Senior Data Scientist - Machine Learning

Placements24; Klerksdorp; Hybrid; ZAR 1,200,000 - 2,100,000; Full time

Benefits offered by this job

Competitive salary

Annual bonus

Health, dental, and vision insurance

Stock options

Retirement savings plan

Flexible hours

Home office stipend

Job summary

Placements24 is seeking a Senior Data Scientist with a specialization in machine learning to join our remote R&D team. You will design, build, and deploy advanced ML models to drive data-informed decisions across the organization.

You will analyze large, complex datasets, run experiments to improve model performance, and partner with engineering and product teams to productionize solutions. Strong communication in a remote-first setting is essential.

Qualifications

• Master's degree or PhD in a quantitative field.
• 5+ years of professional data science experience with a strong focus on machine learning.
• Proficiency in Python or R and ML libraries like TensorFlow, PyTorch, or scikit-learn.
• Experience with big data technologies (e.g., Spark, Hadoop) and cloud platforms (AWS, Azure, GCP).
• Solid understanding of statistical modeling, experimental design, and data mining techniques.
• Proven ability to work effectively in a remote-first environment with strong communication skills.

Responsibilities

• Design, develop, and deploy sophisticated ML models for predictive analytics and pattern recognition.
• Clean, process, and analyze large datasets to extract actionable insights.
• Collaborate with engineering and product teams to productionize ML models.
• Conduct A/B testing and experiments to evaluate model performance and identify improvements.
• Stay current with ML, AI, and data science advancements.
• Communicate complex technical findings to both technical and non-technical stakeholders.

Skills

Python

TensorFlow

PyTorch

scikit-learn

Spark

Hadoop

AWS

Azure

GCP

Statistical modeling

Education

Master's degree

PhD

Tools

Jupyter

Job description

About the Role

Our client is actively seeking a talented and motivated Senior Data Scientist with a specialization in machine learning to join their fully remote R&D team. This role is ideal for an individual passionate about leveraging vast datasets to uncover insights, build predictive models, and drive data-informed decision-making across the organization. You will be instrumental in advancing our AI and machine learning capabilities, contributing to the development of innovative solutions that will shape our future products and services. This is a unique opportunity to work from anywhere while contributing to impactful projects.

Key Responsibilities

• Design, develop, and deploy sophisticated machine learning models for predictive analytics and pattern recognition.
• Clean, process, and analyze large, complex datasets from various sources to extract actionable insights.
• Collaborate with engineering and product teams to integrate ML models into production systems.
• Conduct A/B testing and other experiments to evaluate model performance and identify areas for improvement.
• Stay current with the latest advancements in machine learning, AI, and data science methodologies.
• Communicate complex technical findings and recommendations to both technical and non-technical stakeholders.

Requirements

• Master's degree or PhD in Computer Science, Statistics, Data Science, or a related quantitative field.
• 5+ years of professional experience in data science, with a strong focus on machine learning.
• Proficiency in programming languages such as Python or R, and libraries like TensorFlow, PyTorch, or scikit-learn.
• Experience with big data technologies (e.g., Spark, Hadoop) and cloud platforms (AWS, Azure, GCP).
• Solid understanding of statistical modeling, experimental design, and data mining techniques.
• Proven ability to work effectively in a remote-first environment, demonstrating strong communication and collaboration skills.

Benefits

• Highly competitive salary and annual bonus structure.
• Comprehensive health, dental, and vision insurance plans.
• Generous stock options and retirement savings plan.
• Flexible working hours and unlimited paid time off.
• Company-provided equipment and a home office stipend.