Data Scientist

Placements24; Queenstown; Hybrid; NZD 90,000 - 130,000; Full time

Benefits offered by this job

Fully remote work

Competitive salary

Health, dental & vision insurance

Generous paid time off

Professional development opportunities

Home office stipend

Job summary

Placements24 is seeking a Data Scientist to join their analytics team. You will extract insights from large datasets, develop predictive models, and contribute to strategic decisions using Python or R, SQL, and modern visualization tools. The role combines rigorous analysis with clear communication to stakeholders.

This is a fully remote position with flexible collaboration across departments. A strong quantitative background and the ability to explain complex concepts are essential.

Qualifications

• Proven experience as a Data Scientist or in a similar analytical role.
• Strong understanding of statistical modeling and ML algorithms.
• Proficiency in Python or R with relevant libraries.
• Experience with SQL and relational databases.
• Familiarity with data visualization tools such as Tableau or Power BI.
• Excellent analytical, problem-solving, and communication skills.

Responsibilities

• Collect, clean, and transform large datasets from multiple sources.
• Develop, test, and deploy ML models for predictive analytics.
• Analyze data to identify trends and communicate findings to stakeholders.
• Design experiments to validate model performance and hypotheses.
• Build data visualizations and dashboards to communicate insights.
• Collaborate with business stakeholders to translate data problems.
• Stay current with data science advancements and best practices.
• Document methodologies, code, and findings.

Skills

Data science

Machine learning

Python

R

SQL

Data visualization

Communication

Education

Master's in a quantitative field

Tools

Pandas

NumPy

Scikit-learn

TensorFlow

PyTorch

Tableau / Power BI

Job description

About the Role

Our client, a leader in data-driven business intelligence, is seeking a talented and analytical Data Scientist to join their innovative team. This role offers the exciting opportunity to extract meaningful insights from complex datasets, develop predictive models, and contribute to strategic decision-making. You will leverage advanced statistical techniques and machine learning algorithms to solve challenging business problems. The ideal candidate possesses a strong quantitative background, expertise in programming languages like Python or R, and a passion for uncovering patterns and driving data-informed strategies. This position involves working closely with various departments to understand their data needs and deliver actionable recommendations. We are looking for a curious and proactive individual who is eager to make a significant impact through data science, with the flexibility of a remote work arrangement.

Key Responsibilities

• Collect, clean, and transform large, complex datasets from various sources.
• Develop, test, and deploy machine learning models and statistical algorithms for predictive analytics and forecasting.
• Analyze data to identify trends, patterns, and correlations, and communicate findings to stakeholders.
• Design and conduct experiments to test hypotheses and validate model performance.
• Build data visualizations and dashboards to effectively communicate insights and results.
• Collaborate with business stakeholders to understand their challenges and translate them into data science problems.
• Stay current with the latest advancements in data science, machine learning, and artificial intelligence.
• Document methodologies, code, and findings thoroughly.
• Contribute to the development of data infrastructure and best practices.

Requirements

• Proven experience as a Data Scientist or in a similar analytical role.
• Strong understanding of statistical modeling, machine learning algorithms, and data mining techniques.
• Proficiency in programming languages such as Python or R, including relevant libraries (e.g., Pandas, NumPy, Scikit-learn, TensorFlow, PyTorch).
• Experience with SQL and working with relational databases.
• Familiarity with data visualization tools (e.g., Tableau, Power BI, Matplotlib).
• Excellent analytical and problem-solving skills.
• Strong communication and presentation skills, with the ability to explain complex technical concepts to non-technical audiences.
• Master's or Ph.D. in a quantitative field such as Computer Science, Statistics, Mathematics, Physics, or a related discipline.
• Experience with big data technologies (e.g., Spark, Hadoop) is a plus.

Benefits

• Competitive salary and performance-based bonuses.
• Fully remote work opportunity.
• Comprehensive health, dental, and vision insurance.
• Generous paid time off.
• Opportunities for professional development and attending conferences.
• Access to cutting-edge data science tools and platforms.
• A collaborative and intellectually stimulating work environment.
• Home office stipend.