Senior Data Scientist - Machine Learning

Placements24; Benoni; Hybrid; ZAR 900,000 - 1,300,000; Full time

Benefits offered by this job

Health insurance

Retirement plan

Professional development budget

Flexible working

Job summary

Placements24 is seeking a Senior Data Scientist in Benoni to lead ML initiatives, build predictive models, and drive data-informed decisions across the organization.

You will work with engineers and stakeholders, tackle challenging problems, and shape data products that influence strategy within our Benoni R&D hub.

Qualifications

• Master's or PhD in CS, Statistics, Mathematics, or a related quantitative field.
• Minimum of 6 years of experience as a Data Scientist, with a strong focus on ML.
• Proficiency in Python or R, and ML libraries (TensorFlow, PyTorch, scikit-learn).
• Solid understanding of ML algorithms (regression, SVMs, random forests, deep learning).
• Experience with data manipulation tools (SQL, Pandas) and Spark.
• Strong problem-solving skills and ability to work independently in a fast-paced environment.

Responsibilities

• Develop, train, and deploy ML models for prediction, classification, and clustering.
• Analyze large datasets to identify trends and insights aligned with business goals.
• Collaborate with software engineers to integrate models into production systems.
• Design and run A/B tests to evaluate model performance and impact.
• Communicate findings clearly to technical and non-technical audiences.
• Keep up-to-date with advancements in ML and data science methodologies.

Skills

Machine Learning

Python

R

TensorFlow

PyTorch

scikit-learn

SQL

Spark

Communication

Independence

Education

Master's degree in CS/Statistics/Math

PhD in a quantitative field

Tools

TensorFlow

PyTorch

scikit-learn

SQL

Spark

Pandas

Job description

About the Role

Our client is seeking an accomplished Senior Data Scientist with expertise in Machine Learning to join their advanced analytics team in Benoni . This role is pivotal in leveraging large datasets to build predictive models, derive actionable insights, and drive data-informed decision-making across the organization. You will work on challenging problems, collaborate with engineers and business stakeholders, and contribute to the development of innovative data products. The ideal candidate possesses a strong quantitative background, extensive experience with ML algorithms and tools, and a passion for solving complex problems using data. This is a fantastic opportunity to influence strategy and shape the future of data science within our Benoni R&D hub.

Key Responsibilities

• Develop, train, and deploy sophisticated machine learning models for prediction, classification, and clustering tasks.
• Analyze large, complex datasets to identify trends, patterns, and insights relevant to business objectives.
• Collaborate with software engineers to integrate ML models into production systems and applications.
• Design and execute A/B tests and experiments to evaluate model performance and business impact.
• Communicate complex findings and recommendations clearly to both technical and non-technical audiences.
• Stay abreast of the latest advancements in machine learning, artificial intelligence, and data science methodologies.

Requirements

• Master's or PhD in Computer Science, Statistics, Mathematics, or a related quantitative field.
• Minimum of 6 years of experience as a Data Scientist, with a strong focus on machine learning applications.
• Proficiency in programming languages such as Python or R, and expertise in ML libraries (e.g., TensorFlow, PyTorch, scikit-learn).
• Solid understanding of various ML algorithms (e.g., regression, SVMs, random forests, deep learning) and their applications.
• Experience with data manipulation tools (e.g., SQL, Pandas) and big data technologies (e.g., Spark).
• Strong problem-solving skills and ability to work independently in a fast-paced environment.

Benefits

• A highly competitive annual salary with significant performance bonuses.
• Comprehensive health, dental, and vision insurance plans.
• Retirement savings plan with employer matching.
• Generous budget for professional development, including courses, conferences, and certifications.
• Flexible working arrangements and a modern office environment in Benoni .
• The opportunity to work on impactful projects with a team of talented data professionals.