Data Scientist - Big Data Analytics

Placements24; Mtubatuba Local Municipality; Hybrid; ZAR 700,000 - 1,100,000; Full time

Benefits offered by this job

Bonuses

Medical & Pension benefits

Learning & Development

Cutting-edge tools

Job summary

Placements24 is seeking a Data Scientist in Richards Bay, KwaZulu-Natal, for a hybrid role within the analytics division. You will design and deploy statistical and machine learning models, perform deep-dive analyses, and communicate insights to stakeholders.

A strong statistical background, programming skills, and passion for pattern discovery are essential. You will work across data pipelines, collaborate with business units, and contribute to a data-driven culture while leveraging tools like

Qualifications

• Master's or PhD in Statistics, Mathematics, Computer Science, Data Science or related discipline
• 3+ years as a Data Scientist with predictive modeling experience
• Proficiency in Python and R with common data-science libraries
• Experience with big data tech such as Spark, Hadoop, Hive
• Strong statistical modeling, ML algorithms, and data-mining knowledge
• SQL and database management experience
• Data visualization using Tableau/Power BI and related tools
• Excellent analytical, problem-solving and communication skills

Responsibilities

• Design, build, and deploy statistical and ML models for business problems
• Perform EDA on large, diverse datasets to identify insights
• Clean and preprocess data from various sources for analysis
• Develop data mining techniques to extract valuable information
• Collaborate with business units to define DS projects
• Visualize data and present findings to technical and non-technical audiences
• Develop and maintain data pipelines and analytical workflows
• Stay updated with latest data-science advancements

Skills

Statistical modeling

Machine learning

Analytical thinking

Data storytelling

Education

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

Tools

Python

R

Spark

Hadoop

Hive

Tableau

Power BI

Matplotlib

Seaborn

Job description

About the Role

Our client, a leading industrial conglomerate in Richards Bay, KwaZulu-Natal, is seeking an insightful Data Scientist to join their expanding analytics division. This role is pivotal in leveraging big data to drive business insights, optimize operations, and foster data-driven decision-making across the organization. You will be responsible for developing sophisticated analytical models, conducting deep-dive analyses, and communicating findings to key stakeholders. This is a hybrid position, offering a balanced approach to remote work and in-office collaboration within our Richards Bay, KwaZulu-Natal facilities. We are looking for an individual with a strong statistical background, excellent programming skills, and a passion for uncovering patterns and trends within complex datasets. Become a key player in transforming raw data into strategic business assets.

Key Responsibilities

• Design, build, and deploy statistical and machine learning models to address complex business problems.


• Perform exploratory data analysis (EDA) on large, diverse datasets to identify trends, patterns, and actionable insights.


• Clean, transform, and preprocess data from various sources to ensure data quality and suitability for analysis.


• Develop and implement data mining techniques and algorithms to extract valuable information.


• Collaborate with business units to understand their challenges and define data science projects to meet their needs.


• Visualize data and present complex analytical findings in a clear, concise, and understandable manner to both technical and non-technical audiences.


• Develop and maintain data pipelines and analytical workflows.


• Stay abreast of the latest advancements in data science, machine learning, and big data technologies.


• Contribute to the development of a data-driven culture within the organization.

Requirements

• Master's or Ph.D. degree in a quantitative field such as Statistics, Mathematics, Computer Science, Data Science, or a related discipline.


• Proven experience (3+ years) as a Data Scientist, with a strong portfolio demonstrating success in building predictive models and deriving insights from large datasets.


• Proficiency in programming languages commonly used in data science, such as Python (with libraries like Pandas, NumPy, Scikit-learn, TensorFlow/PyTorch) and R.


• Experience with big data technologies and platforms (e.g., Spark, Hadoop, Hive).


• Strong understanding of statistical modeling, machine learning algorithms, and data mining techniques.


• Experience with SQL and database management.


• Proficiency in data visualization tools (e.g., Tableau, Power BI, Matplotlib, Seaborn).


• Excellent analytical, problem-solving, and critical thinking skills.


• Strong communication and collaboration abilities, comfortable working in a hybrid environment.

Benefits

• Competitive remuneration package with performance bonuses.


• Comprehensive medical and pension benefits.


• Opportunities for continuous learning and professional development.


• Access to cutting-edge data analytics tools and technologies.


• Hybrid work model offering flexibility.


• Engaging projects with tangible business impact in Richards Bay, KwaZulu-Natal.


• Supportive and collaborative team environment.