Join the Cleveland Clinic team, where you will work alongside passionate caregivers and provide patient-first healthcare. Cleveland Clinic is recognized as one of the top hospitals in the nation. At Cleveland Clinic, you will work alongside dedicated caregivers, receive endless support and appreciation, and build a rewarding career with one of the most respected healthcare organizations in the world.   

As a Machine Learning (ML) Engineer, you will:

• Utilizing statistical and machine learning techniques, high-performance data architectures and technologies to address moderate business problems and analyze large, unstructured data sets.  

• Assisting the Senior/Lead Data Scientist or Project Lead on advanced analytic requests.  

• Providing guidance and insight into the daily operations of various departments.  

The ideal caregiver is someone who:

At Cleveland Clinic, we know what matters most. That's why we treat our caregivers as if they are our own family, and we are always creating ways to be there for you. Here, you'll find that we offer: resources to learn and grow, a fulfilling career for everyone, and comprehensive benefits that invest in your health, your physical and mental well-being and your future. When you join Cleveland Clinic, you'll be part of a supportive caregiver family that will be united in shared values and purpose to fulfill our promise of being the best place to receive care and the best place to work in healthcare.

Responsibilities:

• 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.

Education:

• 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.

Technical Languages:

• 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.

Certifications:

• 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.   

Work Experience:

• 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.

Physical Requirements:

• Ability to perform work in a stationary position for extended periods
• Ability to operate a computer and other office equipment
• Ability to communicate and exchange accurate information
• Ability to travel throughout the hospital system

Personal Protective Equipment:

• Follows standard precautions using personal protective equipment as required.