Senior Data Scientist

Senior Data Scientist

Requirements

• Demonstrated experience providing customer-focused solutions or support.
• Proficiency in programming languages suitable for database access, scripting, statistical analysis, and system development.
• Understanding of software development best practices including source control, coding standards and testing frameworks.
• Demonstrated experience formulating complex analytical problems using a quantitative, scientific approach.
• Demonstrated experience working with complex datasets using big data technologies and script.
• Demonstrated understanding managing data to scale using data summarization, query and analysis software and tools.
• Demonstrated experience applying advanced and new data science methods, including Generative AI.
• Demonstrated experience in cloud platforms, modern programming languages like Python and common AI/ML architectures.
• Demonstrated experience working with large, multi-modal datasets which may include text, audio, images, video, and documents.

Responsibilities

• Create business application and modeling framework, for new datasets, and discover insights and relationships from large/complex datasets through investigative research using advanced mathematical and statistical techniques.
• Explore data using a variety of advanced statistical techniques to identify relationships, create insights and answer business questions or guide future model development.
• Build the hypothesis, identify research data attributes and determine best approach to address business issues.
• Build complex predictive models to support our goals.
• Build complex programs for running mathematical or statistical tests on data and for understanding complex relationships across attributes.
• Research and maintain awareness of industry best practices and business strategies. Use findings to provide industry and competitor insights as part of model development.

Preferred Qualifications

No preferred qualifications provided.