Senior Data Scientist - Big Data Analytics

Placements24; Mtubatuba Local Municipality; Hybrid; ZAR 900,000 - 1,800,000; Full time

Benefits offered by this job

Competitive salary

Health benefits

Training & conferences

Hybrid work model

Industrial projects

Job summary

Placements24 is seeking a Senior Data Scientist to lead data initiatives in Richards Bay. You will build predictive models, analyze large datasets, and drive data-driven decision making across the organization.

The role requires 5+ years in data science, strong statistics and ML skills, and proficiency in Python or R. Hybrid work model and opportunities for training are offered by the employer.

Qualifications

• Master's or Ph.D. in Statistics, Computer Science, Mathematics, or a related quantitative field.
• 5+ years of professional experience in data science or a related analytical role.
• Expertise in statistical modeling, machine learning techniques (e.g., regression, classification, clustering), and experimental design.
• Proficiency in data manipulation and analysis tools like SQL, Pandas, and Spark.
• Strong programming skills in Python or R.
• Experience with data visualization tools (e.g., Tableau, Matplotlib, Seaborn).

Responsibilities

• Develop and implement advanced statistical models and machine learning algorithms for predictive analytics.
• Clean, process, and analyze large, complex datasets using Python or R and relevant libraries.
• Design and conduct A/B tests and other experiments to validate hypotheses and measure impact.
• Communicate complex findings and recommendations clearly to technical and non-technical stakeholders.
• Collaborate with data engineers to build and maintain robust data pipelines and infrastructure.
• Stay current with the latest advancements in data science, machine learning, and artificial intelligence.

Skills

Advanced ML techniques

Statistical modeling

Experiment design

Python

R

SQL

Pandas

Spark

Data visualization

Education

Master's or Ph.D. in Statistics/CS/Mathematics

Tools

SQL

Pandas

Spark

Tableau

Matplotlib

Seaborn

Job description

About the Role

Our client is seeking a highly analytical and experienced Senior Data Scientist to lead complex data initiatives and drive data-driven decision-making. You will work with large datasets, applying advanced statistical and machine learning techniques to extract valuable insights and develop predictive models. This role is crucial for uncovering trends, identifying opportunities, and solving challenging business problems in Richards Bay. Join a forward-thinking organization that values deep analytical expertise and offers the opportunity to shape data strategy.

Key Responsibilities

• Develop and implement advanced statistical models and machine learning algorithms for predictive analytics.
• Clean, process, and analyze large, complex datasets using Python or R and relevant libraries.
• Design and conduct A/B tests and other experiments to validate hypotheses and measure impact.
• Communicate complex findings and recommendations clearly to technical and non-technical stakeholders.
• Collaborate with data engineers to build and maintain robust data pipelines and infrastructure.
• Stay current with the latest advancements in data science, machine learning, and artificial intelligence.

Requirements

• Master's or Ph.D. in Statistics, Computer Science, Mathematics, or a related quantitative field.
• 5+ years of professional experience in data science or a related analytical role.
• Expertise in statistical modeling, machine learning techniques (e.g., regression, classification, clustering), and experimental design.
• Proficiency in data manipulation and analysis tools like SQL, Pandas, and Spark.
• Strong programming skills in Python or R.
• Experience with data visualization tools (e.g., Tableau, Matplotlib, Seaborn).

Benefits

• Highly competitive salary and bonus structure.
• Comprehensive health and wellness benefits.
• Opportunities for advanced training and conference attendance.
• A hybrid work model allowing for flexibility.
• Engage in impactful data projects within the industrial sector in Richards Bay.