Simulation Software – Who Needs Engineers
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Software Engineering RecruitmentSun, 22 Sep 2024 02:00:02 +0000en-US
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3232Applied Data Scientist (Machine Learning)
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Sun, 22 Sep 2024 02:00:02 +0000/wne_live/jobs/jobs-categories/applied-data-scientist-machine-learning/Applied Data Scientist (Machine Learning)
Job Description:
We are seeking an Applied Data Scientist specializing in Machine Learning to join our dynamic team. In this role, you will be responsible for analyzing complex data sets to derive meaningful insights and developing, implementing, and optimizing machine learning models aimed at predicting and enhancing the energy performance of buildings. You will employ advanced statistical techniques to validate model accuracy and improve predictive capabilities. Your work will involve conducting rigorous statistical analyses to support model development and research findings, as well as interpreting and communicating statistical results to non-technical stakeholders. Staying updated with the latest statistical methods and tools is essential. You will also utilize building energy simulation software to create and test energy models, integrating simulation results with machine learning models to enhance prediction accuracy. Collaboration with cross-functional teams is key, as you will apply simulation insights to real building projects and contribute to research outcomes focused on energy efficiency, sustainability, and smart building technologies. Your responsibilities will include preparing detailed proposals, technical reports, and presentations for partners and funding bodies.
IT Languages:
Python
R
MATLAB
As an Applied Data Scientist, you will play a crucial role in harnessing data to drive energy efficiency solutions.:
Analyze complex datasets to extract valuable insights;; Develop, implement, and enhance machine learning models for energy performance prediction;; Conduct thorough statistical analyses to support research findings;; Communicate statistical results effectively to non-technical audiences;; Utilize building energy simulation software for model creation and testing;; Collaborate with interdisciplinary teams to apply findings to real-world projects;; Contribute to research projects focused on sustainability and intelligent building technologies;; Prepare detailed technical reports and presentations for various stakeholders
Spoken Languages:
English;; German
Skillset:
Machine Learning
Statistical Analysis
Data Visualization
Energy Modeling
Simulation Software
Soft Skills:
Strong communication skills
Project management
Team collaboration
Problem-solving
Adaptability
Qualifications:
Master’s degree in Data Science, Computer Science, Statistics, Engineering, or a related field
PhD preferred
Proven experience in data analysis and machine learning, especially in building energy or sustainability
Years of Experience:
5
Location:
Munich, Bavaria, Germany, EU
Job Benefits:
Flexible and family-friendly working hours
Remote work options and hybrid work structures
Investment in personal development and training
Access to an interdisciplinary and international team
Regular team events and activities
Close collaboration with the founding team for rapid learning opportunities
Chance to make a significant impact on sustainability within the industry
Working Conditions:
Full Time
Employment Type:
Permanent Contract
Company Culture:
Our culture emphasizes openness, collaboration, and a friendly atmosphere where every team member is valued. The 'you' culture permeates all levels of the organization, promoting approachability and authenticity.
Opportunities For Advancement:
Career growth within a rapidly expanding company, Possibilities to lead projects and initiatives, Opportunities for further academic qualifications
Embark on a transformative journey to become a design professional in the realm of technical product design. During this apprenticeship, you will immerse yourself in the complete manufacturing process, gaining insights and hands-on experience in crafting everything from small auxiliary tools to large-scale machinery. Utilizing advanced 3D CAD software, you will design individual components and assemblies for technical products. You will bring your designs to life by creating three-dimensional models and detailed technical drawings. Additionally, you will use computer simulations to test your constructions against real-world stresses, document your findings, and present your work to stakeholders and clients. This comprehensive training lasts for three and a half years and equips you with the skills necessary to excel in the field.
IT Languages:
3D CAD
Computer Simulation Software
As a trainee, you will be responsible for a variety of tasks that will enhance your understanding and skills in technical product design.:
Oversee the entire manufacturing process;; Design individual parts and assemblies of technical products;; Create three-dimensional models and technical drawings;; Test constructions through simulations;; Prepare documentation for production
Spoken Languages:
English;; German
Skillset:
3D CAD Software
Technical Drawing
Simulation Software
Documentation Skills
Soft Skills:
Creativity
Adaptability
Attention to Detail
Communication Skills
Qualifications:
Completed secondary education
Interest in subjects such as technology, physics, and mathematics
Eagerness to engage with graphic design, printing techniques, and processing software
Strong creativity, adaptability, and attention to detail
30 vacation days plus additional leave on December 24 and 31
35-hour work week
Company pension scheme
Special conditions for vehicle purchases and leases
Bicycle leasing options
Possibility of employment after successful completion
Working Conditions:
Full Time
Employment Type:
Internship
Company Culture:
The company fosters a collaborative environment that encourages creativity and innovation. Employees are supported in their professional growth and are provided with opportunities for further training and development.
Opportunities For Advancement:
Career growth within the organization, Further training programs, Potential for permanent position after apprenticeship