Remote Senior Data Scientist: Financial Modeling & ML Leader

Placements24; Queenstown; Hybrid; NZD 150.000 - 210.000; Vollzeit

Benefits dieser Stelle

Competitive salary and bonus structure

Health coverage and retirement plans

Generous paid time off

Remote work flexibility

Professional development opportunities

Zusammenfassung

Placements24 is seeking a Remote Senior Data Scientist in New Zealand to lead financial modeling initiatives, develop predictive models, and deploy ML systems across a distributed team. You will utilize Python or R, build robust data pipelines, and translate complex data insights into business strategies.

The role offers remote flexibility, strong compensation, and opportunities to impact fintech product development while collaborating with product managers, engineers, and researchers.

Qualifikationen

• Master's or PhD in Computer Science, Statistics, Mathematics, Data Science, or related quantitative field.
• Minimum 5 years of professional experience in data science with ML model development and deployment.
• Proficiency in Python or R and libraries such as Scikit-learn, TensorFlow, PyTorch, Pandas, NumPy.

Aufgaben

• Design, develop, and deploy ML models for financial forecasting, risk, and fraud detection.
• Conduct rigorous statistical analysis on large datasets to uncover insights and drive decisions.
• Collaborate with product managers and engineers to define project scope and success metrics.
• Build and maintain robust data pipelines and ETL processes.
• Conduct feature engineering and model validation to ensure accuracy and performance.
• Stay updated on advances in data science, ML, and AI; mentor junior data scientists.

Kenntnisse

Python

R

Scikit-learn

TensorFlow

PyTorch

Pandas

NumPy

SQL

Spark

Hadoop

Financial modeling

Ausbildung

Master's or PhD in CS/Statistics/Data Science

Tools

Spark

Hadoop

SQL

Jobbeschreibung

Placements24 is seeking a Remote Senior Data Scientist in New Zealand to lead financial modeling initiatives, develop predictive models, and deploy ML systems across a distributed team. You will utilize Python or R, build robust data pipelines, and translate complex data insights into business strategies.

The role offers remote flexibility, strong compensation, and opportunities to impact fintech product development while collaborating with product managers, engineers, and researchers.