Created 4 months ago
Gigster Gigster

Sr Data Scientist at Gigster

Remote, Globally

  • Angela Zhao
  • Fabio Nelson Salinas Moreno
  • Juan Graffigna
  • Kevin Limkrailassiri
  • Cristian C Bittel
  • Alejandro Lorca
  • Eliana Restrepo
118 Applicants

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Job details

These are the details of the job, consider each of them before you apply.

  • Company: Gigster
  • Salary: Salary to be Agreed
  • Remote?: Yes

Job Description:

Gigster is looking for exceptional freelancer Data Scientists to join the Gigster Talent Network, and build models and apply quantitative techniques to create data-related business impact for our enterprise clients. Your fellow Data Scientists on our Talent Network range from entrepreneurs to Data Scientists from well-known technology companies. The most successful freelancers on the Gigster Talent Network are collaborative, reliable and client-oriented.

This is a remote position that can be done from anywhere in the world! Occasionally, you may be asked to travel with on-site for client projects.

If this seems interesting to you, fill out the application below to get started.


  • Develop, test, implement, and potentially maintain statistical modeling implementations
  • Design experiments and interpret the results to draw detailed and actionable conclusions to enhance the product
  • Guide the data formulation process, which may include identification of attributes, exploratory data analysis, data transformation, and temporal layout
  • Communicate clearly with client stakeholders, who could be CIOs of major enterprise companies, to provide data-related recommendations and solutions  


  • Quantitative background: Advanced degree in quantitative field, such as computer science, statistics or mathematics, preferred
  • 4 years+ work experience in a data-related research or company role, implementing statistical and data-mining techniques in an applied production environment (i.e. Classification, ranking, segmentation, multivariate regression and/or pattern recognition techniques)
  • Experience with common analytical toolkits and languages, such as Python, R, SQL, Weka, NumPy, MatLab, with additional familiarity in software engineering
  • Comfort working with extremely large data sets and relational databases
  • Research mindset with bias towards action -  ability to structure a project from idea to experimentation to prototype to implementation
  • Excellent capability to communicate complex ideas and solution recommendations to both fellow team members and clients
  • Ability to work collaboratively in high-intensity and fast-paced environments with numerous team members

About the Gigster Talent Network

The Gigster Talent Network is a global community of vetted and expert freelancers, who have a passion for creating software. Spanning 30+ countries and covering a wide range of professional experience, the designers, product managers, data scientists and software engineers on the Gigster Talent Network collaborate on teams to deliver digital transformation projects for Gigster’s enterprise clients.  To be the best place to freelance, Gigster empowers members of the Gigster Talent Network with smarter tools, workflows and access to industry expertise.  We are changing how software is being built and shaping the future of work.  Come join us!

There are multiple positions currently available with the Gigster Talent Network. While you may apply to multiple positions, it is advisable to apply to the position most suitable to your skills, as you will go through a screening process based on the role and skills you've selected.

Hiring policy
The personal data you provide as an applicant to Gigster through this website, shall be transferred by such receiver to Gigster under our terms and conditions for application purposes. Consequently, by sending your information through of the website, you consent to the transfer of personal data to third parties, in compliance with the provisions of the Laws for the Protection of Personal Data from each country where has a presence, as the consent is free, prior, express, unequivocal and informed.
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