Data Scientist - Kraków, Polska - Technipfmc

Opis

Technologies-expected : SQL R Python about-project : The data science purpose involves several key responsibilities: data wrangling and integration, insight discovery, data presentation, model development, and collaboration with development teams.

Data scientists gather and clean diverse datasets, discover valuable business insights, and communicate findings in an understandable way.

Create and refine models to solve complex problems and work closely with development teams to deliver effective digital solutions.

Additional aspects include data visualization, machine learning and AI, data ethics and privacy, and the need for continuous learning to stay up-to-date with the latest trends.

Data science aims to transform data into actionable insights to drive innovation and improve business performance.

responsibilities :
Identifies and assesses data source relevance (internal and external) in collaboration with subject matter experts and IDS stakeholders.

Develops innovative solutions to DSI analytics challenges, leveraging data mining, feature engineering, scenario modeling, advanced algorithms, machine learning, experimental design, and hypothesis testing.

Collaborates with the development team to integrate pertinent analytics and data into digital services effectively.

Proposes enhancements to digital service business metrics, promoting data-driven decision-making.

Structures and presents data insights in a readily understandable manner for external stakeholders.

Conducts training and education on data science techniques for key stakeholders, fostering a deeper understanding and application.

requirements-expected : Bachelor's degree required, Master's or Ph D preferred in Data Science, Computer.

Science, Computer Engineering, Mathematics, or Statistics (Experience can compensate for lack of formal competency).

Minimum 3 years of experience in data science, data engineering, data analysis, or software development.

Minimum 3 years of programming experience in R, Python, or other data science languages.

Proficient in creating and optimizing SQL and shell scripts.

Proficient in analyzing, wrangling, and joining diverse datasets.

Proficient in using machine learning platforms to design, build, test, refine, and deploy predictive models.

Skilled in deploying and maintaining AI technologies in cloud environments.

Highly advanced in building high-quality graphical visualizations of data.

Capable of effectively structuring information and communicating insights in presentations.

Capable of writing and reviewing code in SQL, R, and Python.

Requirements from Level Guide.

benefits :
sharing the costs of sports activities private medical care sharing the costs of professional training & courses life insurance remote work opportunities flexible working time corporate sports team corporate library coffee / tea leisure zone holiday funds redeployment package employee referral program charity initiatives online training platform hybrid work model (2 days from home/ 3 days from the office) English & Norwegian & French classes