[Remote] Senior Data Scientist / Data Scientist III

Note: The job is a remote job and is open to candidates in USA. Cleveland Clinic is hiring a Senior Data Scientist or Data Scientist III to address complex business problems using statistical and machine learning techniques, advanced technologies, and large datasets. The role leads analytical modeling, proof-of-concept implementation, stakeholder education, and advisory work with department and institute leadership.

Responsibilities

• Engage business leadership, internal stakeholders, and technology partners to discuss the business benefits of Machine Learning (ML) and Artificial Intelligence (AI)
• Lead Data Science service education and awareness activities for stakeholders and internal customers
• Lead problem formulation and model building, leveraging ML and AI technologies to define analytics and synthesize findings that address customer requirements and generate value
• Advise customers and prospects on technology and tool selection to meet emerging analytics requirements and maximize value from existing and future data
• Lead the launch and implementation of proof-of-concept projects and operationalize successful concepts
• Stay current on developments in data science and their potential applications within the organization
• Contribute to scientific literature and academic partnerships
• Educate stakeholders and internal customers on communicating the vision and value of advanced analytics, qualifying interested prospects, and proposing Data Science services
• Lead relationship development and technology evaluation for prospective enterprise partnerships
• Lead instruction of the Analytics University curriculum for Cleveland Clinic caregivers
• Provide independent peer review of models, including assessment and communication of feedback
• Perform other duties as assigned

Skills

• Bachelor's Degree in Statistician, Actuarial Science, Econometrics, Physics, Biostatistics, Computer Science, Applied Mathematics, Engineering, Business Analytics, Economics, Finance or related field and 8 years related experience inclusive of 2 years in healthcare or life sciences working with relational databases and/or distributed computing platforms, and their query interfaces, such as SQL, Teradata, MapReduce, PIG, and Hive
• OR Ph.D. and 4 years of relevant experience
• OR Master's degree and 6 years of relevant experience
• Experience working with a variety of statistical languages/packages, e.g., SAS, R, Python, Spark, and/or SPSS
• Knowledge of applying advanced statistics to complex business problems required (e.g., modeling, AI, ML, Deep Learning [DL], and/or Natural Language Processing [NLP])
• Familiarity with additional programming languages, including Python, Java, or C/C++
• Experience leveraging visualization software and techniques and business intelligence (BI) software
• Technical knowledge of distributed computing platforms, and common data process flows from data instrumentation & generation, to ETL, to the data warehouse itself
• Demonstrated leadership qualities, including presentation, influencing and negotiation
• Excellent written, verbal, and presentation skills in English and ability to explain the value of Machine Learning (ML) and Artificial Intelligence (AI) to business leaders
• Strong business-orientation, able to select the appropriate complex quantitative methodologies in response to specific business goals
• Bachelor's Degree in Statistician, Actuarial Science, Econometrics, Physics, Biostatistics, Computer Science, Applied Mathematics, Engineering, Business Analytics, Economics, Finance or related field and six years related experience working with relational databases and/or distributed computing platforms, and their query interfaces, such as SQL, Teradata, MapReduce, PIG, and Hive
• OR Ph.D. and two years of relevant experience
• OR Master's degree and four years of relevant experience
• Excellent written, verbal, and presentation skills in English
• Ability to explain the value of Machine Learning (ML) and Artificial Intelligence (AI) to business leaders
• Experience working with a variety of statistical languages/packages, e.g., SAS, R, Python, Spark, and/or SPSS
• Knowledge of applying advanced statistics to complex business problems (e.g. modeling, AI, ML, Deep Learning [DL], and/or Natural Language Processing [NLP])
• Familiarity with additional programming languages, including Python, Java, or C/C++
• Experience leveraging visualization software and techniques and business intelligence (BI) software
• Technical knowledge of distributed computing platforms, and common data process flows from data instrumentation & generation, to ETL, to the data warehouse itself
• Demonstrated leadership qualities, including presentation, influencing and negotiation
• Master's or Ph. D
• Certification or fellowship in analytics, big data, data science or related subject
• Technology partner certification (in technology, Big data, business or advanced analytics, data science) – Microsoft, Oracle, Teradata, IBM, EMC, Cloudera, Hortonworks, Informatica, Tableau, SAS, R, Python
• Leadership experience
• Lead experience with project management and change management methodologies
• Experience leading successful projects and mentoring junior developers
• Master's or Ph. D
• Certification or fellowship in analytics, big data, data science or related subject
• Technology partner certification (in technology, Big data, business or advanced analytics, data science) – Microsoft, Oracle, Teradata, IBM, EMC, Cloudera, Hortonworks, Informatica, Tableau, SAS, R, Python
• Healthcare or life science experience
• Leadership experience
• Lead Experience with project management and change management methodologies

Benefits

• Works remotely in Ohio, Florida, or Nevada, Monday through Friday, 8:00 a.m.–5:00 p.m. (Flexible).

Company Overview

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