Data Scientist - AI Research

Placements24

Centurion

Hybrid

ZAR 1,479,000 - 2,465,000

Full time

4 days ago
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Benefits offered by this job

Equity options
Health insurance
Home office allowance
Professional development budget
Flexible hours

Job summary

Placements24 is seeking an accomplished Data Scientist to join its AI research team in a fully remote capacity. The role focuses on developing next-generation AI models, analyzing large datasets, and deploying predictive systems using Python and major frameworks.

You will collaborate with engineers to productionize models, conduct rigorous experiments, and present findings to diverse audiences across a global organization. A strong academic background is required.

Qualifications

  • Master's or PhD in Computer Science, Statistics, Data Science, or a related quantitative field.
  • Proven experience in machine learning, statistical modeling, and data mining.
  • Strong programming skills in Python and proficiency with data science libraries (NumPy, Pandas, Scikit-learn).
  • Hands-on experience with deep learning frameworks such as TensorFlow or PyTorch.
  • Excellent problem-solving abilities and a strong theoretical understanding of AI algorithms and their applications.
  • Demonstrated ability to work independently and effectively in a remote, collaborative environment.

Responsibilities

  • Design, develop, and implement advanced machine learning models and algorithms for various AI applications.
  • Process, clean, and analyze large, complex datasets to extract meaningful insights and identify patterns.
  • Build and deploy predictive models, including deep learning architectures, utilizing Python and relevant libraries (TensorFlow, PyTorch).
  • Collaborate with engineering teams to integrate AI models into production systems and product features.
  • Conduct rigorous experimentation, hypothesis testing, and statistical analysis to validate model performance and research findings.
  • Present research outcomes and technical findings to both technical and non-technical audiences effectively.

Skills

Machine learning
Data mining
Python programming
Statistical analysis
Remote collaboration

Education

Master's degree in Computer Science or related field
PhD preferred

Tools

TensorFlow
PyTorch
NumPy
Pandas
Scikit-learn

Job description

About the Role

Our client is seeking an accomplished Data Scientist to join their pioneering Artificial Intelligence research team, operating in a fully remote capacity. This role is central to developing next-generation AI models and algorithms that will drive innovation across our client's diverse portfolio. You will leverage vast datasets, apply sophisticated machine learning techniques, and collaborate with a world-class team of researchers and engineers to tackle complex challenges and push the boundaries of what's possible with AI. This is an exceptional opportunity for a self-driven individual passionate about AI to make a significant impact from anywhere, contributing to groundbreaking research and development.

Key Responsibilities
  • Design, develop, and implement advanced machine learning models and algorithms for various AI applications.
  • Process, clean, and analyze large, complex datasets to extract meaningful insights and identify patterns.
  • Build and deploy predictive models, including deep learning architectures, utilizing Python and relevant libraries (TensorFlow, PyTorch).
  • Collaborate with engineering teams to integrate AI models into production systems and product features.
  • Conduct rigorous experimentation, hypothesis testing, and statistical analysis to validate model performance and research findings.
  • Present research outcomes and technical findings to both technical and non-technical audiences effectively.
Requirements
  • Master's or PhD in Computer Science, Statistics, Data Science, or a related quantitative field.
  • Proven experience in machine learning, statistical modeling, and data mining.
  • Strong programming skills in Python and proficiency with data science libraries (NumPy, Pandas, Scikit-learn).
  • Hands-on experience with deep learning frameworks such as TensorFlow or PyTorch.
  • Excellent problem-solving abilities and a strong theoretical understanding of AI algorithms and their applications.
  • Demonstrated ability to work independently and effectively in a remote, collaborative environment.
Benefits
  • Highly competitive salary and equity options.
  • Comprehensive health, dental, and vision insurance.
  • Generous home office setup allowance and internet reimbursement.
  • Significant budget for professional development, conferences, and online courses.
  • Flexible working hours and a focus on work-life balance, fully supporting remote work.
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