Data Scientist I - Center for Diagnostics and Artificial Intelligence

As a Data Scientist, you will apply statistical and machine learning techniques, along with high-performance data architectures and technologies, to address moderately complex business problems and analyze large, unstructured datasets. In this role, you will support senior and lead data scientists or project leads in fulfilling advanced analytical requests and developing data-driven solutions. You will directly contribute to Cleveland Clinic’s strategic initiatives to advance the integration of artificial intelligence (AI) and machine learning into operational activities, patient care, and research.

This position will support the Center for Diagnostics and Artificial Intelligence (CDAI) by designing, developing, deploying, and maintaining robust, scalable AI and machine learning algorithms and applications under the direction of the Director of PLMI Analytics and Co-Directors of CDAI. You will provide operational reporting and analytical support for PLMI Analytics to advance the Center’s objectives and support the development of innovative, data-driven solutions.

A caregiver in this role works remotely from 8:30 a.m. – 5:00 p.m.

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 the areas of 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.
• 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 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
• Excellent written, verbal, and presentation skills in English
• Ability to explain the value of Machine Learning (ML) and Artificial Intelligence (AI) to business leaders
• A strong business-orientation, ability to select the appropriate complex quantitative methodologies in response to specific business goals
• Demonstrated team, leadership, organizational, and problem-solving abilities
• 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 Degree in Data Science or related field
• 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
• Experience in healthcare or life sciences environments
• Experience developing machine learning models, AI algorithms, and advanced analytics solutions
• Experience building and implementing AI or machine learning tools
• Experience with Tableau or similar data visualization platforms
• Knowledge of healthcare datasets, particularly within laboratory or diagnostic environments
• Strong proficiency in Python
• Advanced SQL skills
• Experience working with relational databases
• Practical experience leading or contributing to data science projects and developing machine learning models and AI solutions

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.