****This position is open to Ohio-based candidates only**** Join Cleveland Clinic's Main Campus where research and surgery are advanced, technology is leading-edge, patient care is world-class, and caregivers are family. Cleveland Clinic is recognized as one of the top hospitals in the country. You will work alongside passionate and dedicated caregivers, receive endless support and appreciation, and build a rewarding career with one of the most respected healthcare organizations in the world. The Data Scientist applies statistical and machine learning techniques, along with modern data architectures, to solve moderately complex analytical problems involving large, unstructured datasets. This role supports advanced analytics initiatives with a strong focus on large language models (LLMs), contributing to the development of AI agents, LLM pipelines, and reusable data abstractions. The Data Scientist partners with senior and lead data scientists to deliver high-impact analytical solutions that support clinical, operational, and research goals within the Cancer Center. This role collaborates closely with other data scientists and software engineers, and occasionally program managers, to translate analytical concepts into scalable, production-ready systems. Top performers bring strong Python development skills, hands-on experience in data science and LLM-based workflows, and healthcare domain expertise preferably in oncology combined with the ability to work effectively in cross-functional, highly technical teams. **A caregiver in this position works days, from 8:00am-5:00pm.** 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 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 + 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 OR Master's Degree can substitute for 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 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 + Experience building and optimizing machine learning or large language models (LLMs) enabled pipelines within modern data platforms such as Snowflake or DataBricks + Experience fine-tuning, evaluating, deploying large language models (LLMs) for domain specific use cases + Python experience **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 Annual Salary: $76,540.00 Maximum Annual Salary: $116,747.50 The pay range displayed on this job posting reflects the anticipated range for new hires. 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. The pay range displayed does not include any applicable pay practices (e.g., shift differentials, overtime, etc.). The pay range does not include the value of Cleveland Clinic's benefits package (e.g., healthcare, dental and vision benefits, retirement savings account contributions, etc.). Cleveland Clinic Health System is pleased to be an equal employment employer: Women / Minorities / Veterans / Individuals with Disabilities