Web3 Jobs in Asia

12,907 jobs found

web3.career is now part of the Bondex Logo Bondex Ecosystem

Receive emails of Web3 Jobs in Asia
Job Position Company Posted Location Salary Tags

Hike

India

Hike

Delhi, India

$87k - $2k

Hike

Delhi, India

$39k - $75k

Hike

Delhi, India

Hike

Delhi, India

$54k - $60k

Hike

India

$54k - $60k

Hike

Delhi, India

$87k - $2k

Hike

Delhi, India

$64k - $80k

Hike

India

$36k - $95k

Hike

Delhi, India

$64k - $80k

Hike

Delhi, India

$45k - $75k

Hike

India

Hike

India

$54k - $71k

Hike

Delhi, India

$72k - $75k

Hike

Delhi, India

$30k - $80k

Data Analyst Full Time Remote

Hike
India
Join Talent Pool

This job is closed

Description

At Hike, weโ€™re building the Rush Gaming Universe ๐ŸŽฎ ๐Ÿ“ฒ ๐Ÿ’ฐ

To know more, check out work.hike.in.


Skills & experience we're looking for ๐Ÿ‘จโ€๐Ÿ’ป

  • You have 1+ years of experience performing quantitative analysis, preferably for an Internet or technology company.
  • You have a Bachelorโ€™s degree in Math, Statistics, Comp Science, Engineering, or other technical field required; advanced degrees are strongly preferred.
  • You are hands-on with Python and SQL.
  • You are comfortable manipulating, transforming, and analysing complex, high-volume, high-dimensionality data from varying sources.
  • You have excellent data visualization capabilities, coupled with a holistic sense of interpreting patterns in data and producing meaningful insights.
  • You have solid foundations in statistics and data modelling, as well as a hunger to learn and create impact with these skills.
  • You have the desire to augment your knowledge and build strong machine learning science/engineering skills.
  • You have proven ability to work in a fast-paced environment, meet changing deadlines and priorities on multiple simultaneous projects.
  • You have excellent organisational, communication, presentation and interpersonal skills.
  • You enjoy working in both individual and team settings.


You will ๐Ÿ“ฒ

  • Perform quantitative analyses that translate data into actionable insights and provide analytical, data-driven decision-making support for key Machine Learning projects.
  • Own and evangelize data-driven experimentation and prototyping of Machine Learning flows in the team to improve the product, and document them.
  • Enable reviews, deep dives and analyses through the effective use of data and communicate and report insights and recommendations.
  • Work with machine learning scientists and machine learning engineers to improve their ML models.

๐Ÿ’ฐ Benefits โ†’ We have tremendous benefits & perks. Check out work.hike.in to know more

๐Ÿ‘พ Discord โ†’ Diving into our Discord is a great way to get to know us better (& maybe work on a few things with us)