Senior Data Scientist (Machine Learning)

Placements24; Queenstown; On-site; NZD 140,000 - 200,000; Full time

Benefits offered by this job

Medical aid

Professional development

Performance bonuses

Job summary

Placements24 seeks a Senior Data Scientist in Queenstown to design and deploy predictive models using modern ML frameworks. You will work on large, diverse datasets and translate complex insights into actionable business decisions.

Requirements include a Master’s/PhD in a quantitative field, 5+ years of data science experience, proficiency in Python or R, and strong communication to present findings to stakeholders. This role offers impactful projects within a growing analytics firm.

Qualifications

• Master's or PhD in a quantitative field (e.g., CS, stats, math, physics, engineering).
• Minimum 5 years of data science experience with focus on ML.
• Proficient in Python or R and ML libraries/frameworks.
• Experience with large datasets and distributed computing (Spark/Hadoop).
• Strong data visualization and communication skills.

Responsibilities

• Design, develop, and deploy sophisticated ML models and algorithms.
• Process and transform large datasets for analysis and modeling.
• Perform explorative data analysis to identify insights.
• Deploy predictive models to address business needs (churn, fraud, forecasting).
• Collaborate with engineers to integrate models into production.
• Communicate findings clearly to technical and non-technical audiences.

Education

Master's or PhD in quantitative field

Tools

Python

R

TensorFlow

PyTorch

scikit-learn

Keras

Spark

Hadoop

SQL

Job description

About the Role

Our client, a cutting-edge analytics firm located in Queenstown, Eastern Cape, is seeking a highly analytical and innovative Senior Data Scientist with a specialization in Machine Learning. This role is critical in developing and deploying advanced predictive models and algorithms to solve complex business challenges. You will work with large datasets, leveraging your expertise in statistical modeling, machine learning techniques, and data visualization to extract actionable insights and drive data-informed decision-making. The Queenstown office offers a collaborative and intellectually stimulating environment. The ideal candidate will possess a strong academic background, a proven track record of applying ML to real-world problems, and excellent communication skills to convey findings to technical and non-technical stakeholders. This is an exceptional opportunity to contribute to impactful projects and advance your career in data science within a growing organization.

Key Responsibilities

• Design, develop, and implement sophisticated machine learning models and algorithms.
• Clean, process, and transform large, complex datasets for analysis and modeling.
• Perform exploratory data analysis to identify trends, patterns, and insights.
• Develop and deploy predictive models to address specific business needs (e.g., customer churn, fraud detection, forecasting).
• Evaluate and refine model performance, ensuring accuracy, efficiency, and scalability.
• Collaborate with engineers to integrate ML models into production systems.
• Communicate complex findings and recommendations clearly to technical and non-technical audiences through visualizations and presentations.
• Stay abreast of the latest advancements in machine learning, artificial intelligence, and data science.
• Mentor junior data scientists and contribute to the team's technical expertise.
• Contribute to data strategy and roadmap development.

Requirements

• Master's or Ph.D. in Computer Science, Statistics, Mathematics, Physics, Engineering, or a related quantitative field.
• Minimum of 5 years of experience in data science with a focus on machine learning.
• Strong proficiency in programming languages such as Python or R.
• Extensive experience with machine learning libraries and frameworks (e.g., TensorFlow, PyTorch, scikit-learn, Keras).
• Deep understanding of statistical modeling, algorithms, and data mining techniques.
• Experience working with large datasets and distributed computing frameworks (e.g., Spark, Hadoop).
• Proficiency in SQL and database management.
• Excellent data visualization skills.
• Strong analytical, problem-solving, and critical thinking abilities.
• Exceptional communication and presentation skills.

Benefits

• Our client offers a highly competitive salary, a comprehensive benefits package including medical aid, and substantial opportunities for professional development and research.
• The Queenstown office provides a state-of-the-art working environment.
• Employees enjoy generous paid time off, performance bonuses, and access to cutting-edge technology and data resources.
• Join a team of passionate data professionals committed to driving innovation and delivering impactful solutions.
• This role provides significant opportunities for career advancement within a leading analytics firm.