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Tier-1 brand, popular mid-level data scientist role, metro location, and broad ML/data skills amplify competition.
ML and data engineering skills are transferable, though consulting client-experience increases domain specificity.
Explicit 4+ years requirement and domain-specific ML/data skills make filters moderately strict.
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Extract actionable insights using advanced analytics and statistical methods from large datasets to drive business growth.
Design, develop, and maintain data science solutions including data pipelines, machine learning models, and data visualizations for complex business problems.
Collaborate with clients to deliver tailored data solutions while mentoring junior team members and upholding professional standards.
Bachelor's degree required.
Minimum 4 years of relevant experience.
Proficiency in English (oral and written).
Experience with programming languages such as Python, R, or MATLAB.
Educational background preferably in AI, Robotics, Business Analytics, Computer Science/Engineering, Data Science, Engineering, IT, Machine Learning, Mathematics, Statistics, or Systems Engineering.
Proficient in data science algorithms, machine learning predictive modeling, and data engineering workflows.
Capable of navigating complex data problems and environments, demonstrating analytical thinking and innovation.