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DATA SCIENTIST - HEALTHCARE

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Professional
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087729 Requisition #
Thanks for your interest in the DATA SCIENTIST - HEALTHCARE position. Unfortunately this position has been closed but you can search our 586 open jobs by clicking here.

 Education

Minimum Level of Education Required: Master's degree

Additional requirements: 

Type of degree: Masters or PhD 

Area of study or major: Information Technology, Computer Science, or a relative quantitative discipline

Preferred educational qualifications: Masters

Experience

Minimum Level of Experience Required: 5 - 7  years of job related experience

Prior job title or occupational experience: Data Scientist, Big Data Engineer, Sr. Data Analyst 

Prior specific functional responsibilities: Minimum of Five years of experience in Data Science.

Preferred experience:   Experience in developing machine learning algorithms in Python. Understanding of high performance algorithms and R statistical software ; Experience in industry data science (e.g., machine learning, predictive maintenance); preferred Capability to architect highly scalable distributed systems, using different open source tools; Excellent problem solving, critical thinking, and communication skills; Demonstrated experience with agile or other rapid development methods; Demonstrated experience with object oriented design, coding and testing patterns as well as experience in engineering software platforms and largescale data;  Experience in developing presentations and communications to be shared with internal and external stakeholders; Expert knowledge of data modeling and understanding of different data structures;  Experience using big data batch and streaming tools      

Other experience requirements: Ability to concisely and effectively interact with key roles within the Agile team; brings a high-energy and passionate outlook to the job and can influence those around them;  able to build a sense of trust and rapport that creates a comfortable & effective workplace; passion for innovation and “can do” attitude 

Knowledge/Skills

Designs, develops, and implements end-to-end machine learning production pipelines (data exploration, sampling, training data generation, feature engineering, model building, and performance evaluation. Translates complex functional and technical requirements into detailed architecture, design, and high performing software

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