About the job:
A rare opportunity exists for a Principal Data Science Engineer in the Budapest office of a US based telecommunications company. In this role, you will lead projects that develop and perform complex analyses using Big Data technologies. The focus of the role is analyzing IoT hardware data and suggesting solutions to improve service quality. You will work closely with the business owner, product owners, scrum masters, engineering management, architects, QA and fellow developers as part of a cross-functional agile team. Your work will help them meet their customers’ needs and make it even easier for them to do business with them.
Your responsibilities will include:
- Performing analyses to find actionable insights
- Developing systems, applications, and visual dashboards
- Conducting and guiding others through system usage assessments
- Ensuring data quality and promoting process improvement
- Extract, analyze and interpret large amounts of data from a range of sources, using algorithmic, data mining, artificial intelligence, machine learning and statistical tools, in order to find actionable insights and to make it accessible to businesses
- Working independently and proactively to discover, understand problems and propose solutions
- Communicate technical information on different levels and to non-technical audiences
- Take pride in your ability to share your considerable knowledge with your peers
- Work closely with your business to identify issues and use data to propose solutions for effective decision making
- Maintain clear and coherent communication, both verbal and written, to understand data needs and report results
- Create clear reports that tell compelling stories about how customers or clients work with the business
- Writing application notes/documentation
- Working in an agile cross-functional team, reporting to the team leader
You’ll need to have:
- Professionalism and a “can-do” attitude to work
- Relevant university degree (electrical/computer engineering or computer science or mathematics or physics)
- Knowledge and understanding of mathematical modeling and statistical data analysis methods
- Experience with at least two Business Intelligence tool (QuickSight, Tableau, LookerStudio, Spotfire or similar)
- Experience with Data Warehousing
- Working experience in Python, SQL
- Knowledge of major big data framework (SQL databases, ElasticSearch, MongoDB, Hive, etc.)
- Excellent analytical and problem-solving skills
- Working proficiency in English (both written and verbal)
Even better if you have:
- MSc or PhD in a relevant field
- 6+ years of relevant experience
- Experience in agile development methodologies
- Knowledge of state-of-the-art in Data Science
- Knowledge Cloud based big data solutions (AWS or others
- Experience in sensor data analytics
Our partner’s offer:
- Healthy mix of working from home or at the office
- Innovative working environment
- Internal english lessons
- Competitive salary
