Strategic Student Program: Data Science and Analytics Intern (GSM; Summer 2024)

Key Skills

Aartificial intelligence, Data Analysis, Data Analytics, Data cleaning / Data cleansing, Data science techniques, Machine learning techniques, Python Programming, R Programming, Salesforce, SAP, SQL, XGBoost

Job Description

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 Intern

Siemens 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.

Equal Employment Opportunity Statement

Siemens 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.