Auckland
FULL_TIME
Skilled work
Global MNC Tech, a leading multinational technology company specializing in innovative AI and data-driven solutions, is seeking a highly skilled Data Scientist to join our remote team. In this role, you will leverage machine learning, statistical modeling, and data analytics to solve complex business problems, optimize processes, and drive actionable insights. The ideal candidate is a proactive, analytical thinker with a strong passion for innovation and experience working with large-scale datasets.
As a member of our dynamic team, you will contribute to cutting-edge projects that impact global clients across multiple industries, delivering measurable results and shaping the future of AI-driven decision-making.
Design, develop, and implement machine learning models and predictive algorithms to address business challenges.
Analyze large and complex datasets to identify trends, patterns, and opportunities for optimization.
Collaborate with cross-functional teams including engineering, product, and business stakeholders to translate requirements into actionable data solutions.
Deploy and maintain scalable ML models in production environments.
Conduct experiments and perform A/B testing to validate model performance and impact.
Communicate insights and recommendations clearly to technical and non-technical audiences.
Continuously research emerging AI and ML techniques, tools, and frameworks to improve existing solutions.
Document methodologies, processes, and results for internal knowledge sharing and regulatory compliance.
Bachelors or Masters degree in Computer Science, Data Science, Statistics, Mathematics, or a related field. PhD is a plus.
Proficiency in programming languages such as Python, R, or Scala.
Strong experience with machine learning frameworks (e.g., TensorFlow, PyTorch, Scikit-learn).
Solid understanding of statistical modeling, data mining, and predictive analytics.
Experience with SQL and NoSQL databases, and data manipulation/ETL processes.
Familiarity with cloud platforms (AWS, Azure, GCP) and deploying ML models in production.
Ability to visualize data and present insights using tools like Tableau, Power BI, or matplotlib/seaborn.
Excellent problem-solving, analytical, and critical-thinking skills.
Minimum of 3–5 years of professional experience as a Data Scientist or in a related role.
Hands-on experience in end-to-end machine learning lifecycle management.
Prior experience in remote, cross-functional, or international teams is highly desirable.
Full-time, remote position.
Flexible working hours aligned with project requirements and team collaboration across global time zones.
Strong analytical mindset with the ability to interpret complex data and provide actionable insights.
Excellent communication and presentation skills for technical and non-technical stakeholders.
Self-motivated and highly organized, capable of managing multiple projects simultaneously.
Creative and innovative approach to solving business and technical challenges.
Ability to adapt quickly to new technologies, frameworks, and changing business requirements.
Competitive salary and performance-based bonuses.
Flexible remote work with a supportive global team.
Health, dental, and vision insurance packages.
Professional development opportunities and access to cutting-edge tools and technologies.
Paid vacation, sick leave, and personal development days.
Inclusive, diverse, and collaborative work culture.
Global MNC Tech is committed to innovation, excellence, and empowering employees to make a real impact on the world through technology. By joining our team, you will work on challenging projects with global visibility, leverage the latest AI and ML technologies, and collaborate with passionate experts across diverse industries. If you thrive in a forward-thinking, inclusive, and growth-oriented environment, this is the perfect opportunity for you.
Interested candidates are invited to submit their resume and a cover letter highlighting relevant experience and achievements via our careers portal at: www.globalmnctech.com/careers
Please include examples of past machine learning projects or a portfolio demonstrating your expertise.