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
Company H1B Sponsorship