Statistical Data Scientist

7 days ago


Auckland, New Zealand Buscojobs Full time

Our vision is to be the source of truth in global supply chains. To achieve this, we work with some of the world's largest and most valuable brands to support their ESG commitments, reduce the risk of fraud and unethical practices, and protect their reputations.

As a global leader in product origin verification, we have locations in Auckland, Dunedin, London, and Washington DC.

Oritain is seeking a talented & experienced Statistical Data Scientist to join their innovative team in their modern Auckland CBD offices. We are looking for someone with a combination of skills in the following three vital and equally important technical areas that are required for this role: statistics and mathematics, machine learning, and computing. If you have significant demonstrable evidence of these skills applied in a commercial environment, please read on.

Role Overview:

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 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 visualizations, 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.
Qualifications and Skills:
  • Statistics & mathematics skills: You must have strong foundations in probability, statistics, uncertainty, linear algebra, and calculus beyond first-year tertiary level and, preferably, have completed courses at post-graduate level. You must be confident and competent in 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: You must be proficient in working with large datasets, data transformations, data and metadata cleaning and maintenance. You must have demonstrable experience in applications of classification, clustering, dimension reduction, and other machine learning methods and algorithms to produce usable outcomes, including rigorous quantitative assessment of performance.
  • Soft skills: You must be upfront, open, teachable, able to learn and re-learn, have impeccable professional integrity, and aspire to high standards and personal excellence. You must have excellent problem-solving and analytical skills, attention to detail, and far-sightedness to anticipate global consequences of local actions. You must be able to adapt and keep up with the fast-paced technology environment. You must have the ability to work in a dynamic commercial environment where tight deadlines are common and can align technical and commercial requirements. You must be 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.
Benefits:
  • 35 Days annual leave including public holidays
  • 2 x Paid Volunteering Leave days
  • Life Insurance
  • A monthly wellbeing allowance
  • Annual performance bonus
  • Birthday holiday leave
  • Enhanced maternity/paternity leave
  • Great company culture
  • Employee Assistance Programme
  • An opportunity to enhance your career with an organisation that has a strong sense of purpose. In this role, you will help companies to protect the integrity of their product and to mitigate the risk in global supply chains.
  • You will also be exposed to a wide variety of people and areas within the business and be given the opportunity to learn from a highly skilled and passionate team. We have flexible working options and a competitive remuneration package.

Applications will be considered and progressed as they are received. If you think this is the role for you, and Oritain is the place you want to be, we encourage you to apply today Only applicants with the current right to live and work in New Zealand will be considered.

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