Join our team at Cleveland Clinic Philanthropy as a Data Scientist, where your expertise will play a crucial role in advancing our mission through innovative data-driven strategies. At Cleveland Clinic, a globally recognized leader in healthcare, we are committed to providing exceptional patient-first care, and your role will be pivotal in supporting this through philanthropic efforts.

　　In this dynamic position, you'll engage in a variety of tasks central to the success of our philanthropy department. Your responsibilities will include analyzing donor data to identify trends and opportunities, developing predictive models to enhance fundraising strategies, and utilizing advanced machine learning techniques to forecast philanthropic income. You'll also be instrumental in data visualization, creating insightful reports and dashboards that inform decision-making and showcase the impact of donations.

　　At Cleveland Clinic, we not only focus on the health and well-being of our patients but also deeply value the growth and development of our staff. As part of our team, you'll enjoy a supportive environment that fosters professional development, alongside a comprehensive benefits package designed for your overall well-being. Join us in our mission to not only be the best place to receive care but also the best place to work in healthcare and philanthropy.Job Description

　　Responsibilities:

　　Gathers requirements and program model development under direction of other Data Scientists to inform problem formulation.

　　Participates in model building.

　　Utilizes methods particularly in the areas of modeling, Artificial Intelligence (AI), Machine Learning (ML), Deep Learning (DL), Natural Language Processing (NLP) and experience designing/implementing solutions.

　　Provides insight and recommendations to solve business problem and help inform business decisions.

　　Documents best practices and solution frameworks. Replicates and scales solutions to business units with common/similar business needs.

　　Uses expertise in defining (with internal clients) the business challenge that needs to be solved, conducting the analysis/modeling/experiment and then providing the 'answer' in a clear and business-friendly manner for our clients to take actionable steps.

　　Participates with more senior data scientists or managers in 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 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 18 months of related experience working with relational databases and/or distributed computing platforms, and their query interfaces, such as SQL, Teradata, MapReduce, PIG, and Hive required.

　　Offset: Master's degree and no 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.

　　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.Pay Range

　　Minimum hourly: $36.80

　　Maximum hourly: $56.13

　　The pay range displayed on this job posting reflects the anticipated range for new hires. While the pay range is displayed as an hourly rate, Cleveland Clinic recruiters will clarify whether the compensation is hourly or salary. A successful candidate's actual compensation will be determined after taking factors into consideration such as the candidate's work history, experience, skill set, and education. This is not inclusive of the value of Cleveland Clinic's benefits package, which includes among other benefits, healthcare/dental/vision and retirement.

　　Cleveland Clinic Health System is pleased to be an equal employment employer: Women / Minorities / Veterans / Individuals with Disabilities