Senior Data Scientist - Business Intelligence & Analytics

Placements24; Randburg; Hybrid; ZAR 900,000 - 1,300,000; Full time

Benefits offered by this job

Competitive salary

Performance-based bonuses

Medical and retirement benefits

Generous paid time off

Hybrid work in Randburg

Job summary

Placements24 is seeking a Senior Data Scientist to join its Business Intelligence and Analytics division in Randburg, Gauteng. You will leverage advanced statistical and ML techniques to extract insights from complex data and influence strategic decisions.

The role requires strong data science fundamentals, programming skills, and a proven ability to translate data into business intelligence. You will design predictive models, build ETL pipelines, visualize results, mentor junior data

Qualifications

• Master’s or PhD in Computer Science, Statistics, Mathematics, Data Science, or related quantitative field.
• Minimum of 5 years of professional experience in data science, ML, or advanced analytics.
• Proficiency in Python and R with data science libraries.
• Strong SQL experience for data extraction/manipulation.
• Expertise in statistical modeling, ML algorithms, and experimental design.
• Experience with data visualization tools (Tableau, Power BI, Matplotlib, Seaborn).
• Familiarity with Spark, Hadoop and cloud platforms (AWS, Azure, GCP).
• Excellent analytical, problem-solving, and communication skills.
• Proven ability to work independently and in teams.

Responsibilities

• Design, develop, and implement predictive models and ML algorithms to solve complex business problems.
• Analyze large structured and unstructured datasets to identify trends and insights.
• Develop and deploy data pipelines for ETL processes.
• Collaborate with cross-functional teams to define data needs and deliver solutions.
• Create compelling data visualizations and dashboards communicating findings.
• Conduct A/B testing and experiments to evaluate business initiatives.
• Stay updated with advances in data science and AI.
• Mentor junior data scientists and contribute to team growth.
• Ensure data quality, privacy compliance, and governance.
• Contribute to data infrastructure and analytics platforms.

Skills

Python/R programming

SQL

Statistics/ML

Data Visualization

Big Data

Cloud Platforms

Experimentation

Communication

Education

Master's or PhD in CS/Statistics/Data Science

Tools

Tableau

Power BI

Matplotlib

Seaborn

Spark

Hadoop

TensorFlow

PyTorch

Job description

About the Role

Our client, a dynamic and innovative technology firm, is seeking a highly skilled and motivated Senior Data Scientist to join their expanding Business Intelligence and Analytics division in Randburg, Gauteng . This role is instrumental in leveraging advanced statistical and machine learning techniques to extract valuable insights from complex datasets, driving strategic business decisions. The ideal candidate will possess a strong foundation in data science methodologies, excellent programming skills, and a proven ability to translate data into actionable business intelligence. You will play a key role in shaping data-driven strategies and contributing to the company's competitive advantage.

Key Responsibilities

• Design, develop, and implement predictive models and machine learning algorithms to solve complex business problems.
• Analyze large, structured, and unstructured datasets to identify trends, patterns, and actionable insights.
• Develop and deploy data pipelines for data extraction, transformation, and loading (ETL).
• Collaborate with cross-functional teams, including product managers, engineers, and business stakeholders, to understand data needs and deliver solutions.
• Create compelling data visualizations and dashboards to communicate complex findings effectively to both technical and non-technical audiences.
• Conduct A/B testing and other experimental designs to evaluate the impact of business initiatives.
• Stay current with the latest advancements in data science, machine learning, and artificial intelligence.
• Mentor junior data scientists and contribute to the team's technical growth.
• Ensure data quality, integrity, and adherence to privacy regulations.
• Contribute to the development and enhancement of the company's data infrastructure and analytics platforms.

Requirements

• Master’s or PhD in Computer Science, Statistics, Mathematics, Data Science, or a related quantitative field.
• Minimum of 5 years of professional experience in data science, machine learning, or advanced analytics.
• Proficiency in programming languages commonly used in data science, such as Python (with libraries like Pandas, NumPy, Scikit-learn, TensorFlow, PyTorch) and R.
• Strong experience with SQL for data extraction and manipulation.
• Expertise in 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, Matplotlib, Seaborn).
• Familiarity with big data technologies (e.g., Spark, Hadoop) and cloud platforms (e.g., AWS, Azure, GCP) is a plus.
• Excellent analytical, problem-solving, and critical thinking skills.
• Strong communication and presentation skills, with the ability to explain complex technical concepts clearly.
• Proven ability to work both independently and collaboratively in a team environment.

Benefits

• Our client offers a highly competitive salary, performance-based bonuses, comprehensive medical and retirement benefits, and generous paid time off.
• This hybrid role provides the flexibility to balance remote work with on-site collaboration at our modern offices in Randburg . Employees will have access to state-of-the-art tools and technologies, opportunities for professional growth, and the chance to work on impactful projects that drive business innovation.
• Join a forward-thinking team dedicated to pushing the boundaries of data science.