Senior Data Scientist - AI & Machine Learning

Placements24

Midrand

Hybrid

ZAR 900,000 - 1,500,000

Full time

4 days ago
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Benefits offered by this job

Health and wellness benefits
Hybrid work model
Relocation assistance may be available
Professional development opportunities
Generous paid time off

Job summary

Placements24 in Midrand, Gauteng, is seeking a highly skilled Senior Data Scientist to advance AI-driven research in a cutting-edge environment. You will work with large datasets, build predictive models, and shape innovative data solutions that push scientific boundaries.

The role offers a hybrid work model with on-site collaboration and occasional remote flexibility, mentoring junior data scientists and contributing to impactful research initiatives within a collaborative team.

Qualifications

  • Advanced degree in CS, statistics, math, physics, or related field.
  • Minimum 5 years of professional data science experience with AI/ML.
  • Strong Python or R programming skills with TF, PyTorch, Scikit-learn, Pandas, NumPy.
  • Experience with cloud platforms (AWS, Azure, GCP) and big data technologies (Spark, Hadoop).
  • Solid understanding of statistical modeling, experimental design, and hypothesis testing.
  • Excellent problem-solving and communication skills.

Responsibilities

  • Develop and implement sophisticated machine learning algorithms and statistical models to analyze large-scale scientific datasets.
  • Design, build, and maintain data pipelines for efficient data extraction, transformation, and loading.
  • Collaborate closely with research scientists and engineers to understand project goals and translate them into data-driven solutions.
  • Perform rigorous data validation and quality assurance to ensure the accuracy and reliability of analytical results.
  • Present complex findings and insights clearly and concisely to both technical and non-technical stakeholders.
  • Stay abreast of the latest advancements in AI, machine learning, and data science, and apply them to novel research challenges.
  • Contribute to the development of intellectual property and publish research findings in relevant scientific venues.
  • Mentor junior data scientists and contribute to the team's overall technical growth.

Skills

Python
R
TensorFlow
PyTorch
Scikit-learn
Pandas
NumPy
Communication skills

Education

Master's or Ph.D. in Computer Science / Statistics / Mathematics / Physics

Tools

AWS
Azure
GCP
Spark
Hadoop
Matplotlib
Seaborn
Tableau

Job description

About the Role

Our client, a leading innovator in scientific research and development, is seeking a highly skilled and experienced Senior Data Scientist to join their dynamic team in Midrand, Gauteng . This pivotal role focuses on leveraging cutting-edge AI and machine learning techniques to drive groundbreaking discoveries and develop advanced solutions. You will be instrumental in shaping the future of our client's research initiatives, working with complex datasets to uncover hidden patterns and build predictive models. This is an exceptional opportunity for a motivated individual to make a significant impact in a collaborative and intellectually stimulating environment, contributing to projects that push the boundaries of scientific knowledge. The role offers a blend of on-site collaboration and remote flexibility, fostering a productive and engaging work experience in the heart of Gauteng's innovation hub.



Key Responsibilities


  • Develop and implement sophisticated machine learning algorithms and statistical models to analyze large-scale scientific datasets.

  • Design, build, and maintain data pipelines for efficient data extraction, transformation, and loading.

  • Collaborate closely with research scientists and engineers to understand project goals and translate them into data-driven solutions.

  • Perform rigorous data validation and quality assurance to ensure the accuracy and reliability of analytical results.

  • Present complex findings and insights clearly and concisely to both technical and non-technical stakeholders.

  • Stay abreast of the latest advancements in AI, machine learning, and data science, and apply them to novel research challenges.

  • Contribute to the development of intellectual property and publish research findings in relevant scientific venues.

  • Mentor junior data scientists and contribute to the team's overall technical growth.



Requirements


  • Master's or Ph.D. in Computer Science, Statistics, Mathematics, Physics, or a related quantitative field.

  • Minimum of 5 years of professional experience in data science, with a strong focus on AI and machine learning.

  • Proven expertise in programming languages such as Python or R, and proficiency with relevant libraries (e.g., TensorFlow, PyTorch, Scikit-learn, Pandas, NumPy).

  • Hands-on experience with cloud platforms (AWS, Azure, GCP) and big data technologies (Spark, Hadoop).

  • Strong understanding of statistical modeling, experimental design, and hypothesis testing.

  • Excellent problem-solving skills and the ability to tackle complex, ambiguous challenges.

  • Demonstrated ability to communicate technical concepts effectively, both verbally and in writing.

  • Experience with data visualization tools (e.g., Matplotlib, Seaborn, Tableau) is a plus.

  • Familiarity with scientific research methodologies and the ability to work in a research-intensive environment.



Benefits

Our client offers a competitive salary package, comprehensive health and wellness benefits, generous paid time off, and opportunities for professional development and continuing education. Employees benefit from a stimulating work environment, access to state-of-the-art research facilities, and the chance to collaborate with world-class scientists. The hybrid work model provides flexibility, balancing the benefits of in-office collaboration with the convenience of remote work. Relocation assistance may be available for qualified candidates. Join a company that values innovation, collaboration, and employee growth.

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