Senior Data Scientist - Predictive Modeling

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

Benefits offered by this job

Health insurance

Retirement savings plan

Professional development

Job summary

Placements24 in Mahikeng invites a highly analytical Senior Data Scientist specializing in Predictive Modeling to join our team. You will work with large datasets, build advanced models, and drive business decisions, optimization, and forecasting.

The role requires a strong quantitative background, expert programming skills in Python or R, and experience with Spark/Hadoop. You will communicate insights to stakeholders and contribute to data-driven solutions in a dynamic environment.

Qualifications

• Master's or Ph.D. in Computer Science, Statistics, Mathematics, or a related quantitative field.
• Minimum of 5 years of experience as a Data Scientist with a focus on predictive modeling and machine learning.
• Proficiency in programming languages such as Python or R, and experience with data science libraries (e.g., Scikit-learn, TensorFlow, PyTorch).
• Strong understanding of statistical modeling, machine learning algorithms, and data mining techniques.
• Experience with big data technologies (e.g., Spark, Hadoop) and SQL.
• Excellent problem-solving abilities and the capacity to work independently and collaboratively in Mahikeng.

Responsibilities

• Develop, implement, and validate advanced predictive models using machine learning algorithms.
• Analyze large, complex datasets to identify trends, patterns, and opportunities for business improvement.
• Design and execute A/B tests and other experiments to evaluate model performance and impact.
• Collaborate with business stakeholders to understand their needs and translate them into data science solutions.
• Build and maintain robust data pipelines for model training and deployment.
• Communicate complex findings and model insights clearly to both technical and non-technical audiences in Mahikeng.

Skills

Predictive modeling

Machine learning

Statistical analysis

Data analysis

Education

Master's or Ph.D. in Computer Science, Statistics, Mathematics, or related field

Tools

Python

R

Scikit-learn

TensorFlow

PyTorch

Spark

SQL

Job description

About the Role

Our client is seeking a highly analytical and experienced Senior Data Scientist specializing in Predictive Modeling to join their innovative team in Mahikeng . This role is pivotal in leveraging large datasets to build sophisticated models that drive business decisions, optimize operations, and forecast future trends. You will work with cutting-edge machine learning techniques and big data technologies to extract actionable insights and develop data-driven solutions. The ideal candidate possesses a strong quantitative background, exceptional programming skills, and a passion for uncovering patterns and making predictions from complex data.

Key Responsibilities

• Develop, implement, and validate advanced predictive models using machine learning algorithms.
• Analyze large, complex datasets to identify trends, patterns, and opportunities for business improvement.
• Design and execute A/B tests and other experiments to evaluate model performance and impact.
• Collaborate with business stakeholders to understand their needs and translate them into data science solutions.
• Build and maintain robust data pipelines for model training and deployment.
• Communicate complex findings and model insights clearly to both technical and non-technical audiences in Mahikeng .

Requirements

• Master's or Ph.D. in Computer Science, Statistics, Mathematics, or a related quantitative field.
• Minimum of 5 years of experience as a Data Scientist with a focus on predictive modeling and machine learning.
• Proficiency in programming languages such as Python or R, and experience with data science libraries (e.g., Scikit-learn, TensorFlow, PyTorch).
• Strong understanding of statistical modeling, machine learning algorithms, and data mining techniques.
• Experience with big data technologies (e.g., Spark, Hadoop) and SQL.
• Excellent problem-solving abilities and the capacity to work independently and collaboratively in Mahikeng .

Benefits

• Highly competitive salary and performance-based bonuses.
• Comprehensive health, dental, and vision insurance.
• Retirement savings plan and other financial benefits.
• Generous opportunities for professional development and continuous learning.
• Access to advanced computing resources and large datasets.
• A dynamic and forward-thinking work environment focused on innovation.