Senior Solution Engineer Data Scientist bei DeepOpinion | DEVjobs.at

Farkas Kiss Endre legjobb állása DeepOpinion

Bewerbung fur Senior Frontend Developer (f/m/d)

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Lieber DeepOpinion!

Ich möchte mich bei Ihrem Unternehmen als Senior Solution Engineer Data Scientist bei DeepOpinion | DEVjobs.at bewerben. 
Ich bin ein Fullstack-Entwickler, bei dem ich meine 10-jährige Erfahrung mit verschiedenen Technologien einsetzen kann.

Ich habe meinen Lebenslauf an diese E-Mail angehängt.

Wir freuen uns darauf, von Ihnen zu hören!


Endre Farkas Kiss "Sodika"
Java and PHP Fullstack Developer, Nudist, Vlogger

https://www.linkedin.com/in/farkas-kiss-63bb9210a
https://sodika.org

Álláshirdetés szövege

Deine Rolle im Team
Take responsibility for technical planning and solution design by transforming customer requirements into efficient cognitive automation workflows by leveraging our internal software solutions suite.
Own the ongoing technical communication across various stages with the customer. Be the trusted go-to technical contact for the customer. Support Pre-Sales and Customer-Success Team with technical know-how.
Deliver the implementation of cognitive automation solutions to meet customer requirements within the project timeline.
Navigate enterprise environments both technically and communication-wise. This means using your knowledge of enterprise environments to help customers in setting up the communication efficiently, communicating requirements and responsibilities clearly, ensuring fast feedback loops, and supporting the setup and use of our on premise-software solutions.
Transform data from customers into high-quality input for machine learning and data analysis. This involves data gathering from web API's, exploratory data analysis, data cleaning, transforming data, data validation, and optimization of data label quality for the training of high-performance machine learning models.
Ensure that delivered solutions continue to operate smoothly and provide proactive technical support to customers as needed.
Establish implementation processes and contribute code that improves the time spent on projects and also ensures the high quality of the solution delivered.
Extend and enhance the solution engineering toolbox with the latest technologies to optimize the implementation projects' efficiency and results.
Collaborate and communicate internally with the customer success, machine learning & product engineering team. This includes project reviews, helping to conceptualize new features, ongoing communication of customer needs, and relevant insights learned.

Technologien und Skills
Linux
Bash
scikit-learn
Git
NumPy
matplotlib
Apache HTTP Server
Docker
Python
Jupyter (IPython)
Power BI
Airflow

Unsere Erwartungen an dich:
Qualifikationen
Great presentation and communication skills
Scientific thinking: Ability to break down a concept into its causal parts, reasoning from first principles
Demonstrated proficiency in Python or similar high-level programming languages
Highly motivated to deliver exceptional outcomes for our customers
Reliable in delivering on deadlines in challenging and new projects
OS: Linux
Languages: python, bash
Libs: numpy, scikit-learn, matplotlib, apache-airflow, jupyter, AutoNLU (in-house)
Tools: git, docker, apache-airflow, Power-BI, TableauAPI: studio-api (in-house)

Erfahrung
Experience with data handling/data wrangling: Exploratory data analysis, data cleaning, data transformations, data visualization, building end-to-end data processing pipelines
Experience in software development

Ausbildung
A degree in a quantitative scientific discipline (Mathematics, Physics, Computer Science or similar) and/or significant experience working as a Solution Engineer or Solution Architect or Data Scientist/Data Engineer, ideally with corporate customers or in a corporate environment