Data Scientist at Amaze systems
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
🎉 Let Employers Find You!
Create Your Profile (simple)
Employers will see your profile when they are sending a job in your skill.
Create Your Profile (simple)