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Mid-level ML role in metro with known brand, common title, and broad requirements increases competition.
Core ML/statistics skills transfer across industries, though econometrics preference adds moderate specialization.
Mandatory 4+ years, advanced degree and production ML coding make filters relatively strict.
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Develop and implement mathematical and econometric models to improve decision-making and create data visualizations.
Design and test analytical modules for Nielsen modeling platforms and collaborate with Software Engineering to build scalable web-based analytical solutions.
Document and present methodologies internally and externally.
PhD or Masters degree in Operations Research, Industrial Engineering, Applied Mathematics, Computer Science, or related field.
4+ years of experience in Data Science and/or Statistical analysis.
Expertise in Python, Spark, SQL, and production-grade scientific computing packages like NumPy, SciPy, Scikit-learn.
Work Experience Required: 4+ years in relevant Data Science/Statistical roles.
Strong background in applying machine learning methods and statistical modeling (Bayesian and Frequentist) to analytical problems.
Experience working in agile environments with short release cycles and collaborating across software engineering teams.
Ability to independently manage mission-critical projects with organized and analytical approach.