Oritain is the global leader in product verification, with locations in Auckland, Dunedin, London, Singapore and Washington D.C. Our vision is to be the source of truth in global supply chains and our mission is to harness science, technology and services to create a community of origin verified buyers and suppliers, protecting our people and planet.

About the Role

Oritain provides data insights and scientific traceability to some of the biggest brands in the world. By helping these brands understand the origin of their products, Oritain builds trust and integrity within their supply chains while addressing critical issues such as deforestation and modern slavery.

As a Statistical Data Scientist at Oritain, you will play a key role in developing innovative solutions to enhance existing products, enable new products and to support business decisions and strategies. You will work closely with other teams within Oritain to integrate Data Science solutions into existing workflows and systems.

Key Responsibilities

• Collect, clean and process data from various sources.

• Conduct statistical analysis and build statistical models or machine learning algorithms to derive actionable insights.

• Develop and deploy predictive models and algorithms to solve business and operational challenges.

• Create visualisations, including interactive maps and dashboards, as well as reports to communicate data insights effectively.

• Stay up-to-date with the latest advancements in statistics and data science and apply them to enhance analytics solutions.

• Work cross-functionally with teams to integrate statistical analysis and products into existing workflows and systems.

• Provide expert guidance and support to internal and external stakeholders on data science projects.

Skills & Experience

• Statistics & mathematics skills (probability, statistics, uncertainty, linear algebra and calculus).

• Confident using probability, statistics and mathematics to design and develop solutions for real-world problems that can be integrated into existing workflows and systems.

• Machine Learning skills (working with large datasets, data transformations, data and metadata cleaning and maintenance).

• Demonstrable experience in applications of classification, clustering, dimension reduction and other machine learning methods and algorithms to produce useable outcomes, including rigorous quantitative assessment of performance.

• Computing skills (strong programming skills, understanding of good programming practices, standards and paradigms).

• Experience working in a collaborative coding environment that is attentive to creating efficient and maintainable code.

• Solid understanding of machine learning life cycles, operations and industry standard tools/practices.

• Experience writing code that is efficient and optimised for the development of research code and production code.

• Experience using software development tools such as VS Code, Conda and GitHub.

• Experience working with command line tools and Unix based operating systems.

• You must be conversant with Python and R, both for code development and deployment of machine learning models and algorithms in a cloud environment (preferably Azure), including writing code for parallel processing and distributed processing to scale up computations.

• Experience working with databases and with internal and external APIs (internal software, databases and cloud services).

• Experience in using other languages, such as HTML and JavaScript, is desirable but not essential.

• Soft skills (upfront, open, teachable, able to learn and re-learn, have impeccable professional integrity, and aspire to high standards and personal excellence)

• Excellent problem-solving and analytical skills, attention to detail, and far-sightedness to anticipate global consequences of local actions.

• Able to adapt and keep up with the fast-paced technology environment.

• Ability to work in a dynamic commercial environment where tight deadlines are common and can align technical and commercial requirements.

• Able to work effectively with others in cross-functional teams and collaborate with stakeholders from different disciplines. You must therefore have strong verbal and written communication skills, including the ability to communicate complex technical concepts to non-technical audiences.

We believe great teams are built from different perspectives, experiences, and ways of thinking. We welcome applications from everyone and encourage you to bring your whole self to the process. If there’s anything we can do to support you, including any reasonable adjustments at any stage of hiring, please let the team know.