Data Transformation Lead (f/m/d) (Data Scientist)

Job Description

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A Snapshot of Your Day

As Data Catalyst & eCommerce Lead, you will drive the modernization of the data landscape for your assigned operation, the STG SST Parts operation, supporting our modernization goals. You will perform in‑depth data discovery and develop a priority‑aligned roadmap, lead analysts and scientists through implementation, establish data governance, and contribute to data monetization.

You will play a central role in quality‑to‑transformation efforts, working with your counterparts in other countries to exchange and apply best practices locally. Leveraging the latest technologies, you will help transform legacy data and accelerate digital readiness.

As enhanced data feeds into our eCommerce platform, you will promote adoption among internal customers, directly enabling process automation and business growth. You will operate with the agility of a startup backed by the stability of a global corporation, gaining exposure across the business end‑to‑end. The role offers high visibility and direct reporting to the business, ensuring close alignment with strategic priorities.

How You'll Make an Impact

• Analyze business data to uncover insights, define a data‑modernization and augmentation strategy (rule‑based and AI‑driven), and lead its implementation together with Data Specialists
• Partner with business functions to assess current data usage, quality, and availability; identify pain points; and gather improvement opportunities
• Collaborate with counterparts in other locations to share learnings, align on best practices, and drive process uniformization across regions
• Increase transaction volume and adoption of our e‑Commerce platform ("Energy Shop") among internal customers
• Support strategic inventory management, procurement, pricing, upselling, and customer‑insight-driven offerings
• Transform the data landscape to improve business processes, aligning your objectives with high‑level company goals and driving measurable business performance

What You Bring

• Bachelor's degree (or higher) in Engineering, Computer Science, Business, or a related field
• Several years of experience conducting advanced data analysis using Python; Proficiency in analyzing, manipulating and applying Machine Learning to data; Familiarity with Snowflake, PowerBI including DAX and M is a plus
• Experience in digital product management, project management, consulting, business acumen a plus
• Impeccable communication skills in English and the local language (German or French)
• Creative, analytical thinking, efficient and resourceful
• Strong passion for collaboration, transformation, data management/excellence, including data governance, analytics

About the Team

In our Transformation of Industry division, we offer comprehensive digital portfolio solutions in the oil and gas sector and other process industries comprising rotating equipment, electrification, and solutions for the Subsea business. Our customers are supported with sustainable and mission-critical products, solutions, and services.

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/Benefits

• In addition to an attractive remuneration package in line with the market, you can expect an attractive employer-financed company pension scheme
• We also offer the opportunity to become a Siemens Energy shareholder
• We offer our employees the opportunity to work flexibly and remotely, and our inspiring offices provide space for collaboration and creativity
• The professional and personal development of our employees is very important to us. We provide them with the opportunities to learn and develop in a self-determined way, various attractive programs and learning materials are available for this purpose
• In relation to the "compatibility of family and work", we have a wide range of offers, e.g. flexible working time models, childcare places at many locations, the possibility of trial part-time work or even a sabbatical

We value equal opportunities and welcome applications from people with disabilities.