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Python Data Scientist

Closing: Apr 30, 2024

6 days remaining

Published: Apr 3, 2024 (22 days ago)

Job Requirements

Education:

Work experience:

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Job Summary

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Qualifications and Skills
  • A Degree in Computer Science, Information Science, Mathematics or any closely related field is required.
  • 2+ years relevant work experience.
  • Sound knowledge of python libraries like Pandas, Request, NumpPy, MatPlotLib etc.
  • Good knowledge of relational and structural databases and how to create database schemas that represent and support business processes.
  • Understands the design principles behind a scalable application.
  • Sound knowledge of version control tools such as git.
  • Strong knowledge of web server exploits and their solutions.
  • Passion for best design and coding practices, and a desire to develop new interesting ideas.
  • Top-notch programming skills and in-depth knowledge of modern data science/machine learning and natural language processing technologies.
  • Great teamwork andcommunication skills.
  • Highly organized and pays extraordinary attention to detail.
  • Must have the ability to act quickly and pragmatically, prioritize and resolve issues.
  • Enthusiasm and high level of motivation.
Responsibilities
Qualifications and Skills
  • A Degree in Computer Science, Information Science, Mathematics or any closely related field is required.
  • 2+ years relevant work experience.
  • Sound knowledge of python libraries like Pandas, Request, NumpPy, MatPlotLib etc.
  • Good knowledge of relational and structural databases and how to create database schemas that represent and support business processes.
  • Understands the design principles behind a scalable application.
  • Sound knowledge of version control tools such as git.
  • Strong knowledge of web server exploits and their solutions.
  • Passion for best design and coding practices, and a desire to develop new interesting ideas.
  • Top-notch programming skills and in-depth knowledge of modern data science/machine learning and natural language processing technologies.
  • Great teamwork andcommunication skills.
  • Highly organized and pays extraordinary attention to detail.
  • Must have the ability to act quickly and pragmatically, prioritize and resolve issues.
  • Enthusiasm and high level of motivation.

Job Description

  • The Python Data Scientist will write scripts to query and manipulate large data sets. S/he will support the data team in the automation of the collection and analysis of data.
  • S/he will extract data from different sources, analyze it in the best way possible and draw inferences from them.
  • S/he may build specific AI tools for them to automate certain processes in the company.

Duties

  • Defines product objectives by gathering and analyzing user requirements; envisioning system features and functionality.
  • Recommends data solutions by exploring the advantages and benefits of existing development against alternative development.
  • Be involved in regular testing of data scraping scripts and software products; unit testing and integration testing.
  • Writes and updates software test processes and procedures.
  • Coordinates (or partakes in) the coding/programming of software products and solutions with version control systems such as git.
  • Develop and maintain Python scripts or applications to perform data scraping using the best available libraries in Python.
  • Development and maintenance of data pipeline processes.
  • Perform Data Analysis, mining and visualization using relevant Python libraries.
  • Developing data models and algorithms best suited to a particular scenario.
  • Employ sophisticated analytics programs, machine learning and statistical methods to prepare data for use in predictive and prescriptive modeling.
  • Develop and maintain Natural Language processing applications using python’s NLP libraries like Spacy, NLTK, HuggingFace, LangChain etc.
  • Write and implement test scripts for Python programs.
  • Responsible for managing and enforcing coding style and collaboration standards.
  • Supports and coordinates team members with appropriate review and retrospectives.
  • Involves in code review and optimization, and implements reviews made on products.
  • Write reusable and testable codes.

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