering reliable, scalable, and secure technologies.
Their main services include: software development, cloud computing, cybersecurity, Big Data and analytics, and Internet of Things (IoT).
Currently, we are looking for a talented *Data Scientist* for our Client who will join our team and help us analyze and interpret large datasets. The ideal candidate will have experience working with diverse data, creating predictive models, and providing analyses to support business decisions. If you have a passion for data and want to work in a dynamic and innovative environment, we invite you to apply.
Data Scientist
Requirements:
* Minimum 3 years of experience in a Data Scientist or similar position.
* Advanced knowledge of programming languages used in data analysis, such as Python, R, or Scala.
* Experience working with data analysis tools and libraries (e.g., Pandas, NumPy, Scikit-learn, TensorFlow, PyTorch).
* Familiarity with machine learning techniques and algorithms (supervised, unsupervised, reinforcement learning).
* Ability to work with SQL and NoSQL databases.
* Experience with data visualization tools (e.g., Matplotlib, Seaborn, Tableau, Power BI).
* Understanding of statistical principles and data analysis methods.
* Ability to communicate analysis results in a way that is understandable to non-technical individuals.
* Ability to work independently and solve problems.
Additional advantages:
* Experience working with cloud platforms (Azure, AWS, GCP).
* Knowledge of big data technologies (Hadoop, Spark).
* Certifications in the field of data analysis and machine learning.
* Experience working in an Agile/Scrum environment.
We offer:
* Attractive salary commensurate with experience.
* Opportunity to work in a dynamic, innovative environment.
* Access to the latest technologies and tools.
* Professional development program and training.
* Flexible working hours and possibility of remote work.
* Benefits package (medical care, sports card, life insurance).
Responsibilities:
* Analysis and interpretation of large datasets to identify trends, patterns, and dependencies.
* Creating, testing, and implementing predictive models and machine learning algorithms.
* Collaboration with development, product, and business teams to understand their analytical needs.
* Data processing and cleansing, preparing them for analysis.
* Visualization of analysis results and presenting them in a understandable way for stakeholders.
* Monitoring and maintaining deployed models and optimizing their performance.
* Tracking the latest trends and tools in the field of data analysis and machine learning..
