Senior Data Scientist - Machine Learning

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

Benefits offered by this job

Health benefits

Flexible work environment

Job summary

Placements24 is seeking a Senior Data Scientist specialized in machine learning to develop, deploy and optimize predictive models for complex datasets. You will design experiments, build data pipelines, and translate business problems into data-driven solutions while mentoring junior team members.

Ideal candidates will have strong ML theory, production deployment experience, and excellent communication skills to present results to diverse audiences.

Qualifications

• 7+ years in data science with ML focus.
• Strong statistical modeling and algorithm development.
• Proficiency in Python or R and ML libraries.
• Experience with SQL, Pandas, Spark.
• Cloud platforms and MLOps experience a plus.

Responsibilities

• Develop and deploy advanced ML models and algorithms.
• Analyze large datasets to identify trends and insights.
• Design experiments and validate model performance.
• Collaborate with stakeholders to translate needs into problems.
• Build data pipelines for training and evaluation.
• Mentor junior data scientists and contribute to team growth.
• Present findings to technical and non-technical audiences.
• Stay updated on ML research and tools.

Skills

Machine Learning

Statistical Modeling

Problem-Solving

Communication

Mentorship

Education

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

Tools

Python

R

SQL

Pandas

Spark

TensorFlow

PyTorch

AWS

Azure

GCP

Job description

About the Role

Our client is a pioneering data analytics firm based in **Paarl, Western Cape**, dedicated to unlocking insights from complex datasets. We are seeking a highly skilled Senior Data Scientist with a strong specialization in Machine Learning to drive innovation and deliver data-driven solutions. This role is critical for developing and implementing advanced predictive models, algorithms, and ML solutions that address key business challenges. You will work with large, diverse datasets, leveraging state-of-the-art techniques to uncover patterns, generate predictions, and optimize decision-making for our clients. The ideal candidate possesses a deep theoretical understanding of ML algorithms, practical experience in deploying models into production, and exceptional analytical and problem-solving skills. Join a collaborative team of data professionals committed to pushing the boundaries of data science and making a tangible impact. This is an exceptional opportunity to shape data strategies and contribute to the growth of a forward-thinking organization.

Key Responsibilities

• Develop, implement, and deploy advanced machine learning models and algorithms.
• Analyze large, complex datasets to identify trends, patterns, and actionable insights.
• Design and conduct experiments to test hypotheses and validate model performance.
• Collaborate with business stakeholders to understand their needs and translate them into data science problems.
• Build data pipelines and preprocessing workflows for model training and evaluation.
• Communicate complex findings and recommendations clearly to both technical and non-technical audiences.
• Stay current with the latest research and advancements in machine learning and data science.
• Mentor junior data scientists and contribute to the team's technical growth.
• Evaluate and select appropriate tools and technologies for data analysis and model development.

Requirements

• Minimum 7 years of experience in data science, with a strong focus on machine learning.
• Proven expertise in statistical modeling, predictive analytics, and algorithm development.
• Proficiency in programming languages such as Python or R, and relevant ML libraries (e.g., scikit-learn, TensorFlow, PyTorch).
• Experience with data manipulation and analysis tools (e.g., SQL, Pandas, Spark).
• Strong understanding of ML algorithms (e.g., regression, classification, clustering, deep learning).
• Experience with cloud platforms (AWS, Azure, GCP) and MLOps practices is a plus.
• Excellent problem-solving, analytical, and critical thinking skills.
• Strong communication and presentation skills, with the ability to explain technical concepts to diverse audiences.
• Master’s or PhD degree in Computer Science, Statistics, Mathematics, or a related quantitative field.

Benefits

• Our client offers a competitive salary, performance-based bonuses, comprehensive health benefits, and a flexible work environment.
• This remote role allows you to work from anywhere, with a focus on delivering exceptional results from **Paarl, Western Cape** and beyond. Enjoy opportunities for professional development, exposure to cutting-edge projects, and a collaborative culture dedicated to data-driven innovation.