Senior Data Scientist

Placements24; Sandton; Hybrid; ZAR 900,000 - 1,500,000; Full time

Benefits offered by this job

Hybrid work model

Health, dental, and vision insurance

Professional development budget

Challenging data projects

Job summary

Placements24 in Sandton is seeking a Senior Data Scientist to lead advanced statistical modeling and machine learning initiatives. You will extract insights from complex datasets and drive data-informed decisions in a hybrid work environment.

The role requires a Master’s or PhD in a quantitative field, 5+ years of experience, and proficiency in Python or R, with hands-on experience in Pandas, NumPy, SQL, and data visualization tools such as Tableau or Power BI.

Qualifications

• Master's or PhD in a quantitative field (Statistics, CS, Math, or Economics).
• 5+ years of data science experience.
• Proficiency in Python or R and data manipulation libraries (Pandas, NumPy).

Responsibilities

• Develop and implement advanced statistical models and ML algorithms.
• Analyze large datasets to identify trends, patterns, and insights.
• Design and conduct experiments to test hypotheses and evaluate model effectiveness.
• Collaborate with stakeholders to translate data needs into analytical solutions.
• Communicate complex findings clearly to technical and non-technical audiences.
• Stay current with the latest advancements in data science, ML, and AI.

Skills

Python

R

Pandas

NumPy

SQL

Tableau

Power BI

Statistical modeling

Machine learning

Experiment design

Education

Master's or PhD in a quantitative field

Job description

About the Role

Our client is seeking a highly analytical and experienced Senior Data Scientist to join their innovative team in Sandton . You will be responsible for leveraging advanced statistical and machine learning techniques to extract valuable insights from complex datasets, driving data-informed decision-making across the organization. This role offers a unique opportunity to work on challenging problems, develop predictive models, and contribute to strategic business initiatives. We are looking for a thought leader who can translate data into actionable strategies within a collaborative, hybrid work environment.

Key Responsibilities

• Develop and implement advanced statistical models and machine learning algorithms to solve business problems.
• Analyze large, complex datasets to identify trends, patterns, and insights that can drive business value.
• Design and conduct experiments to test hypotheses and evaluate the effectiveness of models.
• Collaborate with stakeholders across various departments to understand their data needs and translate them into analytical solutions.
• Communicate complex findings and recommendations clearly and concisely to both technical and non-technical audiences.
• Stay current with the latest advancements in data science, machine learning, and artificial intelligence.

Requirements

• Master's or Ph.D. in a quantitative field such as Statistics, Computer Science, Mathematics, or Economics.
• 5+ years of professional experience in data science or a related analytical role.
• Strong proficiency in programming languages such as Python or R , and expertise in data manipulation and analysis libraries (e.g., Pandas, NumPy).
• Deep understanding of statistical modeling, machine learning algorithms (e.g., regression, classification, clustering, deep learning), and experimental design.
• Experience with data visualization tools (e.g., Tableau, Power BI) and database querying languages (e.g., SQL).
• Excellent problem-solving skills and the ability to work independently and collaboratively.

Benefits

• Competitive annual salary and significant bonus potential based on performance.
• Hybrid work model offering flexibility and work-life integration.
• Comprehensive health, dental, and vision insurance coverage.
• Generous budget for professional development, conferences, and advanced training.
• Opportunity to work on cutting-edge data challenges and shape data strategy.