Data Scientist - AI/ML Focus

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

Benefits offered by this job

Fully remote work

Health insurance

Professional development

Conferences attendance

Flexible scheduling

Job summary

Placements24 is seeking a talented Data Scientist in Mossel Bay to join a dynamic team focused on AI and ML. You will analyze large datasets, build predictive models, and develop data-driven solutions that power intelligent products and business decisions.

The role offers remote work with flexible scheduling, competitive compensation, comprehensive health coverage, and opportunities for professional development through online courses and conferences.

Qualifications

• Master's or PhD in Statistics, Data Science, Computer Science, or a related quantitative field.
• 3+ years of experience as a Data Scientist, with a significant portion focused on AI/ML model development.
• Proficiency in Python or R, and experience with data science libraries (Pandas, NumPy, Scikit-learn).
• Strong SQL skills for data extraction and manipulation.
• Experience with data visualization tools (e.g., Matplotlib, Seaborn, Tableau).
• Familiarity with cloud platforms (AWS, Azure, GCP) and big data technologies is a plus.

Responsibilities

• Analyze large, complex datasets to identify trends, patterns, and insights.
• Develop, train, and evaluate machine learning models for prediction, classification, and clustering.
• Design and implement A/B tests and other experiments to measure the impact of ML solutions.
• Communicate findings and recommendations clearly to technical and non-technical stakeholders through visualizations and reports.
• Build and maintain data pipelines and processing workflows for ML applications.
• Collaborate with engineering teams to deploy models into production environments.

Skills

Python

R

Pandas

NumPy

SQL

Data Visualization

Cloud Platforms

Machine Learning

Education

Master's or PhD in a quantitative field

Tools

Tableau

Power BI

Scikit-learn

TensorFlow

Job description

About the Role

Our client is looking for a talented and analytical Data Scientist with a strong focus on AI and Machine Learning to join their dynamic team in Mossel Bay. You will leverage vast datasets to uncover insights, build predictive models, and develop data-driven solutions that power intelligent products and enhance business strategies. This role offers the opportunity to work on challenging projects that have a direct impact on business outcomes, using state-of-the-art tools and techniques. You will collaborate with engineers, product managers, and business analysts to translate complex data into actionable intelligence within a progressive and innovative company culture.

Key Responsibilities

• Analyze large, complex datasets to identify trends, patterns, and insights.
• Develop, train, and evaluate machine learning models for prediction, classification, and clustering.
• Design and implement A/B tests and other experiments to measure the impact of ML solutions.
• Communicate findings and recommendations clearly to technical and non-technical stakeholders through visualizations and reports.
• Build and maintain data pipelines and processing workflows for ML applications.
• Collaborate with engineering teams to deploy models into production environments.

Requirements

• Master's or PhD in Statistics, Data Science, Computer Science, or a related quantitative field.
• 3+ years of experience as a Data Scientist, with a significant portion focused on AI/ML model development.
• Proficiency in Python or R, and experience with data science libraries (Pandas, NumPy, Scikit-learn).
• Strong SQL skills for data extraction and manipulation.
• Experience with data visualization tools (e.g., Matplotlib, Seaborn, Tableau).
• Familiarity with cloud platforms (AWS, Azure, GCP) and big data technologies is a plus.

Benefits

• Competitive salary and performance-based bonuses.
• Fully remote work opportunity with flexible scheduling.
• Comprehensive health, dental, and vision insurance.
• Support for professional development, including online courses and conference attendance.
• A collaborative and innovative work environment focused on data-driven decision-making.