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Data Scientist Architect Jobs

Company

Accelerize 360

Address United States
Employment type FULL_TIME
Salary
Category IT Services and IT Consulting,Software Development,Business Consulting and Services
Expires 2023-08-21
Posted at 9 months ago
Job Description

Accelerize 360 is looking for a Data Science Architect to design advanced machine learning solutions for our clients. This role demands a rigorous understanding of data architecture, data engineering and machine learning models as applied to specific use cases.


Role:


  • Work with the sales team to develop scope of work documents including cost and timeline estimations
  • Manage a team of engineers, data scientists and data analysts to develop the solution, build and run models and manage the models
  • Design solutions with recommended technology stacks for executing machine learning solutions
  • Develop quick proofs of concept to showcase capabilities and potential
  • Build and manage a high-performing data team
  • Identify optimal machine learning models for specific use cases
  • Design architecture frameworks that include data models and pipelines with the intent of running machine learning models.
  • Pursue advanced and upcoming use case-driven technological solutions


Requirements:


  • At least 3 years experience in spearheading custom machine learning solutions
  • Experience on multiple platforms, including Snowflake, Google Cloud, Azure, AWS and Databricks
  • Experience in the Financial Services and Retail industries
  • Ability to hire, mentor and guide a data team
  • Comfortable with juggling multiple client projects simultaneously
  • Advanced Degree in Computer Science with a focus on Data Science and Machine Learning
  • Natural problem-solving skills backed by an analytical mindset
  • Experience in sales, service and marketing use cases
  • Consultative approach delivered through structured written and verbal communication
  • Demonstrated experience in creating design documents and spec sheets for machine learning projects
  • Tremendous appetite to learn new use cases and platforms
  • Client servicing experience is a must