Data Scientist - AI & Machine Learning

Placements24; Sandton; On-site; ZAR 600,000 - 900,000; Full time

Benefits offered by this job

Competitive salary

Health benefits

Professional development and industry-

Access to advanced analytics tools

Paid annual leave

Job summary

Placements24 is seeking a talented Data Scientist for our Sandton, Gauteng team. You will extract actionable insights from large datasets and build predictive models that inform business strategy.

You will work with cutting-edge AI and ML techniques to solve diverse challenges in a collaborative environment. The ideal candidate has a strong foundation in statistics and machine learning, is proficient in Python or R, and can communicate complex results clearly.

Qualifications

• Master's or PhD in Statistics, Mathematics, Computer Science, Data Science, or related quantitative field.
• Proven experience as a Data Scientist or similar analytical role.
• Strong proficiency in Python or R with data science libraries.

Responsibilities

• Analyze large, complex datasets to identify trends and insights relevant to business objectives.
• Develop, train, and evaluate machine learning models for predictive analytics and classification.
• Design and implement experiments to test hypotheses and validate model performance.
• Collaborate with stakeholders to translate business needs into data science problems in Sandton, Gauteng.
• Clean, preprocess, and transform data for analysis and modeling.
• Communicate findings effectively through visualizations and reports.
• Stay updated with data science, ML, and AI advancements.
• Develop and maintain data science models in production with MLOps engineers.

Skills

Python

R

Pandas

NumPy

Scikit-learn

TensorFlow

PyTorch

SQL

Tableau

Matplotlib

Seaborn

Cloud Platforms

AWS

Azure

GCP

Jupyter

Education

Master's or PhD in Statistics/Mathematics/CS/Data Science

Tools

AWS

Azure

GCP

Jupyter

Job description

About the Role

Our client is seeking a talented and analytical Data Scientist to join their growing team in Sandton, Gauteng. This role is crucial for extracting actionable insights from complex datasets and developing predictive models that drive business strategy and innovation. You will work with cutting-edge AI and machine learning techniques to solve challenging problems across various business domains. The position offers a dynamic work environment in the heart of Sandton, where you can collaborate with a team of experts and contribute to developing data-driven solutions. The ideal candidate will possess a strong foundation in statistics, machine learning, and programming, with a passion for uncovering patterns and building intelligent systems. This is an opportunity to make a significant impact through data analysis and advanced modeling.

Key Responsibilities

• Analyze large, complex datasets to identify trends, patterns, and insights relevant to business objectives.
• Develop, train, and evaluate machine learning models for predictive analytics, classification, clustering, and other tasks.
• Design and implement experiments to test hypotheses and validate model performance.
• Collaborate with stakeholders to understand business needs and translate them into data science problems in Sandton, Gauteng.
• Clean, preprocess, and transform data to prepare it for analysis and modeling.
• Communicate findings and recommendations effectively through visualizations and reports.
• Stay updated with the latest advancements in data science, machine learning, and AI.
• Develop and maintain data science models in production environments, working closely with MLOps engineers.
• Contribute to the team's knowledge base and mentor junior data scientists.

Requirements

• Master's or PhD degree in Statistics, Mathematics, Computer Science, Data Science, or a related quantitative field.
• Proven experience as a Data Scientist or in a similar analytical role.
• Strong proficiency in Python or R, along with experience in relevant data science libraries (e.g., Pandas, NumPy, Scikit-learn, TensorFlow, PyTorch).
• Solid understanding of statistical concepts, machine learning algorithms, and data mining techniques.
• Experience with SQL and working with relational databases.
• Proficiency in data visualization tools (e.g., Matplotlib, Seaborn, Tableau).
• Excellent problem-solving skills and attention to detail.
• Strong communication and presentation skills, essential for working in Sandton.
• Experience with cloud platforms (AWS, Azure, GCP) is a plus.

Benefits

• Competitive salary package commensurate with experience.
• Comprehensive health and wellness benefits.
• Opportunities for professional development and attending industry conferences.
• Access to advanced analytics tools and robust data infrastructure.
• A stimulating and collaborative work environment in Sandton, Gauteng.
• Paid annual leave and public holidays.