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Remote role and popular Data Scientist title increase applicant density despite seniority.
ML, TensorFlow, and cloud skills are transferable, yielding medium cross-industry fit.
Explicit 8+ years and mandatory ML, TensorFlow and cloud skills make filters strict.
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Design, develop, and program methods, processes, and systems to consolidate and analyze unstructured and big data sources for actionable insights.
Lead development and coding of software, algorithms, and automated processes for data cleansing, integration, and evaluation of large datasets from multiple sources.
Create predictive models, machine learning algorithms, data visualizations, and communicate insights to business leaders; mentor team members.
Bachelor’s degree (B.S/B.A) or equivalent combination of education and experience.
8+ years of related experience and/or training in data science or related fields.
Strong SQL skills including macros and dashboard creation; proficiency in Python, R, TensorFlow; experience with GCP, AWS, Azure data engineering.
Experience with Big Data analytics, statistical modeling, AI/ML, and Generative AI for analytics and modeling.
Experienced in handling complex big data challenges with in-depth evaluation and creative problem solving within a professional environment.
Demonstrates leadership in software and algorithm development along with effective communication of data insights to senior management and stakeholders.
Capable of independently analyzing large datasets to identify trends, gaps, and opportunities with high attention to detail and mentorship experience.