Remote Senior Data Scientist

Placements24; Randburg; Hybrid; ZAR 1,100,000 - 1,700,000; Full time

Benefits offered by this job

Remote work

Health insurance

Paid time off

Learning opportunities

Conference attendance

Job summary

Placements24 is seeking a Senior Data Scientist to join a fully remote analytics team. The role focuses on building predictive models, data-driven solutions, and cross-functional collaboration to drive business impact.

You will work with Python/R, Spark/Hadoop, and modern ML frameworks, translating complex data insights into actionable strategies across finance and product teams.

Qualifications

• Master's or PhD in Computer Science, Statistics, Mathematics, or a related quantitative field.
• 5+ years of professional experience in data science or a related analytical role.
• Proficiency in Python or R and libraries such as Scikit-learn, TensorFlow, PyTorch.
• Strong experience with SQL and NoSQL databases, and big data technologies (Spark, Hadoop).
• Experience deploying ML models in production and communicating results clearly.

Responsibilities

• Design, develop, and deploy ML models to solve complex business problems.
• Perform data wrangling and exploratory data analysis on large datasets.
• Develop and maintain data pipelines and ETL processes.
• Communicate findings to technical and non-technical stakeholders with visualizations.
• Collaborate with engineering to integrate models into production systems.
• Stay updated with advances in data science and AI.

Skills

Python

R

SQL

Big data

Machine learning

Education

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

Tools

Spark

Hadoop

TensorFlow

PyTorch

SQL

NoSQL

Job description

About the Role

Our client is seeking an innovative and experienced Senior Data Scientist to join their advanced analytics team, working entirely remotely. In this critical role, you will leverage large datasets to uncover insights, build predictive models, and develop data-driven solutions that enhance business strategy and performance. You will collaborate with cross-functional teams, including product, engineering, and marketing, to translate complex data findings into actionable business recommendations. This is a fully remote opportunity for a seasoned data science professional eager to drive innovation and impact within a leading financial institution, contributing advanced analytical expertise from Gauteng or anywhere in the country.

Key Responsibilities

• Design, develop, and deploy machine learning models and algorithms to solve complex business problems.
• Perform data mining, data wrangling, and exploratory data analysis on large, diverse datasets.
• Develop and maintain robust data pipelines and ETL processes for data extraction and transformation.
• Communicate complex analytical findings and recommendations to both technical and non-technical stakeholders through compelling visualizations and presentations.
• Collaborate with engineering teams to integrate data science models into production systems.
• Stay current with the latest advancements in data science, machine learning, and AI.

Requirements

• Master's or Ph.D. in Computer Science, Statistics, Mathematics, or a related quantitative field.
• 5+ years of professional experience in data science or a related analytical role.
• Proficiency in programming languages such as Python or R, and relevant libraries (e.g., Scikit-learn, TensorFlow, PyTorch).
• Strong experience with SQL and NoSQL databases, as well as big data technologies (e.g., Spark, Hadoop).
• Demonstrated ability to build and deploy machine learning models in a production environment.
• Excellent problem-solving, critical thinking, and communication skills.

Benefits

• Highly competitive salary package, commensurate with experience and expertise.
• Fully remote work environment offering maximum flexibility and autonomy.
• Comprehensive health, dental, and vision insurance coverage.
• Generous paid time off and company holidays.
• Opportunities for continuous learning, attending conferences, and professional development.