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Job Description
Structured overview of role & requirementsAbout This Role
Evaluate and prioritize AI and predictive analytics use cases for business impact, feasibility, and data readiness.
Develop, train, validate predictive/statistical models (forecasting, pricing, pipeline, win-rate, productivity) and translate business needs into analytical solutions.
Collaborate with business, IT, and AI implementation teams to implement solutions and measure their business outcomes.
Minimum Requirements
Bachelor's or Master's degree in Data Science, Statistics, Applied Mathematics, Computer Science, Engineering, Economics, or a related quantitative discipline.
4–7 years experience in Data Science or Advanced Analytics, ideally in commercial, pricing or sales-related environments.
Proficiency in Python or R, SQL, with strong knowledge of statistics, forecasting, regression, classification, and predictive modeling.
Work Experience Required: 4–7 years in relevant data science or analytics roles.
Ideal Candidate Profile
Experience operating in commercial, pricing, or sales-related environments, preferably B2B or industrial technology sectors.
Strong ability to translate complex analytical insights into clear, measurable business impact and recommendations.
Experience working cross-functionally with technical teams and business stakeholders to deliver AI and analytics solutions.