Siemens

Data Scientist

Siemens

Cary, NC, USA
Full-TimeDepends on ExperienceSenior LevelMasters
Job Description

Welcome to the world of Siemens, where innovation and technology meet to create a better tomorrow. As a Data Scientist, you will be a part of our dynamic team, using your analytical and problem-solving skills to turn raw data into valuable insights. We are looking for a highly motivated individual who is passionate about using data to drive business decisions. With our cutting-edge technology and global reach, this is an exciting opportunity for someone who is eager to make an impact. Join us and be a part of shaping the future of Siemens.

  1. Conduct data analysis and utilize advanced statistical techniques to identify trends, patterns, and insights from large datasets.
  2. Develop predictive models and algorithms to support business decisions and drive revenue growth.
  3. Collaborate with cross-functional teams to identify business needs and provide data-driven solutions.
  4. Present findings and recommendations to stakeholders at all levels, including senior management.
  5. Continuously monitor and evaluate data quality to ensure accuracy and validity of results.
  6. Translate complex data into easy-to-understand visualizations and reports for non-technical audiences.
  7. Keep up-to-date with the latest industry trends and advancements in data science to drive innovation within the company.
  8. Utilize various data mining and machine learning techniques to improve data analysis processes.
  9. Work with large and complex datasets from multiple sources to create a comprehensive understanding of the business.
  10. Collaborate with IT teams to ensure data infrastructure and systems are optimized for data analysis and modeling.
  11. Act as a subject matter expert and provide guidance on data-related projects and initiatives.
  12. Identify opportunities to apply data-driven approaches to improve business processes and drive efficiency.
  13. Take ownership of projects, adhering to timelines and ensuring high-quality deliverables.
  14. Actively participate in team meetings and contribute ideas for improving data analysis processes.
  15. Adhere to company policies and procedures, including data privacy and security regulations.
Where is this job?
This job is located at Cary, NC, USA
Job Qualifications
  • Strong Analytical And Problem-Solving Skills.

  • Bachelor's Or Master's Degree In Data Science, Computer Science, Statistics, Or A Related Field.

  • Proficiency In Programming Languages Such As Python, R, And Sql.

  • Experience With Data Visualization Tools Such As Tableau Or Power Bi.

  • Knowledge Of Machine Learning Techniques And Algorithms, Including Experience With Data Modeling And Predictive Analytics.

Required Skills
  • Programming

  • statistical analysis

  • Big Data

  • Machine Learning

  • Data Manipulation

  • Data Visualization

  • Natural language processing

  • Data Mining

  • Predictive modeling

  • Time series analysis

  • Pattern Recognition

Soft Skills
  • Communication

  • Conflict Resolution

  • Emotional Intelligence

  • Leadership

  • Time management

  • creativity

  • Attention to detail

  • Teamwork

  • Adaptability

  • Problem-Solving

Compensation

According to JobzMall, the average salary range for a Data Scientist in Cary, NC, USA is between $80,000 and $140,000 per year. However, salaries can vary depending on factors such as experience, education, and industry.

Additional Information
Siemens is an Equal Opportunity Employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. We do not discriminate based upon race, religion, color, national origin, sex, sexual orientation, gender identity, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics.
Required LanguagesEnglish
Job PostedJuly 1st, 2024
Apply BeforeJune 21st, 2025
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About Siemens

Siemens Corporation is a U.S. subsidiary of Siemens AG, a global powerhouse focusing on the areas of power generation and distribution, intelligent infrastructure for buildings and distributed energy systems, and automation and digitalization in the process and manufacturing industries. For more than 160 years, the company has innovated and invented technologies to support American industry spanning manufacturing, energy, healthcare and infrastructure.

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