Remote Lead Data Scientist Fintech ML Leader

Placements24; Richards Bay; Hybrid; ZAR 1,200,000 - 1,800,000; Full time

Benefits offered by this job

Stock options

Fully remote work

Comprehensive health insurance

Professional development budget

Job summary

Placements24 seeks a Lead Data Scientist to spearhead advanced analytics in fintech, working remotely. You will guide a team of data scientists, develop and deploy sophisticated models, and translate business challenges into data science solutions.

Collaboration with engineering, product, and business teams is essential to shape product strategy and customer experience. Responsibilities include mentoring the team, building scalable pipelines, evaluating new algorithms, and communicating complex

Qualifications

• 7+ years of data science experience with team leadership.
• Strong background in ML/DL, statistics, and experimental design.
• Proficiency in Python or R and data science libraries.

Responsibilities

• Lead and mentor a team of data scientists and set strategic direction.
• Design, develop, and deploy ML models for analytics and fraud detection.
• Collaborate with engineering, product, and business teams to define problems.
• Develop robust data pipelines for model training and deployment.
• Evaluate new algorithms and tools to advance capabilities.
• Communicate findings to technical and non-technical audiences.

Skills

Leadership

Python

Machine learning

SQL

Communication

Education

Master's or PhD in Computer Science, Statistics or Mathematics

Tools

Spark

TensorFlow

PyTorch

scikit-learn

Job description

Placements24 seeks a Lead Data Scientist to spearhead advanced analytics in fintech, working remotely. You will guide a team of data scientists, develop and deploy sophisticated models, and translate business challenges into data science solutions.

Collaboration with engineering, product, and business teams is essential to shape product strategy and customer experience. Responsibilities include mentoring the team, building scalable pipelines, evaluating new algorithms, and communicating complex