Descrição
With its 7,000 employees, Siemens Technology works hand in hand with the company’s business units to ensure Siemens’ future. Technology conducts research with internal and external partners, including leading universities and promising start-ups. These collaborative endeavors focus on a wide range of future technologies with a view to securing them with patents and supporting them through commercialization. Technology also provides development services for Siemens’ business units and supports them with methods and tools related to business excellence.
We are a global powerhouse focusing on the areas of electrification, automation, and digitalization. One of the world’s largest producers of energy-efficient, resource-saving technologies, Siemens is a leading supplier of systems for power generation and transmission as well as medical diagnosis. In infrastructure and industry solutions the company plays a groundbreaking role.
Looking for a chance to create a positive impact on our society? Join us!
What role will you play?
- Build predictive and machine learning models with algorithms such as Neural Networks, Decision Trees, Boosting / Ensemble methods, Clustering, etc.;
- Constantly innovating by creating new variables; improve modeling techniques to increase model performance;
- Maintain and refine existing Models and procedures for building high-end analytical modeling processes
- Data Analysis of large volumes of IoT data.
We are looking for:
- Experience with machine learning, data mining, statistics, or graph algorithms in academic or internship environments
- Experience using Python, Pandas, Scikit-learn. Deep learning is a plus.
- Knowledge of an programming language including Python, Java, Javascript, C#
- Ability to leverage expertise in data gathering, analytical, and problem-solving work
- Demonstrates working knowledge of statistics
- Possess good technical writing skills
- Excellent attention to detail
- Fluency in English
What we have to offer:
A flexible home office and schedule policy, virtual budget to improve your home office setup, health insurance, a Pension Plan and a Siemens Share Program time and financial support to your studies, medical center in the facilities, sport groups, 2 days for volunteering initiatives and a cool and relaxed environment.
Access to e-learning platforms (Learnlight, Linkedin Learning and more), discounts with partners.
#Siemens #LXTechHub #ITMakesUsMove
We recognize that building a diverse workforce is crucial to the success of our business. Therefore, Siemens provides equal employment opportunities to all qualified individuals without regard to race, creed, color, religion, national origin, age, gender, marital status, sexual orientation, or non-disqualifying physical or mental handicap or disability.
Organization: Technology
Company: Siemens S.A.
Experience Level: Recent College Graduate
Job Type: Full-time