Senior Data Scientist

Placements24; East London; On-site; ZAR 900,000 - 1,500,000; Full time

Job summary

Placements24 in Queenstown, South Africa, seeks a Senior Data Scientist to extract insights from complex data, build predictive models, and guide data-driven decisions across the organization.

You will tackle challenging problems, apply advanced statistics, and collaborate with various departments to optimize business strategies and drive analytics initiatives.

Qualifications

• 5+ years of experience in a Data Scientist role.
• Proficiency in programming languages such as Python or R and libraries like Pandas, NumPy, Scikit-learn.
• Expertise in statistical modeling, machine learning algorithms, and data mining techniques.
• Experience with SQL and large datasets, including data warehousing and ETL processes.
• Strong data visualization skills with Tableau, Power BI, or Matplotlib/Seaborn.
• Master's or Ph.D. in a quantitative field such as Computer Science, Statistics, Mathematics, or related discipline.

Responsibilities

• Design and implement statistical models, machine learning algorithms, and data mining techniques.
• Clean, process, and transform large, complex datasets for analysis and modeling.
• Develop and deploy predictive models to forecast trends and support decisions.
• Visualize and communicate findings to technical and non-technical stakeholders.
• Collaborate with engineering and product teams to integrate data science into production systems.
• Stay current with data science advancements and assess their applicability.

Skills

Python

R

Pandas

NumPy

Scikit-learn

SQL

Data Visualization

Education

Master's or PhD in quantitative field

Tools

Tableau

Power BI

Matplotlib

Seaborn

Job description

About the Role

Our client is looking for a highly analytical and innovative Senior Data Scientist to join their expanding team in Queenstown . This role is pivotal in extracting meaningful insights from complex datasets, developing predictive models, and driving data-informed decision-making across the organization. You will tackle challenging problems, leverage advanced statistical techniques, and collaborate with various departments to uncover opportunities and optimize business strategies. This is an exceptional opportunity for a seasoned data professional to make a significant impact and contribute to cutting-edge analytical initiatives.

Key Responsibilities

• Design and implement statistical models, machine learning algorithms, and data mining techniques to solve complex business problems.
• Clean, process, and transform large, complex datasets to prepare them for analysis and modeling.
• Develop and deploy predictive models to forecast trends, identify patterns, and support strategic decisions.
• Visualize and communicate complex findings and recommendations to both technical and non-technical stakeholders.
• Collaborate with engineering and product teams to integrate data science solutions into production systems.
• Stay current with advancements in data science, machine learning, and AI, and explore their applicability to business challenges.

Requirements

• 5+ years of experience in a Data Scientist role, with a strong portfolio of analytical projects.
• Proficiency in programming languages commonly used in data science, such as Python or R, and their associated libraries (e.g., Pandas, NumPy, Scikit-learn).
• Expertise in statistical modeling, machine learning algorithms, and data mining techniques.
• Experience with SQL and working with large datasets, including data warehousing and ETL processes.
• Strong data visualization skills and experience with tools like Tableau, Power BI, or Matplotlib/Seaborn.
• Master's or Ph.D. in a quantitative field such as Computer Science, Statistics, Mathematics, or related discipline.

Benefits

• Highly competitive salary with performance-based bonuses.
• Comprehensive health and retirement benefits package.
• Opportunities for professional development, training, and attending industry conferences.
• A collaborative and intellectually stimulating work environment in Queenstown .
• Work on challenging and impactful data-driven projects.