Data Scientist

As a Data Scientist at Siemens Energy, you'll be responsible for driving significant improvements in our manufacturing processes by uncovering insights from large datasets. You'll collaborate with multi-functional teams, develop predictive models, and apply advanced data science techniques to tackle real-world problems.

Your work will enhance product quality, reduce costs, and increase efficiency, directly impacting Siemens Energy's mission to innovate and lead in the energy sector.

Key Responsibilities:

• Collect, clean, and analyze large datasets to identify trends and insights.
• Develop and implement predictive models and machine-learning algorithms to optimize manufacturing processes.
• Work with engineering, production, and quality assurance teams to understand data needs and provide actionable insights.
• See opportunities for improving efficiency, reducing waste, and enhancing product quality using data-driven approaches.
• Implement advanced analytics solutions for supervising and improving manufacturing performance.
• Stay updated with the latest developments in data science and machine learning.
• Ensure data integrity, confidentiality, and security.

Requirements:

• Bachelor's/Master's degree in Data Science, Statistics, Computer Science, Engineering, or a related field.
• 5+ years of experience as a Data Scientist with a strong preference in a manufacturing, industrial, or heavy industry environment.
• Solid understanding of statistical analysis, machine-learning algorithms, and predictive modeling, including AWS Sagemaker.
• Proficiency in programming languages such as Python and SQL.
• Experience with data visualization tools (e.g., Tableau, Power BI) and big-data technologies (e.g., Hadoop, Spark).

Siemens Energy 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 laws.