Hybrid Data Scientist: Predictive Modeling & Insights

Placements24; Benoni; Hybrid; ZAR 700,000 - 1,000,000; Full time

Benefits offered by this job

Competitive salary

Bonus

Hybrid work model

Health insurance

Dental insurance

Vision insurance

Professional development

Conferences

Cutting-edge tools

Retirement plan

Job summary

Placements24 in Benoni is seeking an analytical and skilled Data Scientist to join their hybrid team. You will analyze complex datasets, develop predictive models, and extract actionable insights to drive business decisions, collaborating with multiple departments to understand data needs.

The ideal candidate holds a Master’s or PhD in a quantitative field, is proficient in Python or R with Pandas, NumPy, and Scikit-learn, and can communicate findings clearly.

Qualifications

• Master's or Ph.D. in a quantitative field.
• Proven experience as a Data Scientist or in a similar analytical role.
• Proficiency in Python or R and relevant libraries (Pandas, NumPy, Scikit-learn).
• Strong understanding of statistical modeling, ML techniques, and experimental design.
• Experience with data visualization tools (Tableau, Matplotlib).
• Excellent problem-solving and communication skills.

Responsibilities

• Collect, clean, and preprocess large datasets.
• Develop and implement statistical models and machine learning algorithms.
• Analyze data to identify trends, patterns, and insights relevant to business objectives.
• Create visualizations and reports to communicate findings effectively to stakeholders.
• Collaborate with engineering teams to deploy models into production systems.
• Stay current with the latest advancements in data science and machine learning.

Skills

Python

R

Pandas

NumPy

Scikit-learn

Statistical modeling

Data visualization

Experiment design

Communication skills

Education

Master's or PhD in quantitative field

Tools

Python

R

Tableau

Matplotlib

Pandas

NumPy

Scikit-learn

Job description

Placements24 in Benoni is seeking an analytical and skilled Data Scientist to join their hybrid team. You will analyze complex datasets, develop predictive models, and extract actionable insights to drive business decisions, collaborating with multiple departments to understand data needs.

The ideal candidate holds a Master’s or PhD in a quantitative field, is proficient in Python or R with Pandas, NumPy, and Scikit-learn, and can communicate findings clearly.