Senior Data Scientist

Placements24; Queenstown; Hybrid; NZD 120,000 - 170,000; Full time

Benefits offered by this job

Hybrid work model

Advanced analytics tools

Professional development

Medical aid

Retirement fund

Annual leave

Job summary

Placements24 is seeking a highly analytical Senior Data Scientist to join our Queenstown analytics team. You will own the full data science lifecycle, from data preparation to model deployment, collaborating with engineering and product teams in a hybrid Queenstown office.

The ideal candidate has 5+ years of experience, a Master’s/PhD in a quantitative field, and strong Python or R skills with ML libraries. Excellent communication skills and a results-driven mindset are essential.

Qualifications

• Master's or Ph.D. in Data Science, Statistics, Computer Science, Mathematics, or a related quantitative field.
• Minimum of 5 years of professional experience in data science or a related analytical role.
• Strong proficiency in Python or R.
• Extensive experience with machine learning libraries and frameworks (e.g., Scikit-learn, TensorFlow, PyTorch).
• Proficiency in SQL and experience working with relational and NoSQL databases.
• Experience with data visualization tools (e.g., Tableau, Power BI, Matplotlib, Seaborn).
• Familiarity with big data technologies (e.g., Spark, Hadoop) is a plus.

Responsibilities

• Identify business challenges and opportunities that can be addressed through data science.
• Collect, clean, and preprocess large, complex datasets from various sources.
• Perform exploratory data analysis to uncover trends, patterns, and anomalies.
• Develop, train, and validate machine learning models for predictive and prescriptive analytics.
• Design and implement A/B tests and other experimental designs to measure impact.
• Visualize data and model results using advanced techniques and tools.
• Communicate complex findings and recommendations clearly to stakeholders through reports and presentations.
• Collaborate with engineering and product teams to deploy models into production environments.
• Stay current with the latest advancements in data science, machine learning, and artificial intelligence.
• Mentor junior data scientists and contribute to the team's technical growth.

Skills

Python

R

Statistical modeling

Experiment design

Data visualization

Communication

Education

Master's or PhD in Data Science/Statistics/CS/Math

Tools

Scikit-learn

TensorFlow

PyTorch

Tableau

Power BI

Matplotlib

Seaborn

Spark

Hadoop

Job description

About the Role

Our client is seeking a highly analytical and experienced Senior Data Scientist to join their cutting-edge analytics team in Queenstown, Eastern Cape . This role is crucial in leveraging complex datasets to derive actionable insights, build predictive models, and drive data-informed decision-making across the organization. You will be responsible for the full data science lifecycle, from data exploration and feature engineering to model development, validation, and deployment. The ideal candidate possesses a strong background in statistical modeling, machine learning, and data visualization, coupled with excellent communication skills to present findings to both technical and non-technical audiences. This is an exciting opportunity to contribute to advanced analytics initiatives and shape the future of data utilization within a forward-thinking company. The position is based in our Queenstown office with a hybrid work arrangement.

Key Responsibilities

• Identify business challenges and opportunities that can be addressed through data science.
• Collect, clean, and preprocess large, complex datasets from various sources.
• Perform exploratory data analysis to uncover trends, patterns, and anomalies.
• Develop, train, and validate machine learning models for predictive and prescriptive analytics.
• Design and implement A/B tests and other experimental designs to measure impact.
• Visualize data and model results using advanced techniques and tools.
• Communicate complex findings and recommendations clearly to stakeholders through reports and presentations.
• Collaborate with engineering and product teams to deploy models into production environments.
• Stay current with the latest advancements in data science, machine learning, and artificial intelligence.
• Mentor junior data scientists and contribute to the team's technical growth.

Requirements

• Master's or Ph.D. in Data Science, Statistics, Computer Science, Mathematics, or a related quantitative field.
• Minimum of 5 years of professional experience in data science or a related analytical role.
• Strong proficiency in programming languages commonly used in data science, such as Python or R.
• Extensive experience with machine learning libraries and frameworks (e.g., Scikit-learn, TensorFlow, PyTorch).
• Expertise in statistical modeling, hypothesis testing, and experimental design.
• Proficiency in SQL and experience working with relational and NoSQL databases.
• Experience with data visualization tools (e.g., Tableau, Power BI, Matplotlib, Seaborn).
• Familiarity with big data technologies (e.g., Spark, Hadoop) is a plus.
• Excellent problem-solving, analytical, and critical thinking skills.
• Strong communication and presentation skills, with the ability to explain technical concepts to non-technical audiences.

Benefits

• Highly competitive salary package, commensurate with experience and qualifications.
• Hybrid work model offering flexibility and a balance between office and remote work.
• Opportunity to work on challenging and impactful data science projects in Queenstown .
• Access to advanced analytics tools and technologies.
• Professional development and continuous learning opportunities.
• Comprehensive medical aid and retirement fund benefits.
• Generous annual leave and company holidays.
• Collaborative and intellectually stimulating work environment.