Senior Data Science Infrastructure Specialist
3 weeks ago
Tiger Analytics Overview
We are an advanced analytics consulting firm trusted by several Fortune 100 companies. Our consultants bring deep expertise in Data Science, Machine Learning, and AI.
Job Description
We are seeking a motivated and passionate Senior Data Science Infrastructure Specialist to join our team.
As part of this role, you will be responsible for:
- Providing solutions for the deployment, execution, validation, monitoring, and improvement of data science solutions
- Creating scalable Machine Learning systems that are highly performant
- Building reusable production data pipelines for implemented machine learning models
- Writing production-quality code and libraries that can be packaged as containers, installed, and deployed
Required Skills and Qualifications
To be successful in this role, you should have:
- Bachelor's degree or higher in computer science or related field, with 5+ years of work experience
- Ability to collaborate with Data Engineers and Data Scientists to build data and model pipelines and help run machine learning tests and experiments
- Ability to manage the infrastructure and data pipelines needed to bring ML solutions to production
- End-to-end understanding of applications being created and maintain scalable machine learning solutions in production
- Ability to abstract complexity of production for machine learning using containers
- Ability to troubleshoot production machine learning model issues, including recommendations for retrain, revalidate, and improvements
- Experience with Big Data projects using multiple types of structured and unstructured data
- Ability to work with a global team, playing a key role in communicating problem context to remote teams
- Excellent communication and teamwork skills
Salary Range
The estimated salary range for this position is $120,000 - $180,000 per year, depending on location and experience.
Benefits
We offer significant career development opportunities, a unique opportunity to be part of a small, fast-growing, challenging, and entrepreneurial environment, with a high degree of individual responsibility.
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