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AI-focused Software Development position responsible for the architecture, implementation, design, and deployment of algorithms and Python based applications to help fulfill our Business and Technology Insights strategy.
Establish methodologies for quickly rolling out new data analysis capabilities for standalone data-driven products and services to support our associates using AI, ML, and LLMs.
Lead and participate in architecture and technical design discussions to ensure data science solutions align with the organization's strategic objectives.
Continuously improve models through experimentation and optimization techniques.
Analyze unstructured text data to discover insights and patterns using advanced data science techniques, including machine learning and natural language processing.
Use a combination and quantitative (science) and qualitative (art) methodologies to prioritize AI initiatives.
Stay on top of fast-moving AI/ML models and technologies.
Understand and follow disruptive data science solutions.
Evangelize new technologies and drive their adoption.
Create Data Science packages and APIs for use across the organization.
Mentor junior members of the team on effective technical practices and non-technical acumen.
4+ years of experience in algorithms and statistics and experience in data mining, machine learning, deep learning and natural language processing.
AI-focused Software Development position responsible for the architecture, implementation, design, and deployment of algorithms and Python based applications to help fulfill our Business and Technology Insights strategy.
Establish methodologies for quickly rolling out new data analysis capabilities for standalone data-driven products and services to support our associates using AI, ML, and LLMs.
Lead and participate in architecture and technical design discussions to ensure data science solutions align with the organization's strategic objectives.
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Continuously improve models through experimentation and optimization techniques.
Analyze unstructured text data to discover insights and patterns using advanced data science techniques, including machine learning and natural language processing.
Use a combination and quantitative (science) and qualitative (art) methodologies to prioritize AI initiatives.
Stay on top of fast-moving AI/ML models and technologies.
Understand and follow disruptive data science solutions.
Evangelize new technologies and drive their adoption.
Create Data Science packages and APIs for use across the organization.
Mentor junior members of the team on effective technical practices and non-technical acumen.
4+ years of experience in algorithms and statistics and experience in data mining, machine learning, deep learning and natural language processing.
Global research and advisory firm providing business and technology insights.
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