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Popular Data Scientist title and broad multi-cloud/ML skillset increase candidate competition.
Core ML, data engineering, and analytics skills are highly transferable across industries.
Explicit 8+ years plus mandatory ML, TensorFlow, cloud, and SQL skills impose strict filters.
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Designs and programs methods to consolidate and analyze diverse big data sources to generate actionable insights.
Leads development of software, algorithms, and automated processes for large, disparate datasets; builds predictive models and machine-learning algorithms.
Interprets and communicates data insights to business and executive teams; proposes solutions and mentors other team members.
Bachelor's degree required; Master's preferred but not mandatory.
8+ years of related experience or equivalent combination of education and experience.
Proficient in SQL (including macros and dashboard creation), Python, R, TensorFlow, and data engineering on GCP, AWS, and Azure.
Experience with big data, exploratory data analysis, AI/ML and Generative AI for analytics and modeling.
Experienced in handling complex, large-scale unstructured and structured data with strong analytical and problem-solving skills.
Skilled in communicating technical insights to senior leaders and proposing strategic data-driven solutions.
Comfortable leading technical development and mentoring within a cross-functional data science team environment.