Siemens Energy
Data Scientist (Manufacturing Industry)
Siemens Energy, Gibsonton, Florida, United States, 33534
A Snapshot of Your Day
As a Data Scientist at Siemens Energy, you'll dive into large datasets to uncover insights that drive significant improvements in our manufacturing processes! You'll spend your day collaborating with multi-functional teams, developing predictive models, and applying 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! You can expect a supportive and dynamic team culture that values continuous learning and technological advancement.
How You’ll Make an Impact
Data Analysis and Modeling: Collect, clean, and analyze large datasets to identify trends and insights. Develop and implement predictive models and machine-learning algorithms to optimize manufacturing processes.
Multi-functional Collaboration: Work with engineering, production, and quality assurance teams to understand data needs and provide actionable insights. Communicate complex findings to non-technical partners.
Process Optimization: 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.
Technology Integration: Stay updated with the latest developments in data science and machine learning. Evaluate and integrate new tools and technologies to improve our analytical capabilities.
Data Quality Management: Ensure data integrity, confidentiality, and security. Develop and maintain data management policies and procedures.
What You Bring
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).
Excellent problem-solving skills and the ability to analyze sophisticated situations.
Strong communication skills to explain sophisticated concepts to non-technical audiences.
Collaborative team-player with the ability to manage numerous projects simultaneously.
Applicants must be legally authorized for employment in the United States without the need for current or future employer-sponsored work authorization. Siemens Energy employees with current visa sponsorship may be eligible for internal transfers.
About the Team
Our Gas Services division offers Low-emission power generation through service and decarbonization. Zero or low emission power generation and all gas turbines under one roof, steam turbines and generators. Decarbonization opportunities through service offerings, modernization, and digitalization of the fleet.
Check out this video to learn more about our Gas Service business https://www.siemens-energy.com/global/en/offerings/power-generation.html
Who is Siemens Energy?
At Siemens Energy, we are more than just an energy technology company. We meet the growing energy demand across 90+ countries while ensuring our climate is protected. With more than 96,000 dedicated employees, we not only generate electricity for over 16% of the global community, but we’re also using our technology to help protect people and the environment.
Our global team is committed to making sustainable, reliable, and affordable energy a reality by pushing the boundaries of what is possible. We uphold a 150-year legacy of innovation that encourages our search for people who will support our focus on decarbonization, new technologies, and energy transformation.
Our Commitment to Diversity
Lucky for us, we are not all the same. Through diversity, we generate power. We run on inclusion and our combined creative energy is fueled by over 130 nationalities. Siemens Energy celebrates character – no matter what ethnic background, gender, age, religion, identity, or disability. We energize society, all of society, and we do not discriminate based on our differences.
Rewards
Career growth and development opportunities
Supportive work culture and a healthy work- life balance
Flexible work environment with flex hours, telecommuting, and digital workspaces.
Competitive total rewards package
Flexible benefits and savings programs
Rewarding vacation entitlement with the opportunity to buy and sell vacation.
Parental leave
Profit sharing
Contribute to our social responsibility initiatives.
Continual learning through the Learn@Siemens-Energy platform.
Jobs & Careers: https://www.siemens-energy.com/global/en/company/jobs.html
Equal Employment Opportunity Statement
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
law.
As a Data Scientist at Siemens Energy, you'll dive into large datasets to uncover insights that drive significant improvements in our manufacturing processes! You'll spend your day collaborating with multi-functional teams, developing predictive models, and applying 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! You can expect a supportive and dynamic team culture that values continuous learning and technological advancement.
How You’ll Make an Impact
Data Analysis and Modeling: Collect, clean, and analyze large datasets to identify trends and insights. Develop and implement predictive models and machine-learning algorithms to optimize manufacturing processes.
Multi-functional Collaboration: Work with engineering, production, and quality assurance teams to understand data needs and provide actionable insights. Communicate complex findings to non-technical partners.
Process Optimization: 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.
Technology Integration: Stay updated with the latest developments in data science and machine learning. Evaluate and integrate new tools and technologies to improve our analytical capabilities.
Data Quality Management: Ensure data integrity, confidentiality, and security. Develop and maintain data management policies and procedures.
What You Bring
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).
Excellent problem-solving skills and the ability to analyze sophisticated situations.
Strong communication skills to explain sophisticated concepts to non-technical audiences.
Collaborative team-player with the ability to manage numerous projects simultaneously.
Applicants must be legally authorized for employment in the United States without the need for current or future employer-sponsored work authorization. Siemens Energy employees with current visa sponsorship may be eligible for internal transfers.
About the Team
Our Gas Services division offers Low-emission power generation through service and decarbonization. Zero or low emission power generation and all gas turbines under one roof, steam turbines and generators. Decarbonization opportunities through service offerings, modernization, and digitalization of the fleet.
Check out this video to learn more about our Gas Service business https://www.siemens-energy.com/global/en/offerings/power-generation.html
Who is Siemens Energy?
At Siemens Energy, we are more than just an energy technology company. We meet the growing energy demand across 90+ countries while ensuring our climate is protected. With more than 96,000 dedicated employees, we not only generate electricity for over 16% of the global community, but we’re also using our technology to help protect people and the environment.
Our global team is committed to making sustainable, reliable, and affordable energy a reality by pushing the boundaries of what is possible. We uphold a 150-year legacy of innovation that encourages our search for people who will support our focus on decarbonization, new technologies, and energy transformation.
Our Commitment to Diversity
Lucky for us, we are not all the same. Through diversity, we generate power. We run on inclusion and our combined creative energy is fueled by over 130 nationalities. Siemens Energy celebrates character – no matter what ethnic background, gender, age, religion, identity, or disability. We energize society, all of society, and we do not discriminate based on our differences.
Rewards
Career growth and development opportunities
Supportive work culture and a healthy work- life balance
Flexible work environment with flex hours, telecommuting, and digital workspaces.
Competitive total rewards package
Flexible benefits and savings programs
Rewarding vacation entitlement with the opportunity to buy and sell vacation.
Parental leave
Profit sharing
Contribute to our social responsibility initiatives.
Continual learning through the Learn@Siemens-Energy platform.
Jobs & Careers: https://www.siemens-energy.com/global/en/company/jobs.html
Equal Employment Opportunity Statement
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
law.