Senior Data Scientist / Data Scientist III

Cleveland Clinic

1d•Remote

About The Position

Cleveland Clinic is hiring a Senior Data Scientist or Data Scientist III to use statistical and machine learning techniques, high-performance data architecture, and advanced technologies to address complex business problems and analyze large, unstructured datasets. The caregiver designs, implements, and champions data modeling and advanced analytical methods, guides the data scientist group, and independently advises Department and Institute leadership. The title is based on educational background. The role is remote for caregivers residing in Ohio, Florida, or Nevada. The schedule is Monday through Friday, 8:00 a.m. to 5:00 p.m., with flexibility and less than 5% travel. The position includes collaboration with business leadership, internal stakeholders, technology partners, customers, and prospective enterprise partners. Pay varies according to educational background and relevant experience.

Requirements

For Senior Data Scientist: Bachelor’s degree in a listed or related field and eight years of related experience, including two years in healthcare or life sciences working with relational databases and/or distributed computing platforms and query interfaces; or a Ph.D. and four years of relevant experience; or a master’s degree and six years of relevant experience.
For Data Scientist III: Bachelor’s degree in a listed or related field and six years of related experience working with relational databases and/or distributed computing platforms and query interfaces; or a Ph.D. and two years of relevant experience; or a master’s degree and four years of relevant experience.
Experience working with statistical languages or packages such as SAS, R, Python, Spark, and/or SPSS.
Knowledge of applying advanced statistics to complex business problems, including modeling, AI, machine learning, deep learning, and/or natural language processing.
Familiarity with additional programming languages, including Python, Java, or C/C++.
Experience using visualization software and techniques and business intelligence software.
Technical knowledge of distributed computing platforms and common data processes from instrumentation and generation through ETL to the data warehouse.
Demonstrated leadership qualities, including presentation, influencing, and negotiation.
Excellent written, verbal, and presentation skills in English.
Ability to explain the value of machine learning and artificial intelligence to business leaders.
For Senior Data Scientist, strong business orientation and ability to select appropriate complex quantitative methodologies for specific business goals.
For the Senior Data Scientist role, the bachelor’s-degree experience pathway includes two years of experience in healthcare or life sciences.

Nice To Haves

Master’s or Ph.D.
Certification or fellowship in analytics, big data, data science, or a related subject.
Technology partner certification in technology, big data, business or advanced analytics, or data science, such as Microsoft, Oracle, Teradata, IBM, EMC, Cloudera, Hortonworks, Informatica, Tableau, SAS, R, or Python.
Leadership experience.
Lead experience with project management and change management methodologies.
Experience leading successful projects and mentoring junior developers.
Healthcare or life sciences experience (listed as preferred for Data Scientist III).

Responsibilities

Engage business leaders, internal stakeholders, and technology partners to discuss the business benefits of machine learning and artificial intelligence.
Lead Data Science service education and awareness activities for stakeholders and internal customers.
Lead problem formulation and model building using machine learning and artificial intelligence 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 organizational applications.
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.
Perform independent peer review of models, including assessing and communicating feedback.
Perform other duties as assigned.