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Tier-1 brand, popular ML role, and seniority create moderate applicant competition.
Technical ML skills are transferable, but consulting client-experience and domain context add moderate specialization.
Explicit 8+ years and mandatory ML, programming and data engineering skills make filters stringent.
Develop and implement advanced data science solutions including statistical modeling and machine learning to transform raw data into actionable insights that inform strategic business decisions.
Design, maintain, and optimize data pipelines, data lakes, and workflows to support large-scale data processing and analysis.
Collaborate with cross-functional teams to integrate predictive analytics and data-driven recommendations into business strategies and client solutions.
Bachelor's degree mandatory.
Minimum of 8 years of relevant work experience in data science or related fields.
Proficiency in English (oral and written) is required.
Experience with programming languages such as Python, R, C++, and knowledge of data science tools like TensorFlow and Scikit-Learn.
Background in fields such as Artificial Intelligence, Robotics, Business Analytics, Computer Science/Engineering, Data Science, Engineering, Information Technology, Machine Learning, Mathematics, Statistics, or Systems Engineering.
Demonstrated ability with data science algorithms, machine learning techniques, predictive modeling, and data engineering including managing data pipelines and data lakes.
Experienced in managing complex, ambiguous situations while building and maintaining meaningful client relationships.