data scientist

"Are you passionate about innovating with AI at the intersection of industry and academia? Are you interested in contributing to ML projects that redefine what's possible? If so, we want to hear from you! We're seeking talented individuals to join our ML staff to work on projects spanning industries, specializations, and applications."- Dave Staszak, Lead Machine Learning Scientist About the RoleReporting to the Lead Machine Learning Scientist, Advanced Technology, the Machine Learning Scientist, Advanced Technology serves as a key member in maintaining Amii's reputation for scientific excellence and providing insight into their area of expertise.This position is responsible for the delivery of innovative solutions to Amii's industry partners by leading applied ML projects and mentoring junior team members. Their expertise bridges the gap between fundamental ML techniques and business opportunities, guiding clients through the complexities of AI adoption. The Advanced Technology team sources technical talent to work on our industry partners' projects and the Machine Learning Scientist is responsible for supporting that talent through those project deliveries.The position focuses on achieving excellence in four main accountabilities: Client Success: Work with Amii clients to advance their ML projects and capabilities. Machine Learning Expertise: Serve as a subject matter expert to guide and support organizational initiatives. Research & Development: Support the advancement of ML research and development in both industry and academia. People Leadership: Mentor junior team members to help them achieve their goals and advance their professional growth. Required Skills / ExpertiseKey Responsibilities: Client Success Leads regular client meetings to understand their machine learning objectives and provides tailored technical guidance to support project development Bridges the gap between fundamental ML techniques and business opportunities, providing scientific insight into technical projects Supports the implementation of exploratory data analysis and machine learning modelling techniques Conducts client discovery sessions to understand and determine specific needs and requirements Coaches clients to efficiently extract insights and make informed decisions Writes and reviews technical reports and code Develops and nurtures strong relationships with clients through effective communication and scientific excellence Incorporates client feedback to enhance delivery and ensure client success Machine Learning Expertise Establishes themselves firmly as a trusted subject matter expert in a specific domain Coaches junior staff through the model-building process, providing expertise and support Mentors junior team members on career development and progression, drawing lessons for coaching opportunities Encourages a collaborative work environment by facilitating teamwork and the exchange of ideas among team members Identifies and addresses knowledge gaps, providing solutions or resources to bridge them Ensures the Principled AI Framework is integrated into all projects, promoting ethical AI development and usage Research and Development Translates academic research into practical applications, applied research and industry solutions Conducts research in leading-edge methods in various AI domains, such as reinforcement learning (RL), computer vision (CV), natural language processing (NLP) and large language models (LLMs) Transfers knowledge across domains and industries, building a strong technical repertoire to bring to new problems Prepares manuscripts for publication in peer-reviewed journals Supports fundamental research in AI through applied research projects and the development of research topics People Leadership Provides supervision to junior team members by overseeing and refining their work, and managing approval processes Mentors direct reports on career development and progression, drawing lessons for coachin