Senior Data Scientist

Placements24; Randburg; Hybrid; ZAR 900,000 - 1,200,000; Full time

Benefits offered by this job

Annual bonus

Medical & retirement benefits

Professional development allowance

Hybrid work model

Advanced analytics tools access

Job summary

Placements24 is seeking an experienced Senior Data Scientist to join its AI and advanced analytics team in Randburg. You will lead models, analyze large datasets, and collaborate with product and engineering teams to drive data-driven decisions.

The role requires a PhD or master's in a quantitative field, 5+ years of data science experience, and strong Python or R skills, SQL proficiency, and a track record in experimental design.

Qualifications

• Master's or Ph.D. in Statistics, Data Science, Computer Science, or a related quantitative field.
• 5+ years of professional experience as a Data Scientist, with a strong background in AI/ML.
• Expertise in Python or R, including extensive use of libraries for data manipulation, analysis, and modeling.
• Proficiency in SQL and experience working with large databases.
• Strong understanding of experimental design and statistical inference.
• Excellent problem-solving skills and ability to thrive in a hybrid setting in Randburg.

Responsibilities

• Lead the design and implementation of complex statistical models and machine learning algorithms.
• Analyze large, diverse datasets to extract meaningful insights and identify business opportunities.
• Develop and deploy predictive models, ensuring their accuracy, scalability, and maintainability.
• Collaborate with product managers and engineers to translate data insights into product features and improvements.
• Communicate findings and recommendations effectively to both technical and executive audiences.
• Mentor junior data scientists and contribute to the team's technical best practices.

Skills

Python

R

SQL

ML/AI

Team collaboration

Education

Master's or Ph.D. in Statistics, Data Science, Computer Science, or related quantitative field

Tools

Jupyter

scikit-learn

TensorFlow/PyTorch

Job description

About the Role

Our client is seeking an experienced Senior Data Scientist to join their advanced analytics and AI team in Randburg. This role is pivotal in leveraging complex data to drive strategic decisions and develop innovative AI-driven solutions. You will lead data analysis initiatives, build sophisticated predictive models, and collaborate closely with cross-functional teams to deliver actionable insights. This is a prime opportunity for a seasoned professional passionate about data and AI to make a significant impact within a dynamic, hybrid work environment in Gauteng.

Key Responsibilities

• Lead the design and implementation of complex statistical models and machine learning algorithms.
• Analyze large, diverse datasets to extract meaningful insights and identify business opportunities.
• Develop and deploy predictive models, ensuring their accuracy, scalability, and maintainability.
• Collaborate with product managers and engineers to translate data insights into product features and improvements.
• Communicate findings and recommendations effectively to both technical and executive audiences.
• Mentor junior data scientists and contribute to the team's technical best practices.

Requirements

• Master's or Ph.D. in Statistics, Data Science, Computer Science, or a related quantitative field.
• 5+ years of professional experience as a Data Scientist, with a strong background in AI/ML.
• Expertise in Python or R, including extensive use of libraries for data manipulation, analysis, and modeling.
• Proficiency in SQL and experience working with large databases.
• Strong understanding of experimental design and statistical inference.
• Excellent problem-solving skills and ability to thrive in a hybrid setting in Randburg.

Benefits

• Highly competitive salary and annual bonus opportunities.
• Comprehensive medical, dental, and retirement benefits.
• Generous allowance for professional development, including conferences and training.
• Flexible working hours and a supportive hybrid work model.
• Access to advanced analytics tools and a collaborative, forward-thinking team.