Technical Expert – Analytics Architecture and Data Engineering
The Corporate Technology department occupies an outstanding position within Siemens' R&D facilities. It functions as an international network of expertise and as a global partner for technology and innovations. Through its R&D activities in Germany, USA, China, India, Russia, Japan and Eastern Europe, Corporate Technology helps secure the company's technological future and strengthen its ambition.
Our Research Group (Advanced Data Management), located in Bangalore, is part of the Business Analytics and Monitoring (BAM) Technology Field of CT Research. Headquartered in Munich, we are a passionate community of around 250 researchers, data scientists and project managers distributed across the globe. We strive to solve complex problems in various domains ranging from industry, energy, mobility and buildings to smart cities by applying methods and principles of data analytics and artificial intelligence. We are looking for equally passionate techies to join us in this exciting journey of finding solutions to some non-trivial problems of the petabyte world.
What part will you play?
- Analyze large, complex data sets by developing advanced machine learning and deep learning pipelines based on business initiatives.
- You will have the ability to build theoretical models as well as build innovative, practical and robust real-world solutions for problems in Manufacturing and Process Industries.
- You will demonstrate outstanding ability to drive innovation and research in the form of patents and publishing papers at top-tier conferences/journals
- An advanced degree in operations research, applied statistics, data mining, machine learning, physics, or a related quantitative discipline is an asset.
- Experience in proven deep technical expertise in designing and programming large scale data driven solutions in Python
- Strong background in data science including statistical analysis and modeling, data mining, machine learning, uncertainty analysis, time series forecasting, working with both structured and unstructured data.
Use your skills to move the world forward
- You have Advanced degree in Computer Science or a related discipline with 6+ years of industrial experience with at least 3 years of experience in largescale projects
- Strong Project Management skills with thorough knowledge and hands-on experience in the full software engineering life-cycle
- Ability to manage program level detailed plans following project/program principles, considering stakeholder expectations
- Ability to set-up test environments including automated test frameworks; Should have been responsible for the data architecture/engineering of a project
- Ability to multi-task and handle multiple assignments simultaneously and manage high delivery quality
- Excellent problem solving, communication and team working skills
- Following would be a plus:
- Exposure to software engineering best practices and validation methods
- Experience in managing projects involving Big Data frameworks and Analytics e.g. Hadoop, Spark, Redshift
- Experience in the use of design patterns, UML, architecture description languages
Make your mark in our exciting world at Siemens.
This role is based in Bangalore. You’ll also get to visit other locations in India and beyond, so you’ll need to go where this journey takes you. In return, you’ll get the chance to work with teams impacting entire cities, countries – and the shape of things to come.
We’re Siemens. A collection of over 379,000 minds building the future, one day at a time in over 200 countries. We're dedicated to equality, and we encourage applications that reflect the diversity of the communities we work in. At Siemens we are always challenging ourselves to build a better future. We need the most innovative and diverse Digital Minds to develop tomorrow‘s reality.
Find out more about the Digital world of Siemens here: www.siemens.com/careers/digitalminds
Company: Siemens Technology and Services Private Limited
Experience Level: Experienced Professional
Job Type: Full-time