Cleveland Clinic · 5 hours ago
Data Scientist III - Healthcare Economics - Finance
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Responsibilities
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.
Lead the launch and implementation of proof-of-concept projects and subsequently operationalize successful concepts.
Keep up with developments in data science and their potential applications to the organization.
Actively contribute to scientific literature and academic partnerships.
Actively contribute to 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 in relationship development and technology evaluation for new prospective enterprise partnerships.
Lead the instruction of Analytics University curriculum to Cleveland Clinic caregivers.
Provide independent peer review model assessment and feedback communication.
Qualification
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Required
Bachelor’s Degree in Statistician, Actuarial Science, Econometrics, Physics, Biostatistics, Computer Science, Applied Mathematics, Engineering, Business Analytics, Economics, Finance, or related field.
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.
Six years of 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 2 years of relevant experience.
OR Master’s degree and 4 years of relevant experience.
Experience working with a variety of statistical languages/packages, e.g., SAS, R, Python, Spark, and/or SPSS.
Knowledge 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 processes flows from data instrumentation & generation, to ETL, to the data warehouse itself.
Demonstrated leadership qualities, including presentation, influencing and negotiation.
Preferred
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
Healthcare/dental/vision
Retirement
Company
Cleveland Clinic
Cleveland Clinic is a non-profit medical center that combines clinical and hospital care with research and education.
H1B Sponsorship
Cleveland Clinic has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2023 (70)
2022 (66)
2021 (81)
2020 (52)
Funding
Current Stage
Late StageTotal Funding
$362.54MKey Investors
National Institutes of HealthNational Cancer InstituteAgency for Healthcare Research and Quality
2023-02-21Grant· $3.14M
2022-09-22Grant· $7.9M
2022-06-30Grant· $14.2M
Recent News
Healthcare IT News
2024-12-05
Company data provided by crunchbase