Senior Statistical Data Scientist

Oritain

Oritain is a global leader in product origin verification, collaborating with major brands to support their ESG commitments and reduce fraud risks. They are seeking a Senior Statistical Data Scientist in Auckland to provide technical leadership, integrating statistical analysis into their existing workflows to support business decisions.

In this role you can expect to have the responsibilities:

• Provide technical leadership and mentoring to the team.
• Collect, clean, and process data from various sources.
• Conduct statistical analysis and develop predictive models.
• Create visualizations and reports to communicate insights.
• Stay current with advancements in statistics and data science.
• Work cross-functionally to integrate statistical products into workflows.
• Guide and support internal and external stakeholders.

This role comes with the following benefits:

• 35 days annual leave including public holidays.
• 2 paid volunteering leave days.
• Life insurance.
• Monthly wellbeing allowance.
• Health care scheme.
• Annual performance bonus.
• Birthday holiday leave.
• Enhanced parental leave.
• Great company culture.
• Employee Assistance Programme.
• Opportunity for career enhancement with a purpose-driven organization.
• Exposure to a variety of areas within the business with learning opportunities.
• Flexible working options and competitive remuneration package.

This role requires you to have:

• Advanced knowledge in statistics and mathematics.
• Proficiency in machine learning applications.
• Strong computing and programming skills, especially in Python and R.
• Leadership and motivational skills.
• Excellent problem-solving and analytical abilities.

You would benefit from having:

• Experience with HTML and JavaScript.
• Proficiency in cloud computing platforms like Azure.

Oritain encourages continuous learning and values professional integrity and excellence. The role involves working closely with executives and stakeholders from different disciplines in a dynamic environment.