Data Scientist - Machine Learning & AI

Placements24; Randburg; Hybride; ZAR 900 000 - 1 300 000; Plein temps

Avantages offerts par ce poste

Competitive salary

Performance bonuses

Medical aid

Retirement annuities

Hybrid work model

Résumé du poste

Placements24 in Randburg is seeking a Data Scientist specializing in machine learning and AI to develop predictive models and uncover insights from complex datasets. This role centers on driving data-driven decision-making across the organization.

You will design experiments, build data pipelines, and communicate findings to both technical and non-technical stakeholders using Python or R and libraries like TensorFlow, PyTorch, and scikit-learn.

Qualifications

• Master’s or PhD in Computer Science, Statistics, Mathematics or related quantitative field.
• Minimum of 4 years of experience in data science with focus on ML/AI.
• Proficiency in Python or R and libraries (TensorFlow, PyTorch, scikit-learn, Pandas, NumPy).
• Solid understanding of statistical modeling, ML algorithms, and data mining techniques.
• Experience with data visualization tools (Matplotlib, Seaborn, Tableau).
• Familiarity with big data technologies (Spark, Hadoop) and SQL querying.
• Strong analytical and communication skills; ability to present insights clearly.

Responsabilités

• Develop, train, and deploy ML models for prediction, classification, and clustering.
• Analyze large datasets to identify trends and correlations.
• Design and run experiments to validate model performance.
• Collaborate with stakeholders to translate business needs into data science problems.
• Develop and maintain data pipelines ensuring data quality and integrity.
• Communicate findings clearly through reports and visualizations.
• Stay updated with ML/AI advancements and contribute to best practices.

Connaissances

Python

R

Statistical Modeling

Machine Learning

Data Mining

Data Visualization

Pandas

NumPy

Formation

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

Outils

TensorFlow

PyTorch

scikit-learn

Pandas

NumPy

Matplotlib

Seaborn

Tableau

Spark

SQL

Description du poste

About the Role

Our client, a cutting-edge analytics firm, is looking for a talented Data Scientist with a specialization in Machine Learning and Artificial Intelligence to join their team in Randburg. This role is central to developing predictive models, uncovering actionable insights from complex datasets, and driving data-driven decision-making across the organization. You will leverage advanced statistical techniques, machine learning algorithms, and data visualization tools to solve challenging business problems. The ideal candidate is passionate about data, possesses strong analytical and programming skills, and is eager to contribute to innovative AI solutions within the Gauteng region.

Key Responsibilities

• Develop, train, and deploy machine learning models for various applications, including prediction, classification, and clustering.
• Analyze large, complex datasets to identify trends, patterns, and correlations.
• Design and implement experiments to test hypotheses and validate model performance.
• Collaborate with stakeholders across different departments to understand business needs and translate them into data science problems.
• Develop and maintain data pipelines and ensure data quality and integrity.
• Communicate findings and insights clearly to both technical and non-technical audiences through reports and visualizations.
• Stay current with the latest advancements in machine learning, AI, and data science.
• Contribute to the development of best practices and methodologies within the data science team.

Requirements

• Master's or Ph.D. in Computer Science, Statistics, Mathematics, or a related quantitative field.
• Minimum of 4 years of experience in data science, with a strong focus on machine learning and AI.
• Proficiency in programming languages such as Python or R, and experience with relevant libraries (e.g., TensorFlow, PyTorch, scikit-learn, Pandas, NumPy).
• Solid understanding of statistical modeling, machine learning algorithms, and data mining techniques.
• Experience with data visualization tools (e.g., Matplotlib, Seaborn, Tableau).
• Familiarity with big data technologies (e.g., Spark, Hadoop) and database querying (SQL).
• Strong analytical and problem-solving skills, with the ability to think critically and creatively.
• Excellent communication and presentation skills.

Benefits

• Our client offers a competitive salary, performance bonuses, and a comprehensive benefits package including medical aid and retirement annuities.
• This hybrid role provides a blend of in-office collaboration and remote flexibility, supporting a healthy work-life balance in Randburg.
• Employees benefit from continuous learning opportunities, access to state-of-the-art tools, and the chance to work on impactful projects in the rapidly evolving field of AI.