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Strong employer brand, mid-level data scientist title, and metro location increase candidate competition.
ML/AI skills are transferable across industries, but domain-specific industrial data needs increase fit sensitivity.
Explicit 5+ years, 3+ years domain experience, and mandatory Python/LLM skills create strict filters.
Design and develop complex data science solutions and machine learning frameworks independently, focusing on delivering business value.
Lead and mentor data science team members, guiding technical direction and promoting software quality standards.
Engage with end users and internal customers for development, debugging, and testing of data applications to ensure accuracy and completeness.
Bachelor's or Master's degree in data science, analytics, computer science, engineering, statistics, mathematics, finance, or related fields.
At least 5 years of professional experience with minimum 3 years as a Data Scientist with proven design and implementation of data processing and machine learning frameworks.
Recent 3+ years hands-on experience with Python and SQL.
Experience with Agents, Large and Small Language Models, Retrieval Augmented Generation, Generative AI, NLP, and Deep Learning; must work onsite 5 days a week; relocation available.
Experienced in complex application development and independent problem solving in data science and AI technologies.
Capable of mentoring and guiding a team in best practices for software quality and structured development.
Skilled in interfacing with stakeholders to align development with user needs and to manage integrated testing processes.