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Tier-1 brand, metro location, and a common mid-level data scientist title increase applicant competition significantly.
Core ML/data skills transferable across industries but customer-facing and cloud specialization moderately raise domain specificity.
Explicit degree and years requirements plus 2+ years customer-facing experience create strict shortlisting filters.
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Develop and operationalize scalable data models and algorithms to solve complex, high-impact business problems in collaboration with customers and partners.
Acquire and prepare necessary data sets, ensure data quality and integrity, and update best practices for data collection and modeling techniques.
Partner with cross-functional teams to define business and solution strategies, identify opportunities, and contribute to industry thought leadership.
Doctorate with 1+ year OR Master's degree with 3+ years OR Bachelor's degree with 5+ years of data science experience managing structured/unstructured data and applying statistical techniques.
At least 2 years of customer-facing, project delivery, professional services, or consulting experience.
Proficiency in data acquisition, data preparation, modeling, and evaluation at scale.
Comfortable with travel up to 25%.
Experienced in delivering data science projects in customer-facing or consulting roles involving cloud-based AI solutions and collaborative innovation.
Skilled at working in cross-functional teams including engineers, program managers, and designers with a strong operational focus on model evaluation and scalability.
Able to research industry trends and contribute to strategic and technical thought leadership in data science.