Sr. Data Scientist AI

Sorry, this job was removed at 06:05 p.m. (CST) on Thursday, Sep 26, 2024
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Hiring Remotely in Costa Rica
Remote
Internship
Information Technology • Consulting
Scalable Systems is a Data, Analytics & Digital Transformation Company focused on vertical-specific innovative solutions
The Role

Scalable Systems is a USA-based Big Data, Analytics and Digital Transformation Company focused on vertical, innovative solutions. By providing next-generation technology solutions and services, we help organizations to identify risks & opportunities, achieve operational excellence, and gain an innovative edge.


Job Description:


As Sr. Data Scientist AI, you'll specialize in developing and deploying machine learning models to solve complex business problems. You'll analyze data to extract insights and provide recommendations. As part of your responsibilities, you'll proficient in technical documentation and code reviews, they ensure model quality and reliability.


    Requirements:

    • Production experience in cloud-based AI or ML systems, developing and deploying machine learning models
    • Technical writing documentation in English
    • Last Experience as Data Scientist
    • Experience performing pull request and code reviews and providing effective, helpful feedback to team members.
    • Graduate degree in computer science, mathematics, or related field.

    Experience
    5 years of experience in a data/applied science related role

    Required technologies: 

    Data science, Machine Learning and Statistical systems and Python (pandas, scipy, scikit-learn, pytorch, dask, pyarrow, ray.)


    Preferred

    • Experience writing unit tests as part of development cycle and using code coverage tools
    • Knowledge of containerization technologies, including Docker and Kubernetes
    • Familiarity with database, performance, profiling, and tuning tools
    • Experience with bug and feature tracking and source control systems; Jira, Confluence, and Git

    The Company
    HQ: Piscataway, New Jersey
    171 Employees
    On-site Workplace
    Year Founded: 2003

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