Hybrid Lead Data Scientist — Strategy, Mentorship & Impact

Placements24; LegKraal Gate; Hybrid; ZAR 900,000 - 1,800,000; Full time

Benefits offered by this job

Executive salary bonus

Medical and retirement benefits

Hybrid work arrangement

Career growth opportunities

Job summary

Placements24 in Mahikeng seeks a seasoned Lead Data Scientist to spearhead data analytics initiatives, define data strategy, and drive data-driven decision-making across the organization.

You will mentor a team of data scientists and analysts, collaborate with departments to identify data opportunities, and ensure robust, scalable analytical solutions. A hybrid work arrangement is offered to support balance.

Qualifications

• Ph.D. or Master’s in Data Science, Statistics, Computer Science, or related quantitative field.
• 7+ years of experience in data science with leadership exposure.
• Expertise in statistical modeling, ML algorithms, and data mining techniques.
• Python or R and ML libraries (Scikit-learn, TensorFlow, PyTorch)
• Experience with big data tech (Spark, Hadoop) and databases.
• Strong analytical, problem-solving, and communication skills.

Responsibilities

• Lead the development and deployment of ML models and analytical solutions to address complex business problems.
• Define and execute the company's data science strategy and roadmap.
• Mentor and guide a team of data scientists and analysts, fostering innovation and technical excellence.
• Collaborate with stakeholders across departments to identify data needs and opportunities for analytics.
• Perform advanced statistical analysis, data mining, and predictive modeling using large datasets.
• Communicate complex findings and recommendations to both technical and non-technical audiences.

Skills

Data science leadership

Machine learning

Statistical modeling

Python

Big data

Communication

Education

Ph.D. in Data Science

Tools

Scikit-learn

TensorFlow

PyTorch

Spark

Job description

Placements24 in Mahikeng seeks a seasoned Lead Data Scientist to spearhead data analytics initiatives, define data strategy, and drive data-driven decision-making across the organization.

You will mentor a team of data scientists and analysts, collaborate with departments to identify data opportunities, and ensure robust, scalable analytical solutions. A hybrid work arrangement is offered to support balance.