Senior Data Scientist

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

Benefits offered by this job

Competitive salary

Hybrid work

Health benefits

Professional development

Cutting-edge data tools

Wellness programs

Retirement plan

Job summary

Placements24 in Polokwane, Limpopo, ZA is seeking a highly analytical Senior Data Scientist to join a data-driven team. The role offers a hybrid work model with in-office collaboration and remote flexibility to extract insights from large datasets, develop predictive models, and drive data-informed decisions across the business.

You will work with advanced analytics tools, translate complex findings for stakeholders, mentor junior data scientists, and contribute to shaping the company’s data

Qualifications

• Master's or PhD in a quantitative field (e.g., Statistics, Mathematics, CS, Economics).
• 5+ years in Data Science or similar analytical role.
• Proficiency in Python or R and libraries (Pandas, NumPy, Scikit-learn, TensorFlow, PyTorch).
• Strong statistical modeling, ML, and data mining knowledge.
• Experience with SQL and large databases.
• Familiarity with big data tools (Spark, Hadoop) is a plus.
• Experience with data visualization tools (Tableau, Power BI, Matplotlib).
• Excellent analytical, problem-solving, and communication skills.
• Ability to work independently and in a hybrid team.

Responsibilities

• Design and implement statistical models and ML algorithms to solve business problems.
• Analyze large datasets to identify trends and insights.
• Develop predictive models for forecasting, classification, and anomaly detection.
• Clean, transform, and prepare data for analysis and modeling.
• Communicate findings clearly to technical and non-technical stakeholders.
• Collaborate with engineering and product teams to deploy data-driven solutions.
• Develop and maintain dashboards and reports to track KPIs.
• Stay updated on advances in data science, ML, and AI.
• Mentor junior data scientists and contribute to knowledge sharing.
• Evaluate and integrate new data mining techniques and tools.

Skills

Analytical thinking

Communication skills

Hybrid work capability

Education

Master's or PhD in quantitative field

Tools

Python

R

Pandas

NumPy

Scikit-learn

TensorFlow

PyTorch

SQL

Spark

Hadoop

Tableau

Power BI

Matplotlib

Job description

About the Role

Our client is actively seeking a highly analytical and experienced Senior Data Scientist to join their data-driven organization in Polokwane, Limpopo, ZA . This role operates on a hybrid model, offering a blend of in-office collaboration and remote work flexibility. You will be instrumental in extracting valuable insights from complex datasets, developing predictive models, and driving data-informed decision-making across the business. This is an exciting opportunity to work with large-scale data, cutting-edge analytical tools, and a team of talented professionals. The ideal candidate possesses a strong statistical background, proficiency in machine learning techniques, and excellent communication skills to translate findings into actionable business strategies. You will contribute to shaping the future of our data analytics capabilities.

Key Responsibilities

• Design and implement statistical models and machine learning algorithms to solve complex business problems.
• Analyze large, complex datasets to identify trends, patterns, and actionable insights.
• Develop predictive models for forecasting, classification, and anomaly detection.
• Clean, transform, and prepare data for analysis and modeling.
• Communicate complex findings and recommendations clearly to both technical and non-technical stakeholders.
• Collaborate with engineering and product teams to integrate data-driven solutions into products and services.
• Develop and maintain data visualizations and reports to track key metrics and KPIs.
• Stay abreast of the latest advancements in data science, machine learning, and artificial intelligence.
• Mentor junior data scientists and contribute to the team's knowledge sharing.
• Evaluate and implement new data mining techniques and tools.

Requirements

• Master's or Ph.D. in a quantitative field such as Statistics, Mathematics, Computer Science, Economics, or a related discipline.
• 5+ years of experience as a Data Scientist or in a similar analytical role.
• Proficiency in programming languages commonly used in data science, such as Python or R, and associated libraries (e.g., Pandas, NumPy, Scikit-learn, TensorFlow, PyTorch).
• Strong understanding of statistical modeling, machine learning algorithms, and data mining techniques.
• Experience with SQL and working with large databases.
• Familiarity with big data technologies (e.g., Spark, Hadoop) is a plus.
• Experience with data visualization tools (e.g., Tableau, Power BI, Matplotlib).
• Excellent analytical, problem-solving, and critical thinking skills.
• Strong communication and presentation skills.
• Ability to work effectively both independently and as part of a hybrid team.

Benefits

• Competitive salary with performance-based incentives.
• Comprehensive health, dental, and vision benefits.
• Hybrid work arrangement offering work-life balance.
• Generous paid time off and holidays.
• Professional development opportunities, including conferences and workshops.
• Access to cutting-edge data science tools and platforms.
• Collaborative work environment in Polokwane .
• Retirement savings plan.
• Employee wellness programs.