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Job Description
Structured overview of role & requirementsAbout This Role
Design and develop end-to-end data science analytics solutions including data preprocessing, modeling, validation, and maintenance primarily using Python.
Apply advanced statistical, machine learning, and deep learning techniques to solve complex business problems and enhance business performance.
Engage with stakeholders to provide data-driven recommendations to support business objectives.
Minimum Requirements
Bachelor's degree in a quantitative field is mandatory (e.g., applied statistics).
Minimum 5 years of experience in predictive/prescriptive modeling, analytics, and machine learning.
Proficiency in Python is required; experience with statistical modeling, time series analysis, and BI tools like Power BI is preferred.
Relocation assistance not provided; this is an individual contributor role without people leadership responsibility.
Ideal Candidate Profile
Experienced in applying machine learning and statistical techniques to business analytics challenges within enterprise environments.
Comfortable working independently while mentoring junior team members as needed.
Familiarity with tools and concepts like Python, R, GitHub, Azure data services, econometric modeling, and optimization techniques.