Data Scientist (Machine Learning Focus)

Placements24; Richards Bay; Hybrid; ZAR 650,000 - 1,000,000; Full time

Benefits offered by this job

Competitive salary

Medical aid

Retirement fund

Generous leave

Professional development

Hybrid work

Job summary

Placements24 in Richards Bay invites a Data Scientist with ML expertise to join a growing analytics team in a hybrid role that balances remote and office collaboration.

You will design and productionize ML models, preprocess large datasets, communicate insights to stakeholders, and stay current with advances in data science to shape business decisions.

Qualifications

• Master's or PhD in a quantitative field (CS, statistics, math).
• Proven experience as a Data Scientist focusing on ML.
• Strong Python or R with ML libraries.

Responsibilities

• Design, develop, and implement ML models to solve complex business problems.
• Clean, transform, and preprocess large datasets for analysis and model training.
• Perform statistical analysis and hypothesis testing to identify trends and patterns.
• Evaluate and optimize model performance, ensuring accuracy and efficiency.
• Collaborate with engineers to deploy models into production environments.
• Communicate complex findings and insights to technical and non-technical stakeholders.
• Stay abreast of the latest research and advancements in data science and machine learning.
• Develop data visualizations to effectively present analytical results.
• Contribute to the development of data strategies and roadmaps.

Skills

Statistical analysis

Hypothesis testing

Communication

Problem solving

Education

Master's degree in CS/Statistics/Math

PhD in related field

Tools

Python

R

SQL

TensorFlow

PyTorch

Pandas

NumPy

Scikit-learn

Matplotlib

Seaborn

Tableau

Job description

About the Role

Our client, a pioneering analytics firm located in Richards Bay, KwaZulu-Natal , is seeking an accomplished Data Scientist with a strong specialization in Machine Learning to join their growing team. This hybrid role offers the flexibility to work from home and in the office, fostering collaboration while respecting work-life balance. You will play a pivotal role in leveraging complex datasets to uncover insights, build predictive models, and drive data-informed decision-making across various business units. The ideal candidate possesses a robust statistical background, advanced programming skills, and hands-on experience with cutting-edge machine learning techniques. This is a unique opportunity to apply your expertise to real-world challenges in a dynamic industry. You will work closely with stakeholders to define analytical problems, develop scalable solutions, and communicate findings effectively. We are looking for a proactive and curious individual who is passionate about extracting value from data and is eager to contribute to innovative projects in the Richards Bay area. Join us to make a significant impact through data science and shape the future of our client's operations.

Key Responsibilities

• Design, develop, and implement machine learning models to solve complex business problems.
• Clean, transform, and preprocess large datasets for analysis and model training.
• Perform statistical analysis and hypothesis testing to identify trends and patterns.
• Evaluate and optimize model performance, ensuring accuracy and efficiency.
• Collaborate with engineers to deploy models into production environments.
• Communicate complex findings and insights to technical and non-technical stakeholders.
• Stay abreast of the latest research and advancements in data science and machine learning.
• Develop data visualizations to effectively present analytical results.
• Contribute to the development of data strategies and roadmaps.

Requirements

• Master's or PhD in Computer Science, Statistics, Mathematics, or a related quantitative field.
• Proven experience as a Data Scientist with a focus on Machine Learning.
• Strong proficiency in Python or R, including libraries for data manipulation, analysis, and machine learning (e.g., Pandas, NumPy, Scikit-learn, TensorFlow, PyTorch).
• Experience with SQL for data querying and manipulation.
• Solid understanding of statistical modeling, predictive analytics, and various ML algorithms (e.g., regression, classification, clustering, deep learning).
• Experience with data visualization tools (e.g., Matplotlib, Seaborn, Tableau).
• Strong analytical and problem-solving skills.
• Excellent communication and presentation abilities.
• Ability to work effectively in a hybrid team environment.

Benefits

• Highly competitive salary with performance-based incentives.
• Comprehensive medical aid and retirement fund contributions.
• Generous leave allowance.
• Opportunities for ongoing professional development and training.
• Hybrid work arrangement offering flexibility.
• Access to cutting-edge technology and resources.
• A stimulating work environment focused on innovation.