Senior Data Scientist (Machine Learning)

Placements24; Richards Bay; Hybrid; ZAR 900.000 - 1.500.000; Vollzeit

Benefits dieser Stelle

Competitive salary

Bonus structure

Medical aid

Retirement benefits

Hybrid work model

Zusammenfassung

Placements24 is seeking a Senior Data Scientist with expertise in machine learning to join their analytics team in Richards Bay, KwaZulu-Natal. This hybrid role offers the opportunity to build predictive models from large datasets and translate insights into strategic business decisions.

The ideal candidate has a master's or PhD in a quantitative field, 5+ years of data science experience, strong programming skills in Python or R, and experience with SQL, visualization tools, and cloud

Qualifikationen

• Master's or Ph.D. in Computer Science, Statistics, Mathematics, or a related quantitative field, or equivalent practical experience.
• Minimum of 5 years of experience in data science, with a strong focus on machine learning and statistical modeling.
• Proficiency in Python or R, and libraries such as scikit-learn, TensorFlow, PyTorch, pandas, NumPy.
• Strong SQL skills and experience with large datasets.
• Experience with data visualization tools and techniques.
• Ability to translate business problems into quantitative frameworks.
• Excellent communication and interpersonal skills.

Aufgaben

• Develop, implement, and deploy machine learning models to solve complex business problems (forecasting, anomaly detection, optimization).
• Perform data mining, feature engineering, and statistical analysis on large datasets.
• Design and conduct A/B tests and experiments to evaluate model performance and impact.
• Collaborate with cross-functional teams to define requirements and deliver solutions.
• Communicate complex findings to technical and non-technical audiences.
• Stay updated on ML, data science, and AI advancements.
• Mentor junior data scientists and share knowledge.

Kenntnisse

Machine Learning

Python/R

SQL

Data Visualization

Communication

Ausbildung

Master's/PhD in CS/Statistics/Math

Tools

scikit-learn

TensorFlow

PyTorch

pandas

NumPy

Jobbeschreibung

About the Role

Our client, a pioneering force in the energy sector, is seeking an exceptional Senior Data Scientist with expertise in Machine Learning to join their advanced analytics team. This role is based in Richards Bay, KwaZulu-Natal, offering a hybrid work model. You will be at the forefront of leveraging vast datasets to build sophisticated predictive models, uncover actionable insights, and drive strategic decision-making within the organization. The ideal candidate possesses a strong statistical background, advanced programming skills, and a proven ability to translate complex data challenges into impactful business solutions. This is an unparalleled opportunity to contribute to a critical industry and shape its technological future from the scenic coastal city of Richards Bay.

Key Responsibilities

• Develop, implement, and deploy machine learning models to solve complex business problems, such as forecasting, anomaly detection, and optimization.
• Perform data mining, feature engineering, and statistical analysis on large and complex datasets.
• Design and conduct A/B tests and other experiments to evaluate model performance and business impact.
• Collaborate with cross-functional teams, including engineers, domain experts, and business stakeholders, to define project requirements and deliver solutions.
• Communicate complex findings and recommendations clearly and effectively to both technical and non-technical audiences.
• Stay abreast of the latest advancements in machine learning, data science, and artificial intelligence.
• Mentor junior data scientists and contribute to the team's knowledge sharing and best practices.
• Ensure the ethical and responsible use of data and algorithms.

Requirements

• Master's or Ph.D. in Computer Science, Statistics, Mathematics, or a related quantitative field, or equivalent practical experience.
• Minimum of 5 years of experience in data science, with a strong focus on machine learning and statistical modeling.
• Proficiency in programming languages such as Python or R, and experience with relevant libraries (e.g., scikit-learn, TensorFlow, PyTorch, pandas, NumPy).
• Strong experience with SQL and working with large datasets.
• Experience with data visualization tools and techniques.
• Proven ability to translate business problems into quantitative frameworks.
• Excellent communication and interpersonal skills, with the ability to explain complex technical concepts to diverse audiences.
• Experience in cloud environments (e.g., AWS, Azure, GCP) is a plus.

Benefits

Our client provides a competitive salary, an attractive bonus structure, comprehensive medical aid, and retirement benefits. Employees benefit from a supportive work environment with opportunities for continuous learning and professional development. This hybrid role, based in Richards Bay, KwaZulu-Natal, offers a balance between remote flexibility and in-office collaboration, along with access to the beautiful coastal lifestyle the region offers.