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CE
Data Scientist
CereCoreRemote, United States, United StatesRemotefull_timeVerifiedPosted 2 Apr 2025
About the role
Classification: Contract to Hire
Contract Length: 12 months
Location: Remote, USA
Summary:
We are seeking a highly motivated Data Scientist to join our team. In this role, you will be responsible for utilizing advanced analytics and machine learning to develop data pipelines and solutions that will provide data-driven insights to drive strategic decisions. This includes development of predictive analytics models using various machine learning techniques and analyzing large datasets to uncover patterns, trends, and insights to inform decisions.
Responsibilities
- Developing predictive models on large-scale datasets to address various business problems through demonstrating advanced statistical modeling, machine learning, or data mining techniques. Using combinations of Python, Azure, Vertex AI, AutoML, Vertex AI Notebooks, Document AI, BigQuery ML
- Developing predictive analytics models using various machine learning techniques
- Evaluating the performance of predictive models and algorithms using appropriate metrics and validation techniques, and iterate on model improvements
- Building and maintaining data pipelines that are optimized for machine learning applications
- Providing guidance on technology choices and design considerations for AI/ML programs
- Collaborating with business analysts, project lead, management, and customers on requirements
- Assisting with the training and enablement of end users, including data scientists, program managers, and data consumers
- Sharing knowledge and experience to contribute to growth of overall team capabilities
- Designing fit-for-purpose products to ensure products align to the customer's strategic plans and technology road maps
- Actively participate in technical group discussions and adopt any new technologies to improve the development and operations.
- Assisting team members with production issues and offer support, guidance, and assist in communicating issues with appropriate stakeholders when necessary
Requirements
- Bachelor’s or Master’s degree in Computer Science, Data Science, AI, or a related field is preferred, but not mandatory for candidates demonstrating significant experience and a proven track record in the field of AI/ML and platform development.; Master's or higher degree is a plus.
- 1+ year(s) of experience in Healthcare - Preferred
- 10+ years of experience in Information Technology - Required
- Proficiency with Python and data science libraries (Pandas, NumPy, SciPy, Scikit-Learn, etc.)
- Experience producing meaningful visualizations/dashboards/presentations to business stakeholders
- Experience solving "full stack" machine learning problems, from data collection to model training to deployment, and experience using machine learning.
- Understanding and exposure to the different levels of the data science cycle (definition, collection, preparation, extraction, analysis, modeling, and deployment)
- Experience with Object Oriented Programming (OOP) concepts & scalable software design principles
- Experience working with SQL/MySQL
- Experience working with GCP AI and ML Products such as: Vertex AI, AutoML, Vertex AI Notebooks, Document AI, BigQuery ML
- Ability to multitask and to balance competing priorities.
- Strong verbal, written, and interpersonal skills, including a desire to work within a highly-matrixed, team-oriented environment.
- A successful candidate may have:
- Experience in Healthcare Domain
- Experience in Patient Data
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