Senior Data Scientist

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

Benefits offered by this job

Competitive salary

Fully remote

Health benefits

Professional development budget

Distributed team

Job summary

Placements24 in South Africa is seeking a highly analytical Senior Data Scientist to join our fully remote team. You will build and deploy advanced machine learning models, run experiments, and translate complex data into actionable business insights for stakeholders across our organization.

Requirements include a Master's or PhD in a quantitative field, 5+ years of experience, proficiency in Python or R and SQL, and excellent communication skills.

Qualifications

• Master's or PhD in a quantitative field (e.g., CS, Stats, Math, Physics).
• 5+ years of professional data science experience.
• Proficiency in Python or R and libraries (scikit-learn, TensorFlow, PyTorch).
• Strong SQL and data manipulation skills.

Responsibilities

• Develop, implement, and deploy ML models and statistical analyses to solve business problems.
• Explore large datasets to identify trends and insights.
• Design and run A/B tests and experiments for product features and marketing.
• Communicate findings clearly to technical and non-technical stakeholders with visuals.
• Collaborate with engineering to integrate models into production data pipelines.
• Mentor junior data scientists and advance data science practices in a remote setup.

Skills

Statistical modeling

Machine learning

Python

R

SQL

Data visualization

Education

Master's/PhD in quantitative field

Tools

scikit-learn

TensorFlow

PyTorch

Pandas

Job description

About the Role

Our client is seeking a highly analytical and experienced Senior Data Scientist to join their fully remote team. This pivotal role involves leveraging advanced statistical and machine learning techniques to extract actionable insights from complex datasets, driving strategic decision-making across the organization. You will be instrumental in developing predictive models, designing experiments, and communicating findings to both technical and non-technical stakeholders. This is an exceptional opportunity for a seasoned professional to make a significant impact in a data-driven company that values innovation and remote collaboration, working with diverse data sources and cutting-edge tools from anywhere in South Africa .

Key Responsibilities

• Develop, implement, and deploy sophisticated machine learning models and statistical analyses to solve complex business problems.
• Explore and analyze large, complex datasets to identify trends, patterns, and actionable insights.
• Design and execute A/B tests and other experiments to evaluate product features and marketing initiatives.
• Communicate complex findings and recommendations clearly and concisely to technical and non-technical stakeholders through compelling visualizations and presentations.
• Collaborate with engineering teams to integrate data science models into production systems and data pipelines.
• Mentor junior data scientists and contribute to the advancement of our client's data science capabilities and best practices, thriving in a remote environment.

Requirements

• Master's or PhD degree in a quantitative field such as Computer Science, Statistics, Mathematics, Physics, or equivalent experience.
• 5+ years of professional experience in data science or a related analytical role.
• Proficiency in programming languages commonly used in data science, such as Python or R, and their associated libraries (e.g., scikit-learn, TensorFlow, PyTorch).
• Strong experience with SQL and data manipulation techniques.
• Deep understanding of statistical modeling, machine learning algorithms, and experimental design.
• Excellent communication and presentation skills, with the ability to explain technical concepts to a non-technical audience.

Benefits

• Highly competitive salary, commensurate with experience and expertise.
• Fully remote position offering maximum flexibility and work-life balance.
• Comprehensive health and wellness benefits package.
• Generous budget for professional development, conferences, and learning resources.
• Opportunity to work on challenging problems with a talented, distributed team and influence strategic decisions from Paarl to our global operations.