Back
Mid-level data science role, metro location, and 3–6 years experience amplify applicant competition.
Core ML and data science skills are transferable across industries, though domain knowledge adds value.
Explicit 5+ years, Master's degree, and mandatory ML/MLOps and production skills create strict screening.
Login to See Your Match Score
Create a free account or log in to unlock your CV match score across:
Design and deliver scalable, production-ready AI, machine learning, and GenAI solutions addressing complex business challenges.
Collaborate with business stakeholders and technical teams to prioritize use cases and transform requirements into analytical solutions.
Mentor junior team members and present findings to both technical and executive audiences to drive business value.
Master's degree in Data Science, Computer Science, AI, Mathematics, Software Engineering, or related field.
Minimum 5 years of hands-on experience delivering data science or machine learning solutions.
Strong Python programming skills with experience in modern data science libraries and building predictive models including GenAI applications.
Experience designing scalable data pipelines and production-ready AI solutions with familiarity in MLOps and model lifecycle management.
Experienced in end-to-end AI solution delivery with measurable business impact and stakeholder engagement.
Proficient in translating complex technical AI/ML concepts into practical business outcomes.
Has a background in mentoring and leading technical team members, indicating seniority and strategic influence.