Remote Data Scientist — Fintech ML & Analytics

Placements24; Gqeberha; Hybrid; ZAR 900,000 - 1,500,000; Full time

Benefits offered by this job

Stock options

Fully remote

Medical, dental, vision coverage

Dev budget for conferences/courses

Collaborative data-driven culture

Job summary

Placements24 is seeking an innovative Data Scientist to join a cutting-edge Fintech team in a fully remote role. You will develop advanced analytical models, harness large datasets, and deploy ML solutions to optimize business strategies.

Responsibilities include designing ML models for fraud detection and customer segmentation, building data pipelines, and communicating insights to stakeholders. The role requires 5+ years of experience and expertise in Python/R, SQL, and ML libraries.

Qualifications

• PhD or Master’s in CS/Statistics/Mathematics or related quantitative field.
• 5+ years of professional Data Scientist / ML Engineer experience.
• Proficiency in Python or R and ML libraries (scikit-learn, TensorFlow, PyTorch).
• Strong SQL and big data tech (Spark, Hadoop).

Responsibilities

• Design, develop, and implement machine learning models for predictive analytics, fraud detection, and customer segmentation.
• Clean, process, and analyze large, structured and unstructured datasets from various sources.
• Collaborate with product managers, engineers, and business stakeholders to define data-driven solutions.
• Develop and maintain data pipelines and ETL processes for efficient data management.
• Communicate complex findings and insights clearly to technical and non-technical audiences via visualizations and reports.
• Stay abreast of the latest advancements in data science, ML, and AI.

Skills

Python

R

SQL

Machine Learning

Big Data

Model Deployment

Communication

Python/R

Education

PhD/ MSc in CS/Stats/Math

5+ years experience

Tools

TensorFlow

PyTorch

scikit-learn

Spark

Hadoop

Job description

Placements24 is seeking an innovative Data Scientist to join a cutting-edge Fintech team in a fully remote role. You will develop advanced analytical models, harness large datasets, and deploy ML solutions to optimize business strategies.

Responsibilities include designing ML models for fraud detection and customer segmentation, building data pipelines, and communicating insights to stakeholders. The role requires 5+ years of experience and expertise in Python/R, SQL, and ML libraries.