Senior Software Engineer, Data Analytics

🕒 March 31

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Siemens

WebsiteLinkedInAll Job Openings

10,000+ employees

Founded 1847

🏢 Enterprise

🔧 Hardware

⚡ Energy

💰 Post-IPO Equity on 2018-03

Enterprise • Hardware • Energy

Siemens is a multinational corporation that offers a wide range of products and services in various industries. The company is known for its innovative solutions such as the comprehensive digital twin, which allows businesses to design, simulate, and optimize products and processes in a digital environment before implementation in the real world. Siemens operates in sectors including automation, digitalization, and electrification, contributing to advancements in industrial, infrastructure, and healthcare fields.

📋 Description

• Responsible for the development and delivery of parts of a product, in accordance to the customers’ requirements and organizational quality norms. • 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.

🎯 Requirements

• Engineering Degree with 5-8 years work experience in Software Engineering • Proven skills in R and Python • Involvement 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