• The Data Scientist combines advanced analytics and machine learning with deep domain knowledge to generate clinical and operational insights, build predictive models, and support decision-making across the healthcare ecosystem. • Prepare and analyze large and complex datasets to identify trends, patterns, and insights that drive business decisions. • Develop, implement, and optimize machine learning models, including Generative AI, for predictive analytics, classification, and other applications. • Apply statistical techniques to analyze data and build models that forecast future trends and behaviors (e.g., risk stratification, disease progression, readmission likelihood). • Create compelling data visualizations and dashboards to effectively communicate findings and insights to stakeholders. • Connect and match within and across data sources both internal/ external to augment and enhance analyses. • Work closely with cross-functional teams, including data engineers, software developers, and business analysts, to gather requirements and deliver data solutions. • Stay current with industry trends and advancements in data science and integrate new techniques and tools into existing workflows. • Identify, review, and execute impactful analytical approaches from industry whitepapers. • Translate complex data into actionable insights to support clinical decision-making, care optimization, and operational efficiency, often through dashboards or reports. • Collaborate with clinicians, informaticists, and SMEs to derive relevant features from health data, such as comorbidity indices, lab value trajectories, or time-to-treatment measures. • Ensure data use complies with HIPAA, 42 CFR Part 2, and other applicable regulations. • Apply de-identification, data masking, or differential privacy techniques when needed. • Help define and sometimes implement workflows for data acquisition, preprocessing, and model inference pipelines, often in cloud-based environments (e.g., AWS, Azure). • Identify and mitigate potential biases in data or models, and ensure outputs are interpretable by clinical or policy stakeholders. • Monitor model performance over time and retrain or recalibrate as necessary to maintain accuracy and relevance in evolving clinical environments.

At Cleveland Clinic Health System, we believe in a better future for healthcare. And each of us is responsible for honoring our commitment to excellence, pushing the boundaries and transforming the patient experience, every day. We all have the power to help, heal and change lives — beginning with our own. That’s the power of the Cleveland Clinic Health System team, and The Power of Every One. Job Title Research Data Scientist III - Brain Research Location Cleveland Facility Cleveland Clinic Main Campus Department NI Administration-Neurological Institute Job Code T98296 Shift Days Schedule 8:00am-5:00pm Job Summary Job Details Join the Cleveland Clinic team where you will work alongside passionate caregivers and provide patient-first healthcare. Here, you will receive endless support and appreciation while building a rewarding career with one of the most respected healthcare organizations in the world. A Data Scientist III in Brain Research is a senior, research-focused professional who applies advanced analytics, statistical modeling, and machine learning to support neuroscience studies and clinical discovery. In close partnership with Principal Investigators (PIs), this role designs and executes research initiatives using multimodal neuroimaging data—including MRI, fMRI, and DTI—to examine structural and functional changes across the brain. Key responsibilities include developing Python-based computational workflows for data preprocessing, analysis, and modeling; testing and validating hypotheses across specific brain regions; and translating complex analytical results into clear, actionable insights for research and publication. The role also involves collaborating with cross-functional teams to design and build data-driven software systems, such as analytics platforms, data pipelines, and machine learning–enabled applications. This position plays a critical role in advancing disease-focused research including Alzheimer’s disease, stroke, and epilepsy by uncovering patterns in brain data that inform diagnosis, disease progression, and treatment strategies. Additionally, the Data Scientist III develops new software, data models, and proof-of-concept solutions, ensuring rigorous testing and validation to deliver reliable, production-quality outcomes while working closely with PIs throughout the research lifecycle. *This role is remote, with a preference for candidates based in Nevada to support West Coast hours. Caregivers may work remotely while supporting time zones across Ohio, Florida, or Nevada.* A caregiver in this position works M-F| 8:00am—5:00pm| no weekends or holidays. A caregiver who excels in this role will: - Gather requirements and program model development under direction of other Data Scientists to inform problem formulation. - Participate in model building. - Utilize methods particularly in modeling, Artificial Intelligence (AI), Machine Learning (ML), Deep Learning (DL), Natural Language Processing (NLP) and experience designing/implementing solutions. - Provide insight and recommendations to solve business problems and help inform business decisions. - Document best practices and solution frameworks. - Replicate and scale solutions to business units with common/similar business needs. - Use 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. - Participate with more senior data scientists or managers in peer review model assessment and feedback communication. Minimum qualifications for the ideal future caregiver include: - Bachelor’s Degree in Statistics, Actuarial Science, Econometrics, Physics, Biostatistics, Computer Science, Applied Mathematics, Engineering, Business Analytics, Economics, Finance or related field and 4 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 - OR Master’s Degree and 2 years of relevant experience - 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 - 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 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 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 - Healthcare or life science experience - Lead Experience with project management and change management methodologies - Prior experience working with neuroimaging data 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. The policy of Cleveland Clinic Health System and its system hospitals (Cleveland Clinic Health System) is to provide equal opportunity to all of our caregivers and applicants for employment in our drug free environment. All offers of employment are followed by testing for controlled substances. Cleveland Clinic Health System administers an influenza prevention program. You will be required to comply with this program, which will include obtaining an influenza vaccination on an annual basis or obtaining an approved exemption. Decisions concerning employment, transfers and promotions are made upon the basis of the best qualified candidate without regard to color, race, religion, national origin, age, sex, sexual orientation, marital status, ancestry, status as a disabled or Vietnam era veteran or any other characteristic protected by law. Information provided on this application may be shared with any Cleveland Clinic Health System facility. If applying for a Florida position, please see the following website for more information on the background screening requirements required by the Agency of Health Care Administration: https://info.flclearinghouse.com/ Please review the Equal Employment Opportunity poster. Cleveland Clinic is pleased to be an equal employment opportunity employer.

• Develop, validate, version, and monitor commercial models using machine learning algorithms and advanced statistics • Conduct analyses and studies to support the commercial team's decisions • Develop and maintain data pipelines and model lifecycle processes • Work alongside the Sales team and peers with a collaborative attitude • Stay up to date on new ML/AI and Analytics techniques and trends

Summary We are seeking a senior data scientist to lead our demand modeling and product advancement efforts. As an early RightsHelper hire, you would help oversee and develop key components of our industry-leading RightsHelper platform. The ideal candidate has experience building and maintaining accurate and interpretable models for pricing, forecasting, or marketing applications in a fast-paced, enterprise environment. Our platform provides a unique opportunity for senior data scientists to work closely with leading sports and live event organizations in developing innovative techniques and advancing their decision-making. Job Functions - Develop (and improve upon) robust and extensible production demand modeling, sales forecasting, pricing, and ticket inventory optimization applications that successfully enable demand-based decision-making across sports and live event organizations. - Support junior Data Science team members in efficiently resolving complex issues that extend beyond existing documentation and guidance. - Perform model calibration processes for select partner organizations; this includes externally interacting with partner analytics leaders and successfully delivering on their specific priorities. - Improve internal and external RightsHelper modeling product documentation and internal process guidance. - Maintain and improve upon codebase with version control, collaboration, and general software development best practices. - Provide strategic input on product development, data collection, data architecture, front-end development, and general business strategy. - Help build a collaborative engineering culture focused on ownership and empathy for our customers.