Senior Data Scientist — ML Models (Hybrid/Remote)

Placements24; Mbombela (Nelspruit); Hybrid; ZAR 1,200,000 - 1,900,000; Full time

Benefits offered by this job

Health benefits

Retirement plan

Paid time off

Hybrid work environment

Training & conferences

Job summary

Placements24 in Nelspruit, Mpumalanga, is seeking a Senior Data Scientist to lead the development of machine learning models and predictive analytics. You will explore data, engineer features, and validate models, translating business needs into data solutions.

The role emphasizes collaboration with data engineers and business stakeholders, mentoring juniors, and deploying models to production. A strong background in statistics and ML, with Python or R, is required.

Qualifications

• Master's or PhD in Statistics, CS, Mathematics, or related field.
• 5+ years of professional experience in data science and ML.
• Proficiency in Python or R and ML libraries (scikit-learn, TensorFlow, PyTorch).
• Strong knowledge of statistical modeling and ML algorithms and metrics.
• Experience with Spark/Hadoop and SQL/NoSQL databases.
• Excellent analytical, problem-solving, and critical thinking abilities.
• Strong communication and presentation skills.

Responsibilities

• Design and implement ML models to address business problems.
• Perform data wrangling and exploratory data analysis.
• Evaluate modeling techniques and select best methods.
• Deploy models to production and monitor performance.
• Collaborate with cross-functional teams to translate requirements.
• Communicate findings to technical and non-technical audiences.
• Mentor junior data scientists and contribute to knowledge base.

Skills

Python

R

Statistical modeling

ML algorithms

Data wrangling

Big data

Spark

Hadoop

SQL

NoSQL

Communication

Presentation

Education

Master's degree in Statistics/CS/Math

PhD in a quantitative field

Tools

scikit-learn

TensorFlow

PyTorch

Spark

Hadoop

SQL

NoSQL

Job description

Placements24 in Nelspruit, Mpumalanga, is seeking a Senior Data Scientist to lead the development of machine learning models and predictive analytics. You will explore data, engineer features, and validate models, translating business needs into data solutions.

The role emphasizes collaboration with data engineers and business stakeholders, mentoring juniors, and deploying models to production. A strong background in statistics and ML, with Python or R, is required.