Are you a skilled Data Scientist seeking an exciting contracting opportunity in Wellington, New Zealand? RecNZ, a renowned recruitment agency, is collaborating with one of its leading clients to find talented professionals like you. If you have a strong background in data analysis, machine learning, and statistical modeling, this contractor role is the perfect fit for you.
As a Data Scientist, your skills and responsibilities will include:
Data Analysis and Modeling: Analyze large, complex datasets to extract insights and identify trends. Apply advanced statistical techniques and predictive modeling to develop accurate and actionable data models.
Machine Learning: Develop and implement machine learning algorithms to automate processes, improve efficiency, and drive business outcomes. Utilize techniques such as clustering, classification, regression, and recommendation systems to extract value from data.
Data Visualization: Communicate findings and results effectively through data visualization techniques. Create informative and visually appealing dashboards, reports, and presentations to present data-driven insights to stakeholders.
Data Cleaning and Preprocessing: Cleanse and preprocess data to ensure accuracy, consistency, and integrity. Handle missing data, outliers, and noise effectively to optimize the quality of datasets for analysis.
Programming and Software Development: Utilize programming languages such as Python, R, or SQL to manipulate, analyze, and extract insights from data. Develop software tools and scripts to automate data processing tasks.
Collaborative Problem-Solving: Collaborate with cross-functional teams, including analysts, engineers, and business stakeholders, to define business problems and develop data-driven solutions. Communicate technical concepts to non-technical audiences effectively.
Model Evaluation and Optimization: Evaluate the performance of data models and refine them to enhance accuracy and efficiency. Employ techniques such as cross-validation, A/B testing, and feature selection to optimize models for real-world applications.
Data Security and Privacy: Ensure compliance with data security and privacy regulations. Implement best practices to protect sensitive data and maintain confidentiality.
Continuous Learning and Development: Stay updated with the latest advancements in data science, machine learning, and related technologies. Continuously enhance your skills and knowledge to drive innovation and deliver optimal solutions.
Bachelor's or master's degree in data science, computer science, statistics, or a related field. Advanced certifications are a plus.
Proven experience as a Data Scientist, demonstrating a strong understanding of data analysis, statistical modeling, and machine learning.
Proficiency in programming languages such as Python, R, or SQL, along with experience using data manipulation and analysis libraries (e.g., pandas, NumPy, scikit-learn).
Strong knowledge of statistical techniques and machine learning algorithms.
Experience with data visualization tools such as Tableau, Power BI, or matplotlib.
Familiarity with big data technologies such as Hadoop, Spark, or cloud platforms (e.g., AWS, Azure, Google Cloud).
Excellent problem-solving and critical-thinking skills, with the ability to extract meaningful insights from complex datasets.
Strong communication and collaboration skills, with the ability to work effectively in a team environment.
Attention to detail and the ability to handle multiple projects and deadlines simultaneously.
Proven ability to translate business problems into data-driven solutions and present findings to non-technical stakeholders.
If you are a skilled Data Scientist eager to contribute your expertise to impactful projects in Wellington, New Zealand, we invite you to apply. Join our leading client's team and be part of cutting-edge data-driven initiatives.
To apply, please submit your updated resume and a cover letter outlining your relevant experience, technical skills, and notable achievements in the field of data science. We appreciate all applications received, but only shortlisted candidates will be contacted for further assessment and interviews.