Senior Data Scientist - AI

Role overview Develop AI and analytics solutions that automate or augment operational work. The role spans the project lifecycle, from understanding business needs and assessing feasibility to building models, agent-based tools, or conversational experiences and evaluating their results.

Responsibilities - Turn business challenges into AI solution proposals, including requirements, feasibility assessments, prompts, and platform capabilities. - Deliver AI projects from initial planning through implementation, meeting agreed timelines and quality expectations. - Build agents or tools for operational automation and decision support, working with engineering, architecture, product, and business partners. - Analyze structured and unstructured data using statistical and mathematical methods to address complex business questions. - Develop predictive models, performance metrics, reports, and analyses; assess scenarios and possible outcomes. - Present findings and recommendations to stakeholders and explain technical implications.

Requirements - At least three years of relevant AI or analytics experience. - At least three years of programming experience in Python and SQL. - At least three years of experience with cloud technology. - Experience developing AI or machine-learning products or decision-support tools, including agent-based architectures and deployment. - Experience developing, implementing, and supporting enterprise technology solutions. - Bachelor’s degree or equivalent work experience in a relevant discipline.

Nice to have - Graduate degree in a relevant field. - Experience with generative AI, large language models, prompt design, orchestration, and cloud-based AI deployments. - Strong ability to communicate technical concepts and anticipate delivery risks.

Benefits and work setup - Full-time role with a stated 40-hour workweek and eligibility for medical, dental, vision, paid time off, retirement savings, wellness programs, and an incentive program.