Data Scientist

Weekday Ai; New Zealand; On-site; NZD 93,000 - 280,000; Full time

Job summary

Weekday client is seeking an experienced Data Scientist or ML Scientist with a strong background in data science, machine learning, and analytical problem-solving. An undergraduate degree from a top-ranked university is required.

Candidates should have experience in high-performing tech environments and reside in one of the eligible English-speaking countries: United States, United Kingdom, Canada, Australia or New Zealand. This is a full-time role.

Qualifications

• Experience as Data Scientist or ML Scientist at a tech company.
• Strong background in data science, ML, statistics, or research.
• Undergraduate degree in a quantitative field from a top university.

Responsibilities

• Apply data-driven approaches to real-world problems.
• Work in high-performing technology environments on ML projects.
• Collaborate with teams to advance data science initiatives.

Skills

Data science

Machine learning

Analytical skills

Problem solving

Education

Undergraduate degree in CS/DS/Math/Engineering

Job description

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.

Requirements

Key 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.