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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 |
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
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