Time Series Analysis – Who Needs Engineers /wne_live Software Engineering Recruitment Tue, 08 Oct 2024 09:10:02 +0000 en-US hourly 1 https://wordpress.org/?v=6.6.2 /wne_live/wp-content/uploads/2023/06/cropped-wne_logo-3-32x32.png Time Series Analysis – Who Needs Engineers /wne_live 32 32 Working Student Data Science /jobs/data-sciene-and-analytics/working-student-data-science-3/ Tue, 08 Oct 2024 09:10:02 +0000 /wne_live/jobs/jobs-categories/working-student-data-science-3/ Working Student Data Science

Job Description:

    Join our innovative tech team in Berlin as a Working Student in Data Science & Optimization. In this role, you will contribute to vital data-driven projects within the energy sector, focusing on the analysis and optimization of energy consumption, production, and pricing data. You will work with time series data and develop analytical models that will provide actionable insights, ultimately helping to enhance our energy management products and services. Your contributions will play a significant part in accelerating the transition to sustainable energy solutions. Bring your analytical skills and become an integral part of our mission to innovate in the energy landscape.

IT Languages:

  • Python
  • SQL

As a Working Student, you will be responsible for various analytical tasks that directly impact our energy management solutions. Your role will involve collaborating across teams to tackle complex challenges in the energy industry.:

    Analyze time series data related to energy consumption, production, and pricing.;; Develop and implement data analysis models to extract meaningful insights.;; Evaluate machine learning models for forecasting energy demand and supply.;; Create dashboards using Looker to track the performance of the Energy Management system.;; Collaborate with product managers, engineers, and other stakeholders to resolve intricate problems.

Spoken Languages:

  • English;; German

Skillset:

  • Data analysis
  • Machine learning
  • Time series analysis
  • Data visualization

Soft Skills:

  • Problem-solving
  • Analytical thinking
  • Team-oriented mindset
  • Strong communication skills
  • Adaptability

Qualifications:

  • Currently enrolled in a university program in Data Science, Statistics, Computer Science, or a related field.
  • Strong skills in Python and SQL.
  • Familiarity with data analysis libraries such as pandas, numpy, and scikit-learn.
  • Basic understanding of machine learning concepts and time series analysis techniques.
  • Interest in the energy sector and sustainability.

Years of Experience:

    0

Location:

    Germany

Job Benefits:

  • Join a dynamic and motivated team focused on innovation.
  • Contribute to the sustainable transformation of energy infrastructure.
  • Experience flat hierarchies with direct access to management.
  • Work in an agile and collaborative environment.
  • Enjoy the benefits of the EGYM Wellpass.

Working Conditions:

    Part Time

Employment Type:

    Internship

Company Culture:

  • We foster a culture of innovation, collaboration, and sustainability. Our team is driven by a shared mission to electrify and transform the energy landscape through cutting-edge technology and a commitment to environmental responsibility.

Opportunities For Advancement:

  • Potential for full-time employment after graduation., Opportunities to work on diverse projects., Professional development and mentorship.

Visa Sponsorship:

    Available
]]> Thesis on Predictive Systems and Scene Understanding for Autonomous Driving /jobs/emerging-technologies-and-specialized-roles/thesis-on-predictive-systems-and-scene-understanding-for-autonomous-driving/ Wed, 25 Sep 2024 00:40:01 +0000 /wne_live/jobs/jobs-categories/thesis-on-predictive-systems-and-scene-understanding-for-autonomous-driving/ Thesis on Predictive Systems and Scene Understanding for Autonomous Driving

Job Description:

    Join our innovative team focused on artificial intelligence and data analysis within the automotive industry. In this role, you will collaborate on groundbreaking projects aimed at integrating advanced AI technologies into digital vehicles. Your work will involve analyzing vehicle data to identify changes across different components during various driving maneuvers and aging processes. You will help develop predictive systems to forecast edge-case scenarios that prepare our autonomous vehicle stack for emergency situations. This opportunity allows you to engage in research and development of intelligent algorithms while contributing to the mobility of the future. Your thesis will be shaped in collaboration with a supervising professor, ensuring a tailored research experience. Prior to commencing your thesis, completing an internship with us is highly recommended to gain practical insights and hands-on experience.

IT Languages:

  • Python
  • PyTorch
  • TensorFlow

Engage in developing and implementing innovative concepts within the framework of your internship or thesis project.:

    Develop methods for scene understanding and predicting future scenarios in autonomous driving.;; Collect knowledge as an AI researcher while working on highly relevant topics in the automotive sector.

Spoken Languages:

  • English;; German

Skillset:

  • Machine Learning
  • Computer Vision
  • Data Analysis
  • Algorithm Development
  • Time Series Analysis

Soft Skills:

  • Team collaboration
  • Independent research capability
  • Effective communication

Qualifications:

  • Students pursuing degrees in Computer Science, Engineering, Mathematics, or related fields.
  • Strong academic performance with excellent to good grades.
  • Proficient in programming, particularly with PyTorch, TensorFlow, and Python.
  • Practical experience in Machine Learning and Computer Vision.
  • Experience in algorithm development.
  • Familiarity with time series analysis is advantageous.
  • Ability to independently manage and research a scientific topic.
  • Proficient in German and/or English at B2 level.

Years of Experience:

    0

Location:

    Wolfsburg, Lower Saxony, Germany, EU

Job Benefits:

  • Opportunity to work on cutting-edge technology
  • Access to interdisciplinary research
  • Mentorship from experienced professionals
  • Potential for future employment opportunities

Working Conditions:

    Full Time

Employment Type:

    Internship

Company Culture:

  • We foster an innovative and collaborative environment that encourages creativity and forward-thinking. Our team values diversity and inclusion, promoting an atmosphere where every voice is heard and contributes to the collective success.

Opportunities For Advancement:

  • Potential for full-time employment after internship, Possibility to publish research findings, Networking opportunities within the automotive industry

Visa Sponsorship:

    Available
]]> Applied Scientist – Deep Learning/Time Series /jobs/emerging-technologies-and-specialized-roles/applied-scientist-deep-learning-time-series/ Tue, 17 Sep 2024 15:00:02 +0000 /wne_live/jobs/jobs-categories/applied-scientist-deep-learning-time-series/ Applied Scientist – Deep Learning/Time Series

Job Description:

    We are seeking an innovative and driven Applied Scientist specializing in Deep Learning and Time Series analysis. The ideal candidate will possess a strong foundation in machine learning methodologies and be adept at developing predictive models that can analyze time-dependent data. This role demands a deep understanding of neural networks, statistical methods, and a passion for translating complex data into actionable insights. You will be working on cutting-edge projects that leverage advanced algorithms to enhance decision-making processes in various applications. Your contributions will directly impact our ability to deliver intelligent solutions across industries.

IT Languages:

  • Python
  • TensorFlow
  • PyTorch

As an Applied Scientist, you will be responsible for developing and optimizing machine learning models, conducting experiments, and presenting findings.:

    Design and implement deep learning models for time series analysis;; Analyze large datasets to extract meaningful insights;; Collaborate with cross-functional teams to integrate models into production systems;; Stay updated with the latest advancements in machine learning and AI technologies

Spoken Languages:

  • English;; German;; French

Skillset:

  • Deep Learning
  • Time Series Analysis
  • Machine Learning
  • Statistical Analysis
  • Data Visualization

Soft Skills:

  • Team Player
  • Critical Thinking
  • Effective Communication
  • Adaptability

Qualifications:

  • PhD or Master’s degree in Computer Science, Engineering, or a related field
  • Proven experience in machine learning and deep learning techniques
  • Strong analytical and problem-solving skills

Years of Experience:

    5

Location:

    Europe

Job Benefits:

  • Health insurance
  • Retirement plan
  • Flexible working hours
  • Professional development opportunities
  • Paid time off

Working Conditions:

    Full Time

Employment Type:

    Permanent Contract

Company Culture:

  • We foster an inclusive and collaborative environment where innovation thrives. Our team values creativity and encourages continuous learning. We believe in the importance of work-life balance and support our employees in their career development journeys.

Opportunities For Advancement:

  • Leadership roles, Mentorship programs, Cross-departmental projects

Visa Sponsorship:

    Available
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