Senior Data Scientist - Advanced Analytics

Placements24; Stellenbosch; On-site; ZAR 1,200,000 - 1,800,000; Full time

Benefits offered by this job

Competitive salary

Medical aid

Retirement fund contributions

Performance-based bonuses

Professional development

Job summary

Placements24 in Stellenbosch, Western Cape, seeks a Senior Data Scientist to lead advanced analytics initiatives, develop statistical models, and translate business challenges into data-driven solutions. You will mentor junior data scientists and collaborate with stakeholders across the organization in a dynamic R&D environment.

The role offers exposure to big datasets, cutting-edge tools (Python, R, TensorFlow, Spark), and opportunities to shape the data science function while delivering

Qualifications

• PhD or Master's degree in Statistics, Mathematics, Computer Science, Economics, or related quantitative field.
• Minimum of 6 years of professional experience as a Data Scientist or in a similar analytical role.
• Proven expertise in statistical modeling, machine learning, and data mining techniques.
• Proficiency in Python or R and libraries such as scikit‑learn, TensorFlow, PyTorch, statsmodels.
• Experience with SQL and database management systems.
• Strong data visualization skills using Tableau, Power BI, or Matplotlib/Seaborn.
• Demonstrated ability to lead projects and mentor junior team members.
• Excellent communication and presentation skills to explain complex concepts.

Responsibilities

• Lead design and implementation of advanced statistical models and ML algorithms.
• Analyze large datasets to identify trends, patterns, and insights.
• Develop predictive models, clustering, and anomaly detection systems.
• Collaborate with stakeholders to translate needs into data science projects.
• Design and execute A/B tests and experiments to validate hypotheses.
• Create data visualizations and dashboards to communicate findings.
• Mentor junior data scientists and foster analytical growth.
• Stay current with data science and AI advancements.
• Ensure data quality, integrity, and reliability for analysis.
• Contribute to strategic direction of the data science function.

Skills

Statistical modeling

Machine learning

Data mining

Python

R

SQL

Data visualization

Leadership

Communication

Education

PhD or Master's in Statistics/Math/CS/Economics or related field

Tools

scikit-learn

TensorFlow

PyTorch

Statsmodels

Tableau

Power BI

Matplotlib/Seaborn

Spark

Hadoop

Job description

About the Role

Our client, a leader in cutting-edge data analytics and business intelligence, is seeking a highly experienced Senior Data Scientist to join their innovative R&D department in Stellenbosch, Western Cape . This role is pivotal in driving data-driven decision-making across the organization by developing sophisticated analytical models, uncovering deep insights from complex datasets, and communicating findings to stakeholders. The ideal candidate will possess a strong foundation in statistical modeling, machine learning, and data mining techniques, combined with a proven ability to translate business challenges into analytical solutions. You will be responsible for leading complex analytical projects, mentoring junior data scientists, and staying at the forefront of analytical methodologies. This position offers a unique opportunity to work with diverse data sources, cutting-edge tools, and a collaborative team of experts in a region renowned for its innovation and academic excellence. Working in Stellenbosch, Western Cape , provides access to a vibrant talent pool and a stimulating research environment.

Key Responsibilities

• Lead the design and implementation of advanced statistical models and machine learning algorithms.
• Explore and analyze large, complex datasets to identify trends, patterns, and actionable insights.
• Develop predictive models, clustering algorithms, and anomaly detection systems.
• Collaborate with business stakeholders to understand their needs and translate them into data science projects.
• Design and execute A/B tests and other experimental designs to validate hypotheses.
• Develop data visualizations and dashboards to communicate findings effectively.
• Mentor and guide junior data scientists, fostering their technical and analytical growth.
• Stay abreast of the latest advancements in data science, machine learning, and AI.
• Ensure the quality, integrity, and reliability of data used for analysis.
• Contribute to the strategic direction of the data science function within the company.

Requirements

• Ph.D. or Master's degree in Statistics, Mathematics, Computer Science, Economics, or a related quantitative field.
• Minimum of 6 years of professional experience as a Data Scientist or in a similar analytical role.
• Proven expertise in statistical modeling, machine learning, and data mining techniques.
• Proficiency in programming languages such as Python or R, and relevant libraries (e.g., scikit‑learn, TensorFlow, PyTorch, statsmodels).
• Experience with SQL and database management systems.
• Strong data visualization skills using tools like Tableau, Power BI, or Matplotlib/Seaborn.
• Demonstrated ability to lead projects and mentor junior team members.
• Excellent communication and presentation skills, with the ability to explain complex technical concepts to non-technical audiences.
• Experience with big data technologies (e.g., Spark, Hadoop) is a plus.
• Strong analytical and problem‑solving abilities.

Benefits

• Our client offers a highly competitive salary, comprehensive medical aid, retirement fund contributions, and performance-based bonuses.
• We provide significant opportunities for professional development, including access to specialized training, conferences, and academic collaborations.
• Employees benefit from a stimulating work environment in the heart of Stellenbosch, Western Cape , renowned for its research and innovation.
• Additional perks include generous annual leave, flexible working arrangements, and a company culture that values collaboration and continuous learning.
• Join a team that is at the forefront of data science and making a real impact.