Senior Software Engineer (Senior Data Analytics)
Siemens founded the new business unit Siemens Advanta (formerly known as Siemens IoT Services) on April 1, 2019 with its headquarter in Munich, Germany. It has been crafted to unlock the digital future of its clients by offering end-to-end support on their outstanding digitalization journey. Siemens Advanta is a strategic advisor and a trusted implementation partner in digital transformation and industrial IoT with a global network of more than 8000 employees in 10 countries and 21 offices. Highly skilled and experienced specialists offer services which range from consulting to craft & prototyping to solution & implementation and operation – everything out of one hand.
What are my responsibilities?
Responsible for the development and delivery of parts of a product, in accordance to the customers’ requirements and organizational quality norms. Activities to be performed include:
- Requirement analysis and design of software solutions based on requirements and architectural /design guidelines!
- Improving user experience, scalability and performance.
- Implementation of features and/or bug-fixing and delivering solutions in accordance with coding guidelines and on-time with high quality.
- Ensuring integration and submission of solution into software configuration management system, within committed delivery timelines.
- Performing regular technical coordination / review with partners and ensuring timely reporting and critical issues if any.
- Supporting Project Manager for planning, ensuring risk identification and initiating steps towards risk mitigation.
- Identification and implementation of unit and integration tests to ensure solution addresses customer requirements, and quality, security requirements of product are met.
Use your skills to move the world forward
- Do you have an Engineering Degree with 5-8 years work experience in Software Engineering especially in professional software product development?
- You must have Proven skills in R and Python.
- Should be involved in Probabilistic Data analysis of any domain specific data!
- Good understanding in frameworks like shiny, Dplyr, Ggplot2, Esquisse etc.
- Proven experience in frameworks like NumPy, SciPy, Pandas etc..
- Knowledge in : Linear and logistic regression, K-means, K-medoids, Naive Bayes, Decision tree, Random forest, Clustering, Bayesian model, PCA, LDA, t-SNE, LSTM, CNN, Predictive modelling, Time Series Analysis and Forecasting, Natural Language Processing (NLP) and Ensemble
- Expertise in programming and usage of any unit testing framework.
- Strong experience in integration testing and continuous integration.
- Knowledge of Software Engineering processes. Experience with Agile/Lean practices is helpful
- Good understanding of design patterns
- Knowledge of source code management tools like git