$100K — $150K *
Utilizes statistical and machine learning techniques, high-performance data architectures and technologies to address complex business problems and analyze large, unstructured data sets. Assists senior/lead data scientist or project lead on advanced analytic requests. Provides guidance and insights into the daily operations of various Departments or Institutes.
Engages business leadership, internal stakeholders, and technology partners to discuss the business benefits that Machine Learning (ML) and Artificial Intelligence (AI) can provide.
Leads evangelization and Data Science service education activities to stakeholders and internal customers.
Leads problem formulation, model building and leverages, Machine Learning (ML) and Artificial Intelligence (AI) technology working directly with data to define analytics and synthesize findings that address customer requirements for value generation.
Advises customers and prospects on technology and tool selection to best meet their emerging analytics requirements and to best drive value-generation on existing and future data.
Leads the launch and implementation of proof of concept projects and subsequently operationalizes successful concepts.
Actively keeps up with developments in the field of data science and their potential applications to the organization.
Is an active contributor to scientific literature and academic partnerships.
Is an active contributor in Data Science education to stakeholders and internal customers, in particular, educating the field on how to communicate the vision and value of advanced analytics, how to qualify interested prospects, and how to propose Data Science services.
Leads in relationship development and technology evaluation for new prospective enterprise partnerships.
Leads the instruction of Analytics University curriculum to Cleveland Clinic caregivers.
Provides independent peer review model assessment and feedback communication.
Other duties as assigned.
Bachelor’s Degree in Statistician, Actuarial Science, Econometrics, Physics, Biostatistics, Computer Science, Applied Mathematics, Engineering, Business Analytics, Economics, Finance or related field required.
Master’s or Ph. D. preferred.
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 required.
Certification or fellowship in analytics, big data, data science or related subject preferred
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 preferred.
Complexity of Work:
Requires critical thinking skills, decisive judgment and the ability to work unsupervised or with minimal supervision.
Must be able to work in a stressful environment and take appropriate action.
A strong business-orientation, able to select the appropriate complex quantitative methodologies in response to specific business goals.
Demonstrated team, leadership, organizational, and problem solving abilities.
A minimum of 6 years related experience working with relational databases and/or distributed computing platforms, and their query interfaces, such as SQL, Teradata, MapReduce, PIG, and Hive.
Offset: Ph.D. and 2 years of relevant experience.
Offset: Master’s degree and 4 years of relevant experience.
Healthcare or life science experience preferred.
Experience working with a variety of statistical languages/packages, e.g., SAS, R, Python, Spark, and/or SPSS required.
Leadership experience preferred.
Knowledge 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++.
Lead Experience with project management and change management methodologies preferred.
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.
Manual dexterity to operate office equipment.
May require periods of sitting, standing and the ability to walk to various locations throughout the Foundation to attend meetings.
Must have normal or correction vision and ability to clearly communicate verbally by phone or in person.
Personal Protective Equipment:
Follows standard precautions using personal protective equipment as required.
Valid through: 11/9/2021