Data Scientist - Deep Learning Applications

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

Benefits offered by this job

Competitive salary package

Health, dental, and vision insurance

Retirement savings plan

Paid time off and holidays

Professional development opportunities

Hybrid work model

Job summary

Placements24 in Vereeniging, Gauteng, is seeking a Data Scientist with a strong focus on deep learning to uncover patterns in large datasets and develop cutting-edge models. You will collaborate with experts to push AI research and apply advanced techniques.

The ideal candidate has a PhD/masters in a quantitative field, 3+ years of DL experience, and strong Python plus TensorFlow, PyTorch, and related libraries. Hybrid work arrangement in Vereeniging is offered.

Qualifications

• Master's or PhD in Computer Science, Statistics, Mathematics, Physics, or a related quantitative field.
• 3+ years of experience as a Data Scientist with a deep learning focus.
• Proficiency in Python and libraries: TensorFlow, PyTorch, Keras, Scikit-learn, Pandas, NumPy.

Responsibilities

• Design, develop, and implement deep learning models for various applications (e.g., image recognition, NLP, forecasting).
• Clean, preprocess, and analyze large, complex datasets to identify trends and extract insights.
• Collaborate with stakeholders to translate business needs into data science projects.
• Build and maintain robust data pipelines for model training and deployment.
• Evaluate model performance, iterate on model design, and ensure accuracy and efficiency.
• Stay current with the latest advancements in deep learning, ML, and AI research.
• Communicate findings clearly to both technical and non-technical audiences.
• Document methodologies and results for team knowledge.

Skills

Deep Learning

Analytical thinking

Problem-solving

Critical thinking

Communication

Education

Master's or PhD in a quantitative field

Tools

Python

TensorFlow

PyTorch

Keras

Scikit-learn

Pandas

NumPy

Job description

About the Role

Our client, a dynamic innovator in AI & Emerging Technologies, is seeking a talented Data Scientist with a strong focus on Deep Learning applications to join their team in **Vereeniging, Gauteng**. This role is integral to uncovering complex patterns and insights from vast datasets, developing cutting-edge deep learning models to solve challenging business problems. You will collaborate with a team of experts, contributing to research and development that pushes the boundaries of AI. The ideal candidate possesses a strong analytical mindset, excellent programming skills, and a passion for applying advanced mathematical and statistical techniques. This is an exciting opportunity to make a significant impact in the rapidly evolving field of AI, based in **Vereeniging, Gauteng**.

Key Responsibilities

• Design, develop, and implement deep learning models for various applications (e.g., image recognition, natural language processing, forecasting).
• Clean, preprocess, and analyze large, complex datasets to identify trends and extract meaningful insights.
• Collaborate with stakeholders to understand business needs and translate them into data science projects.
• Build and maintain robust data pipelines for model training and deployment.
• Evaluate model performance, iterate on model design, and ensure accuracy and efficiency.
• Stay current with the latest advancements in deep learning, machine learning, and artificial intelligence research.
• Communicate findings and insights clearly to both technical and non-technical audiences.
• Contribute to the team's knowledge base by documenting methodologies and results.
• Explore and experiment with new algorithms and techniques to improve model efficacy.

Requirements

• Master's or PhD in Computer Science, Statistics, Mathematics, Physics, or a related quantitative field.
• 3+ years of experience as a Data Scientist, with a significant focus on deep learning.
• Strong proficiency in Python and relevant libraries such as TensorFlow, PyTorch, Keras, Scikit-learn, Pandas, and NumPy.
• Solid understanding of deep learning architectures (CNNs, RNNs, Transformers) and principles.
• Experience working with large datasets and distributed computing environments.
• Proficiency in SQL for data extraction and manipulation.
• Excellent analytical, problem-solving, and critical-thinking skills.
• Strong communication and presentation skills.
• Experience with cloud platforms (AWS, Azure, GCP) is a plus.
• Familiarity with MLOps practices is beneficial.
• Must be able to work in **Vereeniging, Gauteng** with a hybrid arrangement.

Benefits

• Our client offers a competitive salary package, including potential for performance-based bonuses.
• Comprehensive health, dental, and vision insurance are provided.
• A retirement savings plan is available, along with paid time off and holidays.
• Opportunities for professional development, including access to advanced training, workshops, and conferences, are actively supported.
• This role offers a hybrid work model, promoting work-life balance.
• Employees benefit from a collaborative and innovative environment in **Vereeniging, Gauteng**.
• Additional perks may include wellness programs and team-building activities.