A Snap Shot of your Day:

How You’ll Make an Impact

• Ensure and support the identification of internal data sources and datasets relevant to demand forecasting!

• Ensure relevant data is available in time through export files or via interfaces by driving internal initiatives with support from management

• Implement data pipelines (data ingestion, data cleansing, and data preparation for analysis) for the creation of datasets used for analyses model building, and scenario planning

• Define data requirements for analysis (e.g., accuracy, consistency)

• Request and initiate internal data correction, if required (e.g., data is incomplete and incorrect)

• Build and maintain models (e.g., causal models to measure and quantify the impact of drivers on!

• demand)

• Establish operationalization through automation (e.g., drive robot reporting initiatives, set up model repositories)

• Prepare regular and ad-hoc reports for stakeholders (model outputs and data visualizations)

• Validate model outputs with subject matter experts

• Send out regular reports and communicate findings to management

• Manage relationships to internal data providers/sources (Service, Berlin, etc.)

• Prepare internal trainings to transfer knowledge to other data experts (i.e., data analysts and data engineers)

What You Bring

• Strong background in general data science topics (e.g., data preparation, mathematical foundations, modeling) - Plus: Prior exposure to causal AI topics (e.g., Bayesian networks) and related software (e.g., BayesiaLab)

• Experience in technical implementation of data science applications, frameworks, and data pipelines - Plus: Basic understanding of software development principles (e.g., modularity, testing, version control), common databases and paradigms, and data management practices

• Keen interest in new technologies and ability to create prototypes - Plus: Experience in using common analytics tools for collaborative project work

• Able to communicate at different levels with partners and to create appropriate data visualizations (Excel, PowerPoint, Alteryx, Tableau)

Qualifications

• Advanced Degree or equivalent experience in STEM (Science, Technology, Engineering, Mathematics) or other field of study with a strong quantitative focus (e.g., Econometrics, Quantitative Finance)

• 2+ years of professional experience developing data science solutions in a business context

• 5+ years of experience in data science-related programming

• 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

Gas Services

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.

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 94,000 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 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.

Check out this video to learn more about Siemens Energy: https://www.siemens-energy.com/employeevideo

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

• 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

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.