Data Scientist / Data Analyst

New

Upvanta sp. z o.o.Bioeconomy and agriculture

Workplace type: remote; Country code: PLFull-TimeMiddle

Salary not disclosed

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Job Details

Languages: Bardzo dobra znajomość języka angielskiego (min. C1).
Experience: Minimum 3 lata doświadczenia w wykorzystaniu metodologii MuSIASEM oraz narzędzi Life Cycle Assessment (LCA). Minimum 1 rok doświadczenia komercyjnego w programowaniu w Pythonie. Minimum 1 rok doświadczenia w technologiach webowych: HTML5, CSS3, JavaScript (ES6), D3.js.
Required Skills: PythonETLHTMLCSSJavascriptMicrosoft Power BI

Hold a relevant master’s, bachelor’s, or engineering degree, supported by appropriate professional experience.
Have at least 3 years of experience using the MuSIASEM methodology and Life Cycle Assessment (LCA) tools.
Have at least 1 year of commercial Python programming experience.
Have at least 1 year of experience with HTML5, CSS3, JavaScript (ES6), and D3.js.
Have experience with ETL processes, data integration, and data modeling.
Have very good knowledge of Power BI and DAX.
Have very good knowledge of Git and good practices for version control and code quality.
Have experience in data analysis and applying statistical methods.
Be familiar with European agricultural databases such as Eurostat and FAO, or similar.
Have very good English proficiency, at least C1.

Design and develop a multi-level relational database covering EU, national, and regional data.
Source, integrate, and process data from European and international statistical sources.
Create and maintain ETL processes and data-quality procedures.
Analyze agricultural and bioeconomy data and prepare business and scientific findings.
Collaborate with experts, researchers, public administration representatives, and external partners.
Develop data-exploration tools and solutions using artificial intelligence.
Prepare reports, dashboards, visualizations, and presentation materials.
Create technical documentation and training materials.
Participate in workshops and events concerning the use of data in decision-making.

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