AI Automation and Advanced Analytics Expert

Über die Aufgabe

Standort
UNITED STATES OF AMERICA
North Carolina
Raleigh
  • Land: UNITED STATES OF AMERICA
  • Bundesland/Kanton/Bezirk: North Carolina
  • Stadt: Charlotte

  • Land: UNITED STATES OF AMERICA
  • Bundesland/Kanton/Bezirk: Florida
  • Stadt: Orlando

Remote oder Büro
Hybrid (Remote/Büro)
Unternehmen
Siemens Energy, Inc.
Organisation
Grid Technologies
Geschäftsbereich
Substations
Vollzeit / Teilzeit
Vollzeit
Erfahrungsniveau
Erfahrene Fachkraft

 A Snapshot of Your Day

An AI Automation and Advanced Analytics Expert starts the day by aligning priorities with business needs and ongoing digital initiatives, then focuses on developing and refining AI/ML and NLP solutions to improve project execution. The role involves close collaboration with cross-functional teams and IT to translate business challenges into data-driven solutions, while managing data systems and generating actionable insights. Throughout the day, the expert drives digital transformation through automation, advanced analytics, and modern tools, while mentoring teams and promoting a data-driven culture. The day concludes with stakeholder updates, progress review, and planning next steps to ensure continuous improvement.

 

How You’ll Make an Impact 

  • Drive the development and implementation of advanced data analytics solutions with focus on natural language processing NLP and ML techniques
  • Support the implementation of data driven project execution methodologies across the engineering, bid management, project management and procurement disciplines
  • Coordinate data integration and analysis requirements as well as solutions with IT
  • Define required data integration and analysis capabilities for the organization - train the team
  • Join the expert network across different business areas, including IT and stay up-to-date on latest data science and ML techniques
  • Ensure effective communication with project stakeholders
  • Manage databases, data systems, and warehouses supporting business analytics and reporting.
  • Will collaborate with cross-functional teams to identify areas for improvement and opportunities for growth
  • Utilize analytical skills to collect, interpret, and analyze complex data from various sources, providing insights to drive strategic business decisions.
  • Develop and implement data collection systems, analytics, and strategies to optimize statistical efficiency and data quality, with a focus on achieving business excellence.
  • Drive the transformation into a digital controlling environment by implementing modern front-end tools and promoting digitalization projects.

 

What You Bring 

  • Master’s degree in computer science, data science, applied mathematics, statistics or comparable engineering/IT discipline preferred
  • Minimum 2+ years of experience in developing AI applications and integration of AI with existing applications
  • Enthusiastic about unleashing the full potential of data, data analytics and AI/ML solutions in operative business processes
  • Advanced programming skills with Python and other relevant programming languages (e.g., Java, JavaScript)
  • Proficiency in data manipulation, analysis, and visualization tools (Alteryx, Tableau, PowerBI).
  • Proficiency with database management systems (e.g., SQL and NoSQL)
  • Experience with cloud platforms (e.g., AWS, Azure and GCP).
  • Excellent team player in global interdisciplinary teams
  • Experience working within Agile or Scrum frameworks
  • Open mindset to new technologies and enthusiastic to continuously learn
  • Analytical mindset and a systematic style of working
  • Fluent English is a must - excellent communication and presentation skill
  • Applicants must be legally authorized for employment in the United States without 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

Grid Technologies

Our Grid Technology division enables a reliable, sustainable, and digital grid. The power grid is the backbone of the energy transition. Siemens Energy offers a leading portfolio and solutions in HVDC transmission, grid stabilization and storage, high voltage switchgears and transformers, and digital grid technology.

 

Who is Siemens Energy?

 

At Siemens Energy, we are more than just an energy technology company. With ~100,000 dedicated employees in more than 90 countries, we develop the energy systems of the future, ensuring that the growing energy demand of the global community is met reliably and sustainably. The technologies created in our research departments and factories drive the energy transition and provide the base for one sixth of the world's electricity generation.

 

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.

 

Find out how you can make a difference at Siemens Energy: https://www.siemens-energy.com/employeevideo

 

Rewards

 

  • Career growth and development opportunities; supportive work culture
  • Company paid Health and wellness benefits
  • Paid Time Off and paid holidays
  • 401K savings plan with company match
  • Family building benefits
  • Parental leave

 

https://jobs.siemens-energy.com/jobs

 

Erklärung zur beruflichen Chancengleichheit

Siemens Energy ist ein Arbeitgeber, der sich für Chancengleichheit und Affirmative Action einsetzt und Vielfalt am Arbeitsplatz fördert. Alle qualifizierten Bewerbenden werden unabhängig von Rasse, Hautfarbe, Glauben, Religion, nationaler Herkunft, Staatsbürgerschaft, Abstammung, Geschlecht, Alter, körperlicher oder geistiger Behinderung, die nicht mit den Fähigkeiten in Verbindung steht, Familienstand, familiären Verpflichtungen, Schwangerschaft, genetischen Informationen, sexueller Orientierung, Ausdruck der Geschlechtlichkeit, geschlechtlicher Identität, Transgender, Geschlechterstereotypisierung, Schutzstatus, geschütztem Veteranen- oder Militärstatus oder einer nachteiligen Entlassung aus dem Militärdienst und anderen durch Bundes-, Landes- oder lokale
Gesetze geschützte Kategorien im Einstellungsprozess berücksichtigt.

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