Data scientist

Role details

Contract type

Permanent contract

Employment type

Full-time (> 32 hours)

Working hours

Regular working hours

Languages

English

Job source

zetazsystems.com

Tech stack

Data Analysis Unit Testing Extract Transform Load (ETL) Data Stores Data Visualization R (Programming Language) Apache Hadoop Python (Programming Language) MongoDB NoSQL NumPy SQL Databases

+5 more

Talend Pandas Matplotlib Plotly Data Management

Requirements

Excellent knowledge of Data Analytics techniques and tools;
Experience with languages like R, Python, PERL;
Proficient in continuous code delivery and unit testing;
Expertise in the ETL processes and tools (i.e. Talend Open Studio…);
Good knowledge of SQL tooling (NoSQL DB, MongoDB, Hadoop, SQL);
Knowledge of architectural design and implementation of scalable modern data stores;
Knowledge of R-Studio infrastructure is an asset;
Experience in developing interactive R / Python dashboards using packages like Shiny, Dash or similar is an asset;
Experience in developing R / Python functions to perform linear algebra calculations with data frames and arrays, ensuring efficient manipulation of data is an asset;
Experience in using the following libraries (or equivalents) is an asset:
Data Management: Pandas (tidyverse and dplyr for R), Numpy;
Data Visualizations: at least one among Matplotlib, Seaborn or Plotly (ggplot2 for R);
Capability to write clear and structured technical documents;
Ability to work in a team as well as autonomously;
Results-oriented mindset, focused on delivering;
Good communication skills in English, both orally and in written form.

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Data scientist

Role details

Tech stack

Requirements

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