Senior Data Scientist - Remote Analytics for Oil & Gas

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

Benefits offered by this job

Competitive salary

Health insurance

Performance bonus

Flexible remote work

Job summary

Placements24 is seeking a Senior Data Scientist for a fully remote role in the Oil & Gas sector. You will develop and deploy machine learning models for predictive maintenance, production optimization, and risk assessment, translating complex data into actionable insights for engineers and geoscientists.

Candidates should hold a Master’s degree or PhD in a quantitative field, with 6+ years in data science, strong Python or R skills, experience with Spark/Hadoop and cloud platforms, and a proven

Qualifications

• Advanced degree in a quantitative field (MSc/PhD).
• 6+ years of data science experience in an industrial setting.
• Proficient in Python or R with libraries (scikit-learn, TensorFlow, PyTorch, Pandas).
• Experience with big data tools (Spark/Hadoop) and cloud platforms (AWS/Azure/GCP).

Responsibilities

• Develop and deploy ML models for predictive maintenance and production optimization.
• Analyze large datasets using advanced statistics and programming.
• Design A/B tests and experiments to validate hypotheses.
• Build data pipelines and automate processing workflows.
• Create data visualizations and dashboards for diverse stakeholders.
• Collaborate with engineers and geoscientists to translate needs into solutions.
• Mentor junior data scientists and contribute to team growth.

Skills

Python

R

Machine Learning

Big Data

Cloud Platforms

Education

Master's degree or PhD in quantitative field

Tools

Spark

Hadoop

TensorFlow

PyTorch

Tableau

Power BI

Job description

Placements24 is seeking a Senior Data Scientist for a fully remote role in the Oil & Gas sector. You will develop and deploy machine learning models for predictive maintenance, production optimization, and risk assessment, translating complex data into actionable insights for engineers and geoscientists.

Candidates should hold a Master’s degree or PhD in a quantitative field, with 6+ years in data science, strong Python or R skills, experience with Spark/Hadoop and cloud platforms, and a proven