Senior Machine Learning Data Scientist — Remote

Placements24; Queenstown; Hybrid; NZD 120,000 - 180,000; Full time

Benefits offered by this job

Fully remote work

Competitive compensation with bonuses

Health insurance

Retirement plan

Professional development budget

Job summary

Placements24 is seeking a Data Scientist specializing in Machine Learning to join a remote-first data analytics firm. You will develop and deploy predictive models and AI solutions that drive critical business insights and product innovation.

This role requires a strong foundation in statistical modeling, ML algorithms, and data manipulation, with the ability to translate complex findings into actionable recommendations.

Qualifications

• Master's or PhD in a quantitative field (CS/Stats/Math).
• 5+ years in data science with a focus on ML.
• Proficiency in Python or R and ML libraries (TensorFlow/PyTorch/scikit-learn).
• Strong understanding of ML algorithms (supervised/unsupervised/deep learning).

Responsibilities

• Design, develop, and deploy ML models to solve complex business problems.
• Analyze large datasets to identify patterns and insights using statistical techniques.
• Build and maintain data pipelines for model training, validation, and deployment.
• Evaluate and optimize model performance for accuracy and scalability.
• Collaborate with engineering/product teams to deploy models into production.
• Communicate findings to technical and non-technical stakeholders.
• Stay updated with ML research and developments.
• Develop data visualizations to present findings clearly.

Skills

Statistical modelling

Machine learning

Data analysis

Python or R

ML libraries

SQL

Cloud ML

Education

Master's or PhD in a quantitative field

Tools

TensorFlow

PyTorch

scikit-learn

Spark

Hadoop

SQL

AWS/Azure/GCP

Docker

Job description

Placements24 is seeking a Data Scientist specializing in Machine Learning to join a remote-first data analytics firm. You will develop and deploy predictive models and AI solutions that drive critical business insights and product innovation.

This role requires a strong foundation in statistical modeling, ML algorithms, and data manipulation, with the ability to translate complex findings into actionable recommendations.