Job Description
Hybrid 3 days on-site Tue,Wed,Thurs
Job Description:
The expectations for a Data Scientist II at Client include the ability to analyze and interpret large, complex datasets using advanced statistical and machine learning techniques, collaborate effectively with cross-functional teams to solve business problems, develop and deploy predictive models, automate and scale analytical workflows, and clearly communicate insights to diverse stakeholders. Strong technical skills are expected such as proficiency in Python or R, expertise with data visualization tools, familiarity with cloud and MLOps practices, and an understanding of data privacy and healthcare compliance. Additionally, staying up to date with industry trends and demonstrating initiative in problem-solving and continuous learning are important for success in this role.
" Excellent understanding of machine learning techniques and algorithms, such as Logistic R...
Job Description:
The expectations for a Data Scientist II at Client include the ability to analyze and interpret large, complex datasets using advanced statistical and machine learning techniques, collaborate effectively with cross-functional teams to solve business problems, develop and deploy predictive models, automate and scale analytical workflows, and clearly communicate insights to diverse stakeholders. Strong technical skills are expected such as proficiency in Python or R, expertise with data visualization tools, familiarity with cloud and MLOps practices, and an understanding of data privacy and healthcare compliance. Additionally, staying up to date with industry trends and demonstrating initiative in problem-solving and continuous learning are important for success in this role.
" Excellent understanding of machine learning techniques and algorithms, such as Logistic R...
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