Data Scientist 1

Join us in pioneering breakthroughs in healthcare. For everyone. Everywhere. Sustainably.

Our inspiring and caring environment forms a global community that celebrates diversity and individuality. We encourage you to step beyond your comfort zone, offering resources and flexibility to foster your professional and personal growth, all while valuing your unique contributions.

Company:                   Siemens Medical Solutions USA, Inc.

Location:                     221 Gregson Dr, Cary, NC 27511

Position Title:              Data Scientist 1

Salary:                         $ 93,738 - $113,200 / year

Hours:                         Monday – Friday, 9:00 am to 5pm

Summary of Duties:    Automate and create visualizations of key business metrics. Write production code to produce data infrastructure and automation of tasks. Ongoing development of ad-hoc and production level analytics, providing insights from data. Provide compelling, engaging and persuasive fact-based arguments. Set clear priorities to optimally complete work tasks and allocate resources efficiently. Communicate and consult with partners at all levels within the organization. Work in an agile framework and communicate progress as necessary. Hybrid work permitted.  Must report to the Company’s office in Cary, NC 2 days/wk. 

Qualifications:             The position requires a Bachelor’s degree or foreign equivalent in Computer Science, Analytics, Data Science, Mathematics, Statistics, Operations Research or a related field and three (3) years of experience in the job offered or an acceptable alternate occupation. Will alternately accept a Master’s degree or foreign in Computer Science, Analytics, Data Science, Mathematics, Statistics, Operations Research or a related field and one (1) year of experience in the job offered or an acceptable alternate occupation. The position requires experience in the following: Experience in data analytics applied to medical devices using programming languages like SQL, Python, R, and SAS; Experience creating data visualizations and insights for production or research use to monitor medical device repair time, healthcare survey drop-out rate or ballistocardiogram (BCG) signal; Experience in data pipeline scheduling tools like airflow, dbt, or SAS data integration studio to automate ETL pipeline for predicting medical service engineer's workload; Experience with version control and file sharing platforms like Azure DevOps or Github; Experience building dashboard using Qlikcloud or Tableau to explore attributes correlating with medical service engineer workload, or population participating healthcare survey.

Who we are: We are a team of more than 72,000 highly dedicated Healthineers in more than 70 countries. As a leader in medical technology, we constantly push the boundaries to create better outcomes and experiences for patients, no matter where they live or what health issues they are facing. Our portfolio is crucial for clinical decision-making and treatment pathways.

How we work: When you join Siemens Healthineers, you become one in a global team of scientists, clinicians, developers, researchers, professionals, and skilled specialists, who believe in each individual’s potential to contribute with diverse ideas. We are from different backgrounds, cultures, religions, political and/or sexual orientations, and work together, to fight the world’s most threatening diseases and enable access to care, united by one purpose: to pioneer breakthroughs in healthcare. For everyone. Everywhere. Sustainably.

To find out more about Siemens Healthineers businesses, please visit our company page here.

Equal Employment Opportunity Statement: Siemens Healthineers is an Equal Opportunity and Affirmative Action Employer encouraging diversity in the workplace. All qualified applicants will receive consideration for employment without regard to their race, color, creed, religion, national origin, citizenship status, ancestry, sex, age, physical or mental disability unrelated to ability, marital status, family responsibilities, pregnancy, genetic information, sexual orientation, gender expression, gender identity, transgender, sex stereotyping, order of protection status, protected veteran or military status, or an unfavorable discharge from military service, and other categories protected by federal, state or local law.

EEO is the Law: Applicants and employees are protected under Federal law from discrimination. To learn more, click here