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Weekday, Inc.

Data Scientist

Posted Yesterday
Remote
Hiring Remotely in Australia
Junior
Remote
Hiring Remotely in Australia
Junior
Develop data-driven solutions to complex real-world problems using data science, machine learning, statistical modeling, and analytical reasoning. Candidates should currently work in a technical data science or machine learning role at a leading technology company, hold a quantitative undergraduate degree from a top-ranked university, and reside and work in an eligible English-speaking country.
The summary above was generated by AI

This role is for one of Weekday’s clients
Salary range: Rs 5000000 - Rs 15000000 (ie INR 50 - 150 LPA)

Min Experience: 1+ years
Location: United States, United Kingdom, Canada, Australia, New Zealand
JobType: full-time

We are seeking experienced Data Scientists and Machine Learning Scientists currently working at leading technology companies. The ideal candidates will have a strong technical background in data science, machine learning, and analytical problem-solving, along with an undergraduate degree from a top-ranked university.


RequirementsKey Requirements
  • Currently working as a Data Scientist, Machine Learning Scientist, or in a closely related technical role at a leading technology company.
  • Experience working in high-performing technology environments with exposure to advanced data science, machine learning, statistical modelling, or applied research.
  • Undergraduate degree from a top-ranked university in Computer Science, Data Science, Statistics, Mathematics, Engineering, or a related quantitative discipline.
  • Strong analytical, quantitative reasoning, and problem-solving skills.
  • Ability to apply data-driven approaches to complex real-world problems.
  • Currently residing and working in one of the following English-speaking countries: United States, United Kingdom, Canada, Australia, or New Zealand.
Preferred Candidate Profile

Candidates should have professional experience at established, top-tier technology organisations and demonstrate strong technical expertise in data science or machine learning.

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