Senior Data Scientist

TriNet is hiring a Senior Data Scientist to apply advanced analytical, statistical, and machine learning techniques to solve complex business problems. The role involves partnering with cross-functional stakeholders to frame business questions, develop predictive and prescriptive models, and deliver insights that drive data-informed decision-making.

Requirements

• Develop, test, and deploy statistical models, machine learning models, and analytical frameworks.
• Apply techniques such as regression, classification, clustering, forecasting, and optimisation.
• Ensure models are explainable, reliable, and aligned with business objectives.
• Partner with stakeholders to define analytical problems, hypotheses, and success criteria.
• Translate ambiguous business questions into well-structured analytical approaches.
• Identify key drivers, risks, and opportunities through data exploration and hypothesis testing.
• Work with unstructured data and apply NLP and LLM‐based techniques to solve complex business problems.
• Perform exploratory data analysis to uncover patterns, trends, and anomalies.
• Engineer features from structured and unstructured data sources.
• Assess data quality, bias, and limitations in analytical outputs.
• Validate model performance using appropriate metrics and testing approaches.
• Collaborate with data engineering and BI teams to operationalise models and insights.
• Communicate findings, insights, and recommendations to technical and non-technical audiences.
• Translate complex analytical results into clear, actionable business narratives.
• Support decision-making with scenario analysis and impact assessments.
• Stay current with evolving data science methods, tools, and industry trends.
• Identify opportunities to apply advanced analytics and AI to new business problems.
• Promote analytical best practices across the organisation.

Benefits

• Health insurance
• Retirement plans
• Workers’ compensation insurance