Senior Specialist, Data Scientist

Overview

In this role you will lead advanced data analysis and machine learning initiatives to generate actionable insights that shape business strategy. You will collaborate with cross-functional teams to deploy data-driven solutions aligned with organizational goals. You will manage large datasets with strong governance and develop predictive models to forecast trends and inform strategic recommendations. You will stay at the forefront of data science in finance and clearly communicate findings to diverse stakeholders.

Pay / Benefits

• competitive compensation
• wellbeing programs
• paid leavesincl. paid volunteer time
• pay-for-performance
• global resources and tools
• employee development and growth

Responsibilities

• Lead complex data analysis initiatives using advanced statistical techniques and machine learning models to generate actionable insights that support business strategy and operational efficiency
• Partner with cross-functional teams to design and implement data-driven solutions aligned to organizational priorities and business objectives
• Manage and enhance large datasets while ensuring strong data integrity, accuracy, and adherence to data management and governance best practices
• Develop, maintain, and improve predictive models to forecast business trends and provide data-backed strategic recommendations
• Stay current on industry trends and emerging data science technologies to continuously strengthen analytical approaches and innovation
• Communicate findings clearly and effectively to stakeholders across all levels, translating complex analytical outputs into meaningful business actions

Key requirements

• Bachelor’s degree in Data Science, Computer Science, Statistics, or a related field, or the equivalent combination of education and experience; advanced degree preferred
• Proficiency in Python or SQL
• Strong analytical and problem-solving skills with the ability to interpret complex datasets and deliver actionable insights
• Excellent communication skills with the ability to present data-driven recommendations to both technical and non-technical audiences

• strong communication
• cross-functional collaboration
• problem-solving
• Python
• SQL
• machine learning

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