Job Family: Internal ServicesReq ID: 406438Strategic Student Program (SSP)Discover your career with us at Siemens Industry Software!We are a leading global software company dedicated to the world of computer aided design, 3D modeling and simulation— helping innovative global manufacturers design better products, faster! With the resources of a large company, and the energy of a software start-up, we have fun together while creating a world class software portfolio. Our culture encourages creativity, welcomes fresh thinking and focuses on growth, so our people, our business, and our customers can achieve their full potential.We’re currently recruiting students for our summer 2024 Strategic Student Program. Our intern positions will allow you to find a career path that most inspires you. Here, you will apply your education to solve real-world problems, and turn theory into practice. At Siemens, our goal is to empower our students to become the next leaders of our company.Baseline Requirements:
Currently enrolled as a university master’s student
Minimum 3.0 GPA
Authorized to work in the United States without the need for current or future sponsorship by the company
Graduation year 2024 or 2025
Comfortable working remotely
Perks:
Paid volunteer time off
Employee discounts at our top customer sites
Networking with our global leaders
Mentorship from senior engineers
Individual career development planning
Professional and technical workshops
Energetic student community
Leadership opportunities
Potential for full time offers after university graduation and completion of the program
Data Science and Analytics InternSiemens Digital Industries Software, strategy team is looking for a data science and analytics intern to help define data model and data driven understanding of multiple partner ecosystem and network. To define our business strategy, we want to answer questions like:
How are our current inbound and outbound partners performing? What level of involvement do they have?
How can we understand the historical performance? How can we understand current partner performance?
How can we predict the future partner retention and expansion to the growth of business?
What impact will the business model shift to SaaS will have on current partners?
Key Responsibilities:
Work cross-functionally with key stakeholder teams to access and clean data sources
Build a data model framework and KPIs for our partner and ecosystem data
Apply AL/ML and advanced analytics strategies to answer important business questions.
Building framework and structured repeatable approach for partner and other ecosystem data collection and analytics
Qualifications:
Currently pursuing a master’s degree in data science, economics, or business administration with a quantitative emphasis
Proficient at data analysis in Python/R, SQL, and/or other open-source data science toolkits
Proficient with data scraping and cleansing techniques; previous experience with KNIME/pandas a plus
Familiar with data cleaning, exploratory data analysis, and classifier development techniques
Familiar with traditional machine learning models (e.g., SVM, xgboost) and deep learning methods (e.g., transformer-based architectures)
Comfortable communicating in a large organization and working cross-functionally.
Experience working with Salesforce, SAP, or other ERP data systems a big plus.
The hourly range for this position is $18.00 to $44.00. Siemens offers a variety of health and wellness benefits to employees. Details regarding our benefits can be found here: www.benefitsquickstart.com . In addition, this position is eligible for time off in accordance with Company policies, including paid sick leave and paid volunteer time off. We are Siemens A collection of over 377,000 minds building the future, one day at a time in over 200 countries. We're dedicated to equality, and we welcome applications that reflect the diversity of the communities we work in. All employment decisions at Siemens are based on qualifications, merit, and business need.Bring your curiosity and creativity and help us shape tomorrow!#SSP#LI-Remote#DISW
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