Job opening for Data Science Engineer Posts @ Siemens Bangalore
Siemens Ltd, a German conglomerate company, which focuses its services in Industry, Energy, Healthcare and Infrastructure & Cities.
In the latest job announcement, Siemens India announces job vacancies for Data Science Engineer posts, with work location in Bangalore.
Under Siemens Bangalore Data Science Engineer 2020 Jobs, candidates having required skills in R and Python, shiny, Dplyr, Ggplot2, Esquisse, NumPy, SciPy, Pandas can apply.
The selected candidate will be recruited with a permanent and full-time job.
An Interested and qualified candidate has to apply through online mode.
Job Designation: Data Science Engineer.
Job Code: 216897.
Education Qualification: Bachelor’s Degree/Master’s Degree.
Experience Level: 4 to 6 years.
Job Location: Bangalore.
Apply Mode: Online.
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 the software configuration management system, within committed delivery timelines.
Performing regular technical coordination/review with stakeholders and ensuring timely reporting and escalations 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 address customer requirements and quality, security requirements of the product are met.
Good at communicating within the team as well as with all the stakeholders
Strong customer focus and a good learner.
Highly proactive and team player
4-6 years’ work experience in Software Engineering especially in professional software product development.
Proven skills in R and Python is a must.
Involved in Probabilistic Data analysis of any domain-specific data.
Strong knowledge in frameworks like shiny, Dplyr, Ggplot2, Esquisse, etc.
Strong knowledge in frameworks like NumPy, SciPy, Pandas, etc.
Expertise in programming and usage of any unit testing framework.
Expertise in integration testing and continuous integration.
Knowledge of Software Engineering processes. Experience with Agile/Lean practices is preferred.
Knowledge of design patterns.
Knowledge of source code management tools like git.
Knowledge for JIRA and Confluence will be a plus.