Data Scientist (all genders welcome)

Vechta - Germany

Monthly Salary: Not Disclosed

Posted on: Yesterday

Vacancies: 1 Vacancy

Job Summary

Rosenxtis seeking a skilled Data Scientist to join our team. This role is ideally suited to someone who is passionate about solving complex problems withdata anddelivering measurable value throughclassicaland machine learning methods.

To strengthen our team at our location in Wietmarschen-Lohne Bristol or Enschede with flexible working time models and the option of home office we are looking for a

Data Scientist (all genders welcome)

In this roleyoullwork oncutting-edgetechnology that makes a real-world impact initiallydevelopingdata science andmachine learningsolutionswithin the Water Line Integrity Solutions group.

This group focuseson developing advanced technologies for the inspection and assurance of water pipeline doing so we contribute to the better use of limited water resources supporting sustainability and environmental protection. Ourstate-of-the-artinspection devices autonomouslytravelthrough water pipelines gathering extensive data including video and ultrasound data. To evaluate this data we develop cloud-based software solutions thatutilizeclassic signal processing algorithms computer vision and machine learning. In our interdisciplinary agile and autonomous teams we foster innovations that create both business and ecological value.

What you can expect

Translate business and product goals into well-defined data science and machine learning problemsidentifyingwhere data-driven approaches can generate the most value
Conduct rigorous data analysis and experimentationidentifyingpatterns quantifying uncertainty and adapting strategies based on findings
Design develop andvalidatemachine learning models and analytical workflows advancing solutions from research to production
Define success metrics and key performance indicators in collaboration with stakeholders ensuring solutions deliver measurable business impact
Produce clear documentationvisualisations reports and dashboards for both technical and non-technical audiences
Validate data quality recommend improvements to data collection processes andidentifyrisks including model bias drift and fairnessconcerns.
Stay current with advances in statistical and machine learning methods tools and industry best practices assessing their applicability to our goals.

What you bring

To become part of the Rosenxt family you have creative self-reliant collaborative skills and want to help the team do its best work. Moreover you should bring with you:

Proven experience designing experiments building models and delivering data science solutions in production
Solid understanding of supervised and unsupervised learning algorithms statistics and linear algebra
Hands-on experience applying ML and statistical methods to complex real-world data (e.g.sensor data time series signal recordings)
Strongproficiencywith Python and core data science libraries (e.g.PyTorch scikit-learn pandasnumpy) or strong experience in other languages and a willingness to learn Python
Practical skills in statistical analysis datavisualisation and feature engineering
Clear and comprehensive documentation of code methods and experiments
Experience with Git environment management (e.g.Docker poetryuv) and at least one major cloud platform (AWS Azure or GCP)
Ability to implement algorithms from academic papers
Experienceprocessingultrasound data & video data
Experience with PyTorch Py Torch Lightning Open CV CVAT Docker ROS

Look forward to

Development opportunities and career opportunities in aglobal innovative and long-term oriented group of companies with family character
Flexible working time working time accountsand Home Office possible
An open informal corporate culture where we celebrate success with social events
Depending on the hiring location you may also benefit from local benefits

More information about the Rosenxt Group please click here:

Required Experience:

To strengthen our team at our location in Wietmarschen-Lohne Bristol or Enschede with flexible working time models and the option of home office we are looking for a

Data Scientist (all genders welcome)

In this roleyoullwork oncutting-edgetechnology that makes a real-world impact initiallydevelopingdata science andmachine learningsolutionswithin the Water Line Integrity Solutions group.

What you can expect

Translate business and product goals into well-defined data science and machine learning problemsidentifyingwhere data-driven approaches can generate the most value
Conduct rigorous data analysis and experimentationidentifyingpatterns quantifying uncertainty and adapting strategies based on findings
Design develop andvalidatemachine learning models and analytical workflows advancing solutions from research to production
Define success metrics and key performance indicators in collaboration with stakeholders ensuring solutions deliver measurable business impact
Produce clear documentationvisualisations reports and dashboards for both technical and non-technical audiences
Validate data quality recommend improvements to data collection processes andidentifyrisks including model bias drift and fairnessconcerns.
Stay current with advances in statistical and machine learning methods tools and industry best practices assessing their applicability to our goals.

What you bring

To become part of the Rosenxt family you have creative self-reliant collaborative skills and want to help the team do its best work. Moreover you should bring with you:

Proven experience designing experiments building models and delivering data science solutions in production
Solid understanding of supervised and unsupervised learning algorithms statistics and linear algebra
Hands-on experience applying ML and statistical methods to complex real-world data (e.g.sensor data time series signal recordings)
Strongproficiencywith Python and core data science libraries (e.g.PyTorch scikit-learn pandasnumpy) or strong experience in other languages and a willingness to learn Python
Practical skills in statistical analysis datavisualisation and feature engineering
Clear and comprehensive documentation of code methods and experiments
Experience with Git environment management (e.g.Docker poetryuv) and at least one major cloud platform (AWS Azure or GCP)
Ability to implement algorithms from academic papers
Experienceprocessingultrasound data & video data
Experience with PyTorch Py Torch Lightning Open CV CVAT Docker ROS

Look forward to

Development opportunities and career opportunities in aglobal innovative and long-term oriented group of companies with family character
Flexible working time working time accountsand Home Office possible
An open informal corporate culture where we celebrate success with social events
Depending on the hiring location you may also benefit from local benefits

More information about the Rosenxt Group please click here:

Required Experience: