Senior Data Scientist 26O25

The Senior Data Scientist role is a pivotal position in our organization, providing strategic and tactical leadership in managing and analyzing complex datasets. This position requires a seasoned professional who can leverage machine learning techniques, statistical analysis, and predictive modeling to drive data-driven decision-making across various business units. As a Senior Data Scientist, you will collaborate with cross-functional teams to solve complex business problems, provide insights to help shape the company's strategic direction, and influence data engineering best practices. Success in this role requires not only technical expertise in data science and analytics but also an understanding of business operations and a talent for communication to articulate complex data-driven insights to non-technical stakeholders.

Responsibilities

• Lead the design and implementation of scalable machine learning models and algorithms.
• Collaborate with business leaders to understand their data needs and provide actionable insights.
• Develop and maintain robust data infrastructure to generate consistent and reliable insights.
• Guide junior data scientists in developing their technical skills and understanding of industry practices.
• Design predictive models that can be implemented to improve business processes and decision-making.
• Investigate new data sources and evaluate their potential to improve insights or model accuracy.
• Work closely with data engineers to optimize data collection and clean data integration processes.
• Communicate findings to senior management, fostering data-driven decision-making across the company.
• Implement advanced analytical methods to explore complex data relationships and trends.
• Optimize existing models and algorithms to improve their performance and scalability.
• Stay updated with the latest trends and technologies in data science and data analytics.
• Develop and establish best practices for data analysis and experimentation in the organization.

Requirements

• Master's degree in Data Science, Computer Science, Statistics, or a related field.
• At least five years of experience as a data scientist or in a similar role.
• Strong proficiency in programming languages such as Python, R, or SQL.
• Experience with machine learning frameworks and libraries such as TensorFlow, PyTorch, or scikit-learn.
• Excellent problem-solving skills and the ability to work with large datasets.
• Exceptional communication skills to translate complex analyses into actionable insights.
• Proven ability to lead and manage data science projects from conception to execution.