Data Scientist

Placements24; LegKraal Gate; Híbrido; ZAR 600.000 - 1.100.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Health insurance

Retirement savings plan

Paid time off

Conference attendance

Descripción de la vacante

Placements24 in Mahikeng, North West invites a seasoned Data Scientist to join a leading technology and analytics firm. You will build predictive models, perform experiments, and translate complex data into actionable insights for stakeholders.

The role requires a strong quantitative background, expertise in Python or R, and collaboration with cross-functional teams to drive data-driven decisions. Remote relocation is possible, with opportunities for professional growth in a dynamic environment.

Formación

• Master's or Ph.D. in Data Science, Computer Science, Statistics, Mathematics, or a related quantitative field.
• Minimum of 4 years of professional experience in data science or a related analytical role.
• Proficiency in Python or R and libraries like Pandas, NumPy, Scikit-learn, TensorFlow, PyTorch.
• Strong experience with SQL and database management.
• Experience with data visualization tools (Tableau, Power BI, Matplotlib, Seaborn).
• Familiarity with big data technologies (Spark, Hadoop) is a plus.
• Excellent analytical, problem-solving, and communication skills.
• Ability to work independently and collaboratively in a team environment.
• Must be able to work effectively from Mahikeng, North West or be willing to relocate.

Responsabilidades

• Collect, clean, and preprocess large datasets from various sources.
• Perform exploratory data analysis to identify patterns, trends, and anomalies.
• Develop, implement, and validate predictive models using machine learning algorithms (e.g., regression, classification, clustering).
• Design and conduct A/B tests and other experiments to evaluate model performance and business impact.
• Build data visualizations and dashboards to effectively communicate complex findings to technical and non-technical audiences.
• Collaborate with cross-functional teams (engineering, product, marketing) to understand business needs and translate them into data science solutions.
• Stay abreast of the latest advancements in data science, machine learning, and artificial intelligence.
• Develop and maintain documentation for data models, algorithms, and processes.
• Identify opportunities for process improvements and efficiency gains in data analysis workflows.
• Present findings and recommendations to senior management and stakeholders.

Conocimientos

Python/R

SQL

Statistical modeling

Machine learning

Data visualization

Communication

Educación

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

Herramientas

Pandas

NumPy

Scikit-learn

TensorFlow

PyTorch

Tableau

Power BI

Matplotlib

Seaborn

Spark

Descripción del empleo

About the Role

Our client, a leading technology and analytics firm, is seeking a highly skilled and innovative Data Scientist to join their growing team in Mahikeng, North West . This role involves leveraging advanced statistical techniques, machine learning algorithms, and data mining tools to extract actionable insights from large and complex datasets. You will be responsible for developing predictive models, designing experiments, and communicating findings to stakeholders to drive data-informed business decisions. The ideal candidate will possess a strong quantitative background, expertise in programming languages like Python or R, and a passion for solving challenging problems through data. This is an exciting opportunity to contribute to cutting-edge data initiatives within a dynamic environment in Mahikeng .

Key Responsibilities

• Collect, clean, and preprocess large datasets from various sources.
• Perform exploratory data analysis to identify patterns, trends, and anomalies.
• Develop, implement, and validate predictive models using machine learning algorithms (e.g., regression, classification, clustering).
• Design and conduct A/B tests and other experiments to evaluate model performance and business impact.
• Build data visualizations and dashboards to effectively communicate complex findings to technical and non-technical audiences.
• Collaborate with cross-functional teams (engineering, product, marketing) to understand business needs and translate them into data science solutions.
• Stay abreast of the latest advancements in data science, machine learning, and artificial intelligence.
• Develop and maintain documentation for data models, algorithms, and processes.
• Identify opportunities for process improvements and efficiency gains in data analysis workflows.
• Present findings and recommendations to senior management and stakeholders.

Requirements

• Master's or Ph.D. in Data Science, Computer Science, Statistics, Mathematics, or a related quantitative field.
• Minimum of 4 years of professional experience in data science or a related 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 experience with SQL and database management.
• Solid understanding of statistical modeling, machine learning algorithms, and data mining techniques.
• Experience with data visualization tools (e.g., Tableau, Power BI, Matplotlib, Seaborn).
• Familiarity with big data technologies (e.g., Spark, Hadoop) is a plus.
• Excellent analytical, problem-solving, and critical thinking skills.
• Strong communication and presentation skills.
• Ability to work independently and collaboratively in a team environment.
• Must be able to work effectively from Mahikeng, North West or be willing to relocate.

Benefits

Our client offers a competitive salary package, with remuneration up to ZAR per annum , based on skills and experience. Benefits include comprehensive health insurance, a retirement savings plan, paid time off, and opportunities for professional development and conference attendance. Join a team of innovative professionals dedicated to leveraging data for business success in Mahikeng .