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Data Scientist

職缺編號
485016
發布時間
20-十一月-2025
組織
Smart Infrastructure
工作領域
Information Technology
公司
Siemens Industry, Inc.
經驗等級
中級專業人士
工作职位
全職
工作模式
僅辦公室/ 工地
工作性質
長期
地點
  • Spartanburg - South Carolina - 美國
  • 大草原城 - Texas - 美國
  • 沃斯堡 - Texas - 美國

Here at Siemens, we take pride in enabling sustainable progress through technology. We do this through empowering customers by combining the real and digital worlds. Improving how we live, work, and move today and for the next generation! We know that the only way a business thrive is if our people are thriving. That’s why we always put our people first. Our global, diverse team would be happy to support you and challenge you to grow in new ways. Who knows where our shared journey will take you? 

Transform the every day with us!

We are seeking a Data Scientist to join our dynamic team. The ideal candidate will have a strong background in data analysis, machine learning, and statistical modeling. You will work closely with cross-functional teams to extract insights from large datasets, develop predictive models, and contribute to data-driven decision-making processes. You will work with various Siemens’ organizations focused on driving business value and decisions from large data models.

You will make an impact by:

  • Collecting, cleaning, and preprocessing large datasets from various sources.
  • Developing and implementing machine learning models and algorithms to solve complex business problems.
  • Performing exploratory data analysis to identify trends, patterns, and anomalies.
  • Collaborating with stakeholders to understand business requirements and translate them into data-driven solutions.
  • Communicating findings and insights through data visualization and reports.
  • Staying up to date with the latest industry trends and advancements in data science and machine learning.

You’ll win us over by having the following qualifications:

Basic Qualifications:

  • Bachelor’s or Graduate degree in Computer Science, Information Technology, or a related field.
  • At least three years’ experience working as a data engineer, data architect, or related roles.
  • Experience working with cloud platforms, such as AWS, Azure, Snowflake.
  • Experience with machine learning frameworks (e.g., TensorFlow, SageMaker, AzureML)
  • Experience working with real-time data integration techniques and tools, such as Model Context Protocol (MCP), APIs, Kafka.
  • Experience with data visualization tools (e.g., Tableau, Power BI).
  • Legally authorized to work in the United States on a continual and permanent basis without company sponsorship.

Preferred Qualifications:

  • Proven experience as a Data Scientist or in a similar role.
  • Proven experience working with relational databases such as SQL, Postgres
  • Proficiency in programming languages such as Python and/or R
  • Experience working with Manufacturing datasets and industrial protocols (OPC-UA, MQTT)
  • Experience with data governance frameworks and practices.
  • Strong analytical and problem-solving skills.
  • Excellent communication and teamwork abilities.

About Siemens

We are a global technology company focused on industry, infrastructure, transport, and healthcare. From more resource-efficient factories, resilient supply chains, and smarter buildings and grids, to sustainable transportation as well as advanced healthcare, we create technology with purpose adding real value for customers. Learn more about Siemens here.

Our Commitment to Equity and Inclusion in our Diverse Global Workforce

We value your unique identity and perspective. We are fully committed to providing equitable opportunities and building a workplace that reflects the diversity of society, while ensuring that we attract the best talent based on qualifications, skills, and experiences. We welcome you to bring your authentic self and transform the everyday with us.

#LI-VC1 #On-Site #siemenstradesperson #SiemensMFGcareer #MFGFortWorthTX #MFGTX


You’ll Benefit From
Siemens offers a variety of health and wellness benefits to our employees. Details regarding our benefits can be found here: https://www.benefitsquickstart.com/siemens/index.html
The pay range for this position is $102,459 - $193,147 annually with a target incentive of of the base salary. The actual wage offered may be lower or higher depending on budget and candidate experience, knowledge, skills, qualifications, and premium geographic location.

Equal Employment Opportunity Statement
Siemens is an Equal Opportunity Employer encouraging inclusion 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 from discrimination on the basis of race, color, religion, sex, national origin, or any characteristic protected by Federal or other applicable law. 


Reasonable Accommodations
If you require a reasonable accommodation in completing a job application, interviewing, completing any pre-employment testing, or otherwise participating in the employee selection process, please fill out the accommodations form by clicking on this link Accommodation for disability form
If you’re unable to complete the form, you can reach out to our AskHR team for support at 1-866-743-6367. Please note our AskHR representatives do not have visibility of application or interview status.


Pay Transparency
Siemens follows Pay Transparency laws. 


California Privacy Notice
California residents have the right to receive additional notices about their personal information. To learn more, click here.


Criminal History

Qualified applications with arrest or conviction records will be considered for employment in accordance with applicable local and state laws.