Senior Data Scientist

Bebeedatascience; Johannesburg; On-site; ZAR 700 000 - 900 000; Full time

Job summary

A leading data science company in Johannesburg is seeking a dynamic individual for an advanced data science role. The successful candidate will be responsible for developing cutting-edge analytical models and collaborating with cross-functional teams. Ideal applicants must demonstrate expertise in machine learning, statistics, strong programming skills in Python or R, and familiarity with big data tools like Spark. A Master’s or Ph.D. in a relevant field is required, along with desirable certifications in Machine Learning or Data Analytics.

Qualifications

• Advanced knowledge of machine learning algorithms.
• Strong programming skills in Python or R.
• Experience with big data tools (Spark).

Responsibilities

• Develop advanced statistical models utilizing expertise in machine learning and statistics.
• Collaborate with cross-functional teams to design comprehensive data science solutions.

Skills

Machine learning algorithms

Programming in Python

Programming in R

Experience with Spark

Education

Master’s or Ph.D. in Data Science, Computer Science, or Statistics

Relevant certifications in Machine Learning or Data Analytics

Job description

Job Title

An Advanced Data Science Role

This position involves the development of cutting‑edge analytical models and algorithms. The successful candidate will be an expert in machine learning, statistics, and data analysis.

They will have a deep understanding of programming languages such as Python and R, and experience working with big data tools like Spark.

Key Responsibilities

• Develop advanced statistical models utilizing expertise in machine learning and statistics to build complex models that drive business value.
• Collaborate with cross‑functional teams, using strong communication skills to design comprehensive data science solutions.

Required Skills

• Advanced knowledge of machine learning algorithms.
• Strong programming skills in Python or R.
• Experience with big data tools (Spark).
• A Master’s or Ph.D. in Data Science, Computer Science, Statistics, or a related field.
• Relevant certifications in Machine Learning or Data Analytics are highly desirable.

An ideal candidate will have extensive knowledge of AI/ML concepts including supervised and unsupervised learning.