Remote Junior Data Scientist — Mentorship & Growth

Placements24; Queenstown; Hybrid; NZD 60,000 - 90,000; Full time

Benefits offered by this job

Competitive salary

Remote work flexibility

Mentorship and professional growth

Access to cutting‑edge AI/ML tools

Job summary

WhatJobs Direct is seeking motivated Graduate Data Scientists to join our fully remote team. You will work on AI and machine learning projects, using Python and popular ML libraries, across diverse datasets and business challenges.

You will collaborate with experienced data scientists, develop predictive models, and contribute to model evaluations and data-driven insights in a remote-friendly environment.

Qualifications

• Master's or PhD in Data Science, Computer Science, Statistics, Mathematics or related field.
• Strong theoretical understanding of ML concepts and algorithms.
• Proficiency in Python and ML libraries (TensorFlow, PyTorch, scikit‑learn).
• Experience with data manipulation and database querying (SQL/NoSQL).

Responsibilities

• Design, develop, and implement ML models and algorithms.
• Perform data preprocessing, feature engineering, and model evaluation.
• Work with large datasets to extract insights and patterns.
• Collaborate with the data science team to define project objectives.
• Develop and deploy AI-powered solutions to address business challenges.
• Stay updated on AI/ML and deep learning advancements.
• Create data visualizations and reports to communicate findings.
• Participate in code reviews and knowledge sharing.
• Ensure ethical and responsible use of data and AI technologies.
• Document methodologies, models, and results thoroughly.

Skills

Python

ML concepts

AI/ML knowledge

Data analysis

Education

Master's or PhD (Data Science/CS/Statistics/Math)

Tools

TensorFlow

PyTorch

scikit-learn

Pandas

NumPy

Job description

WhatJobs Direct is seeking motivated Graduate Data Scientists to join our fully remote team. You will work on AI and machine learning projects, using Python and popular ML libraries, across diverse datasets and business challenges.

You will collaborate with experienced data scientists, develop predictive models, and contribute to model evaluations and data-driven insights in a remote-friendly environment.