Cleveland Clinic

Data Scientist I – Cancer Center

Cleveland Clinic

full-time

Posted on:

Location Type: Remote

Location: Ohio • United States

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Job Level

Junior

Tech Stack

ETLJavaMapReducePythonSparkSQL

About the role

  • Apply statistical and machine learning techniques to solve moderately complex analytical problems involving large, unstructured datasets
  • Support advanced analytics initiatives with a strong focus on large language models (LLMs)
  • Contribute to the development of AI agents, LLM pipelines, and reusable data abstractions
  • Partner with senior and lead data scientists to deliver high-impact analytical solutions
  • Collaborate closely with other data scientists and software engineers
  • Translate analytical concepts into scalable, production-ready systems
  • Participate in model building and development under direction of other Data Scientists
  • Utilize methods in modeling, AI, Machine Learning (ML), Deep Learning (DL), and Natural Language Processing (NLP)

Requirements

  • 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
Benefits
  • Health insurance
  • 401(k) matching
  • Paid time off
  • Professional development opportunities
Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools
statistical techniquesmachine learningdeep learningnatural language processingmodelingdata abstractionrelational databasesSQLPythonR
Soft Skills
written communicationverbal communicationpresentation skillsinfluencingnegotiationcollaborationleadership