Senior Data Scientist

Job Summary

• This role is responsible for analyzing and interpreting complex data sets using statistical techniques to identify trends, patterns, and insights that can be used to form business decisions and improve organizational performance.
• The role brings cutting edge perspective on programming techniques for data exploration, mining, preparation, cleansing, manipulation, modeling and validation, with a strong emphasis on structured problem solving and end-to-end analytical thinking.
• The role explores potential opportunities for improving business outcomes with data analytics and improves productivity by recommending efficient, automated processes for large scale data analyses and model development, ensuring solutions are both practical and scalable in real-world environments.

Responsibilities

• Leads data mining using modern tools and programming languages.
• Develops monitoring metrics to reflect real-world model performance and makes recommendations to shape the future direction of models and digital solutions.
• Delivers predictive and prescriptive models of high complexity to surface insights; drives action, defines success measures and tracks performance of models.
• Strategizes models to uncover patterns and predictions creating business value and innovation, applying clear, structured approaches to problem definition, data exploration, and solution development.
• Manages relationships with business partners to evaluate and foster data driven innovation, provides domain-specific expertise in cross-organization projects/initiatives, and translates business problems into actionable analytical frameworks.
• Ties insights into effective visualizations communicating business value and innovation potential, with the ability to simplify complex technical concepts into clear, business-relevant insights.
• Works with development teams and business units to ensure models are scalable and can be implemented as part of the delivered solution, balancing efficient design with practical execution approaches.
• Writes clean, well-structured and maintainable code that is easily understood and reusable by team members, following best practices in model development and deployment.
• Leads project team(s) of data science professionals, assuring insights are communicated regularly and effectively, reviewing designs, models and data compliance.
• Represents the data science team for all phases of larger and more-complex development projects, demonstrating strong ownership across the end-to-end lifecycle from problem framing to solution delivery.
• Provides guidance, training and mentoring to less experienced staff members.

Education & Experience Recommended

• Four-year or Graduate Degree in Mathematics, Statistics, Economics, Computer Science, Data Science, or any other related discipline or commensurate work experience or demonstrated competence.
• Typically has 5-10 years of work experience, preferably in data analytics, statistical modeling, machine learning, or a related field.
• Demonstrated experience delivering end-to-end data science projects, including defining problem statements, developing technical solutions, and driving measurable business outcomes at scale.