Job TitleSenior Data Scientist

LocationCleveland

FacilityRemote Location

DepartmentDigital Domain-Information Tech Div

Job CodeT98294

ShiftDays

Schedule8:00am-4:30pm

Job Summary

Job Details

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 receive endless support and appreciation and build a rewarding career with one of the most respected healthcare organizations in the world.   

As a Senior Data Scientist, you will utilize statistical and machine learning techniques, high-performance data architectures, and technologies to address complex business problems and analyze large, unstructured data sets. In this role, you will design, implement, and champion data modeling and advanced analytic methods. You will assist in providing guidance to the data scientist group and independently provide guidance to Department, Institute, or Regional Hospital leadership, while participating in the development of best practices.

This role will focus on predictive modeling and forecasting, with opportunities to build generative AI applications, primarily centered on forecasting use cases. You will engage with project stakeholders, including executives and physicians, translating their needs into data science and machine learning solutions. Additionally, you will serve as a mentor to junior developers, supporting their development and guiding their technical contributions.

A caregiver in this role works remotely in Ohio, Florida, or Nevada, Monday through Friday from 8:00 a.m. – 5:00 p.m. (Flexible), with less than 5% travel .

To be considered for this position, caregivers must reside in Ohio, Florida, or Nevada.

A caregiver who excels in this role will:

• Engage business leadership, internal stakeholders, and technology partners to discuss the business benefits that Machine Learning (ML) and Artificial Intelligence (AI) can provide.

• Lead evangelization and Data Science service education activities to stakeholders and internal customers.

• Lead 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.

• Advise 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.

• Champion the launch and implementation of proof-of-concept projects and subsequently operationalizes successful concepts.

• Actively keep up with developments in the field of data science and their potential applications to the organization.

• Be an active contributor to scientific literature and academic partnerships.

• Drive Data Science education to stakeholders and internal customers, 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.

• Lead relationship development and technology evaluation for new prospective enterprise partnerships.

• Lead the instruction of Analytics University curriculum to Cleveland Clinic caregivers.

• Provide and approve peer review model assessment and feedback communication.

• Other duties as assigned.

Minimum qualifications for the ideal future caregiver include:

• 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

Preferred qualifications for the ideal future caregiver include: 

• 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

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

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Personal Protective Equipment:

• Follows standard precautions using personal protective equipment as required.