Data Scientist - Healthcare

Siemens

Aussicht: 157

Update Tag: 18-03-2024

Ort: Zug Zug ZG

Kategorie: IT - Software

Industrie: Appliances Electrical Electronics Manufacturing

Position: Associate

Jobtyp: Full-time

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Jobinhalt

Who we are | Our culture:

Siemens Smart Infrastructure (SI) is shaping the market for intelligent, adaptive infrastructure for today and the future. It addresses the pressing challenges of urbanization and climate change by connecting energy systems, buildings, and industries. SI provides customers with a comprehensive end-to-end portfolio from a single source – with products, systems, solutions and services from the point of power generation all the way to consumption. With an increasingly digitalized ecosystem, it helps customers thrive and communities progress while contributing toward protecting the planet. SI creates environments that care. Siemens Smart Infrastructure has its global headquarters in Zug, Switzerland, and has around 71,000 employees worldwide

What does a Data Scientist do, you ask?

The smart hospital is becoming an increasingly common reality. As a result, buildings across the healthcare industry are producing more data than ever before. We seek an enthusiastic candidate to join a global team of data scientists and machine learning experts focused on making the most of this data. They will work on defining and implementing data science projects with a focus on the healthcare sector. This will involve discussing the customer needs we need to address with domain experts, exploratory data analysis to provide insights and communication of the results with stakeholders. Finally, the analytics developed will be scaled up with the help of machine learning experts and development teams to be integrated into our portfolio of digital services.

We foster an ownership culture, in which every employee takes personal responsibility for our company’s success. We trust and empower our leaders to act as owners, advise their teams, and innovate to succeed. We communicate openly and honestly to learn from our failures and celebrate our successes. We recognize individual and team achievements frequently. We invest in our team members, offering a wide variety of internal and external development opportunities.

What you will do:

  • Work with life science domain experts defining new data focused offerings.
  • Complete complex analysis on the behavior of buildings used in the life sciences sector.
  • Utilize machine learning and statistics to provide deeper insights.
  • Work with data engineers and development teams to deploy models.
  • Ability to travel globally for this position.
  • Lives and promotes Siemens Values.
What you need for this role:

  • Minimum Bachelor’s degree, postgraduate qualifications an advantage.
  • 2 plus years experience working with data analysis, ideally in a healthcare context; will also consider candidates that do not have data anaylsis experience in the healthcare field that want to get into Data Analysis.
  • Data visualization skills and ability to communicate the results.
  • Knowledge of python or other data focused languages (SQL, MATLAB, R, Julia).
  • Foundational knowledge of statistics and machine learning.
  • Experience working in the healthcare industry, ideally with exposure to facilities, would be an advantage
Join us! Together we can build a better future for our world.

We’ve got quite a lot to offer. How about you?

Benefits:

  • Competitive salary based on qualifications
  • Competitive paid time off plan, holidays, and floating holidays
  • Paid parental leave
Organization: Smart Infrastructure

Company: Siemens Industry, Inc.

Experience Level: Early Professional

Job Type: Full-time

Equal Employment Opportunity Statement

Siemens 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.

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Applicants and employees are protected under Federal law from discrimination. To learn more, Click here.

Pay Transparency Non-Discrimination Provision

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Frist: 02-05-2024

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