Data Scientist - Predictive Analytics

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

Job summary

Placements24 is seeking a Data Scientist in Vereeniging, SA, focusing on predictive analytics. You will leverage large datasets to build models and drive data-driven decisions across the organization.

You'll join a collaborative team, work with modern tools, and contribute to data infrastructure while staying current with AI advances. Remote work is available, with expectations to align with business needs and stakeholders.

Qualifications

• Master's or PhD in Statistics, Mathematics, Computer Science, Economics, or related quantitative field.
• Proven experience in data science with predictive modeling and ML.
• Proficiency in Python or R and data manipulation libraries (Pandas, NumPy).
• Hands-on experience with ML libraries/frameworks (Scikit-learn, TensorFlow, PyTorch).
• Strong understanding of statistical modeling, hypothesis testing, and experimental design.
• Experience with SQL and relational databases.
• Excellent problem-solving and analytical skills.
• Strong communication and presentation skills.
• Familiarity with big data technologies (Spark, Hadoop) is a plus.

Responsibilities

• Develop, test, and deploy sophisticated predictive models using ML algorithms.
• Clean, transform, and analyze large datasets to identify trends and insights.
• Collaborate with stakeholders to translate needs into data science projects.
• Communicate findings clearly to technical and non-technical audiences.
• Design and run A/B tests to validate hypotheses and measure impact.
• Stay current with advances in data science and AI.
• Develop data visualizations to present complex information.
• Contribute to the development of data infrastructure and tooling.

Skills

Strong analytical thinking

Problem solving

Communication skills

Experiment design

Education

Master's or PhD in Statistics, Mathematics, Computer Science, Economics, or related quantitative field

Tools

Python

R

Pandas

NumPy

Scikit-learn

TensorFlow

PyTorch

SQL

Spark

Hadoop

Job description

About the Role

Our client, a forward-thinking company at the intersection of AI and business intelligence, is seeking a talented Data Scientist to focus on predictive analytics. In this role, you will leverage vast datasets to uncover insights, build predictive models, and drive data-informed decision-making across the organization. You will be part of a collaborative team, working with cutting-edge tools and methodologies to solve complex business problems. This position is based in Vereeniging, Gauteng, ZA and offers a remote work arrangement.

Key Responsibilities

• Develop, test, and deploy sophisticated predictive models using statistical techniques and machine learning algorithms.
• Clean, transform, and analyze large, complex datasets to identify trends, patterns, and actionable insights.
• Collaborate with business stakeholders to understand their needs and translate them into data science projects.
• Communicate findings and recommendations clearly and concisely to both technical and non-technical audiences.
• Design and implement A/B tests and other experiments to validate hypotheses and measure impact.
• Stay abreast of the latest advancements in data science, machine learning, and AI.
• Develop data visualizations to effectively present complex information.
• Contribute to the development of data infrastructure and tooling.

Requirements

• Master's or PhD in Statistics, Mathematics, Computer Science, Economics, or a related quantitative field.
• Proven experience in data science, with a strong focus on predictive modeling and machine learning.
• Proficiency in programming languages such as Python or R, and experience with data manipulation libraries (e.g., Pandas, NumPy).
• Hands-on experience with machine learning libraries and frameworks (e.g., Scikit-learn, TensorFlow, PyTorch).
• Strong understanding of statistical modeling, hypothesis testing, and experimental design.
• Experience with SQL and working with relational databases.
• Excellent problem-solving and analytical skills.
• Strong communication and presentation skills.
• Familiarity with big data technologies (e.g., Spark, Hadoop) is a plus.

Benefits

Our client offers a competitive salary and benefits package, including health insurance, retirement contributions, and performance bonuses. Employees have access to ongoing professional development opportunities, including training, workshops, and conference attendance. The remote work arrangement promotes a healthy work-life balance. Join a dynamic team focused on innovation and data-driven growth within the exciting field of AI.