Data Scientist at Amaze systems

2 weeks ago Data & Databases Middle Full-Time 50-60 $/Hour
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We need one to Design and implement end-to-end data pipelines: work closely with stakeholders to build instrumentation and define dimensional models, tables or schemas that support product capabilities


Required skills:

  • 4-6 years of commercial hands-on experience as a Data Scientist solving high impact functional problems
  • Extensive experience with Python & software engineering fundamentals
  • Experience with applied statistics and quantitative modelling (e.g. regression, classification, experimentation, and machine or deep learning)
  • Experience with computer vision and NLP for extraction of information from structured (forms, invoices, statements, etc.) and unstructured (emails, etc.) content
  • Extensive experience of launching productionized machine learning models at scale

Preferred skills:

  • Domain experience in insurance
  • Experience in process automation or SaaS
  • Demonstrated ability to translate analytical insights into clear recommendations and effectively communicate them to technical and non-technical stakeholders
  • Delivery ownership and growth mindset


Responsibilities:

  • Partner closely with product engineering and other business leaders to influence product and program decisions with data
  • Design and implement end-to-end data pipelines: work closely with stakeholders to build instrumentation and define dimensional models, tables or schemas that support product capabilities
  • Build actionable KPIs, production-quality dashboards, informative deep dives, and scalable products
  • Define and advance best practices within data science and product teams
  • *Remote Work Opportunity

Feedback from the client for the candidate who has already interviewed and rejected:

  • · Lack of experience in Computer Vision and OpenCV
  • · No experience in document extraction, OCR, etc
  • · No experience in AWS
  • · No Deep learning experiences

Job Type: Full-time

Salary: $50.00 - $60.00 per hour

🌍 World Wide python data nlp AWS
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