vault backup: 2025-02-03 08:29:48
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93
99 Work/Jobhunt/Applications/Data Scientist at Fluence.md
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93
99 Work/Jobhunt/Applications/Data Scientist at Fluence.md
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---
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title: Data Scientist at Fluence
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created_date: 2024-10-28
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updated_date: 2024-10-28
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aliases:
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tags:
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---
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# Data Scientist at Fluence
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## Job Description
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### About the job
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Fluence (Nasdaq: FLNC) is a global market leader delivering intelligent energy storage and optimization software for renewables and storage. Our solutions and operational services are helping to create a more resilient grid and unlock the full potential of renewable portfolios. With gigawatts of successful implementations across nearly 50 markets, we are transforming the way we power our world for a more sustainable future. For more information, please visit fluenceenergy.com .
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OUR CULTURE AND VALUES
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We are guided by our passion to transform the way we power our world. Achieving our goals requires creativity, diversity of ideas and backgrounds, and building trust to effect change and move with speed.
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We are Leading
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Fluence currently has thousands of MW of energy storage projects operated or awarded worldwide in addition to the thousands of MW of projects managed by our trading platform—and we are growing every day.
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We are Responsible
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Fluence is defined by its unwavering commitment to safety, quality, and integrity.
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We are Agile
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We achieve our goals and meet our customer’s needs by cultivating curiosity, adaptability, and self-reflection in our teams.
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We are Fun
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We value the diversity in thought and experience of our coworkers and customers. Through honest, forthcoming, and respectful communications we work to ensure that Fluence is an inclusive and welcoming environment for all.
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ABOUT THE POSITION:
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This position will be within Fluence’s Data Science team, working on the Nispera Asset Performance Management (APM) platform. The platform monitors, analyzes, and optimizes the performance of Battery Energy Storage Systems (BESS) and renewable energy assets, leveraging fully automated data acquisition and AI-driven computational algorithms. The role will be based in Fluence’s office in Zurich, Switzerland and will report to the Director of Data Science, also located in Zurich.
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As a Data Scientist, you will contribute to and take the lead on data science projects for asset performance management, with a focus on BESS.Leveraging your expertise in statistics, mathematical optimization, Machine Learning (ML), and Artificial Intelligence (AI), you will develop data-driven models and analytics solutions that extract actionable insights from large datasets, delivering value to our customers. Additionally, you will assist in creating new reports that combine the model outputs with insightful visualizations, providing a clear and comprehensive overview of the assets.You will collaborate with product managers, other data scientists, and subject matter experts to align on technical requirements and work with software engineers to integrate the developed data science models into the Nispera platform.
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Key responsibilities include:
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Develop advanced analytics, metrics, KPIs, and alerts using operational data from batteries and renewable assets to evaluate performance and identify components with potential performance issues.
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Build, train, and maintain ML / AI models for applications such as anomaly detection, forecasting, and predictive maintenance.
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Assist in creating reports that use insightful visualizations to present the metrics and outputs of data-driven models, providing customers with a clear overview of their assets.
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Collaborate effectively with cross-functional teams to understand requirements, build robust data-driven models, and ensure seamless integration into the Nispera platform.
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What will our ideal candidate bring to Fluence?
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Must Have
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Bachelor’s degree in a relevant field (e.g., Data Science, Computer Science, Electrical / Mechanical / Chemical Engineering, Mathematics) with 8+ years of professional experience in data science, data / software engineering, operations research, or related roles, preferably in the energy sector; or a Master’s degree with 6+ years of experience in these areas.
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Excellent programming skills in Python and SQL, with experience in scientific libraries (e.g., NumPy, Pandas, Scikit-learn, Matplotlib).
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Proficiency in statistical analysis, ML / AI models, and/or mathematical optimization.
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Exceptional analytical and problem-solving skills, coupled with a passion for learning and tackling new technical challenges.
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Strong organization skills and demonstrated ability to collaborate and build effective working relationships.
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Proven ability to work independently, take initiative, manage tasks with minimal supervision, meet deadlines, and deliver solutions quickly and at high quality.
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Excellent written and verbal communication skills in English.
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Nice to Have
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Master’s degree in a relevant field.
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Experience With Additional Programming Languages.
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Proven experience with cloud technologies, preferably AWS.
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Proficient in collaboration and project management tools (e.g., Jira, GitHub).
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Hands-on experience with agile development frameworks, ideally Scrum.
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Strong knowledge of the power and energy sector, including battery storage and renewable energy technologies (e.g., wind and solar).
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Professional and/or academic experience with lithium-ion batteries, including a solid understanding of cell chemistry and key operational factors affecting performance and aging.
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## My Application Strategy
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### Keywords
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- Dashboard
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- Data visualisation using Foxglove, realtime data dashboards
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- interest about renewable energies: courses in master
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- love technical challenges and learning
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- electrical engineering background: understanding of energy, energy storage, etc.
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-
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### Coverletter
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54
99 Work/Jobhunt/Applications/Robotics Engineer at Hexagon.md
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99 Work/Jobhunt/Applications/Robotics Engineer at Hexagon.md
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---
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title: Robotics Engineer at Hexagon
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created_date: 2024-10-29
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updated_date: 2024-10-29
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aliases:
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tags:
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---
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# Robotics Engineer at Hexagon
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## Strategy
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## Job Description
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About the job
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Committed and with passion for precision we create digital reality solutions combining sensor, software, and autonomous technologies to empower a sustainable future.
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Around the globe, customers from all industries rely on our smart technologies. You want to support us in engineering and implementing powerful software without losing track of your target but always staying cool? Join our team and make your visions come true!
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Robotics Engineer (f/m/d)
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Zürich
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100%
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This appeals to you
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Being part of a small, lean and cross-functional team
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Developing easy-to-use, reliable products
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Contributing to the development of disruptive, at the edge products like BLK2FLY - the world's first fully integrated autonomous LiDAR UAV
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Develop cross-platform embedded applications using modern C++ standards and Python
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This is you
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A relevant university qualification in robotics, control, state estimation, computer vision or computer science
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Extensive experience developing software on robot systems in the field
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Strong knowledge of C++, Python and object-oriented software design
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Experience in UAV control, state estimation and embedded Linux systems is a plus
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Familiarity with Git, CI/CD, Docker and ROS
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English as a working language is a must
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We offer you
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Flexible annual working hours based on a 40-hour week, with 100% employment
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Vacation entitlement: 25 days from the age of 20, 27 days from the age of 40 and 30 days from the age of 50
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Hybrid Working model
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Generous bonus system and extra-mandatory pension fund contributions
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Individual training opportunities (internal and external)
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Relocation service
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Various Discounts (Health, Car, Entertainment and much more)
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Employee Events
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Flat hierarchy structure
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Warm and international corporate culture based on respect and cooperation
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About Us
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Hexagon is a leading provider of digital reality solutions and employs more than 24,000 people in 50 countries. You will be part of a strong, experienced, inspiring and motivated team of experts driving the future of Hexagon. You will use and develop your skills in our highly innovative and diverse environment. Flexible working models allow you to ideally combine work and private interests.
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99 Work/Jobhunt/CV Feedbacks/CV Feedback Victor.md
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99 Work/Jobhunt/CV Feedbacks/CV Feedback Victor.md
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---
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title: CV Feedback Victor
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created_date: 2024-10-24
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updated_date: 2024-10-24
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aliases:
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tags:
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---
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# CV Feedback Victor
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- Too dense: reaction: shiiish I have to read all of this?
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- like: brackets with
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- shorter, more condensed text:
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- played essential role --> developed
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- hundereds --> 100+
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- key points in experience: show skills that were important
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- usability testing: thats all they need to know
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- main experience, make
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- Headline
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- Education: add master thesis title
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- usability testing (remove end user)
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- too much detail if not another drone company?
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- instead of magnetic angle sensor say sensor to firmware
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- maybe system engineering (Victor)
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- show impact: percentage! Use Keywords that HR understands
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- use keywords of the job description
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-
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---
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make sure cv shows that I'm independant
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84
99 Work/Jobhunt/Corporate Structure.md
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99 Work/Jobhunt/Corporate Structure.md
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---
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title: Corporate Structure
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created_date: 2024-10-25
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updated_date: 2024-10-25
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aliases:
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tags:
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---
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# Corporate Structure
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## Vocabulary
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| Name | Meaning |
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| ------------ | ---------------------- |
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| Key Accounts | Most important Clients |
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## Roles and Titles
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| Title | Description |
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| ------------------- | --------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- |
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| Key Account Manager | *Manages and nurtures the relationship with the most important clients of a company*. This involves ensuring customer satisfaction, driving account growth and finding solutions to the customer's problems. Key responsibilities:<br>- Understand customer (business needs, goals, challenges, regular contact, site visits --> trust and loyalty)<br>- bridge to internal coordination to propose business ideas, product development or support structure. Ensure client requirements are met<br>- negotiate contracts and pricing, align company's financial goals with goals of the client<br>- track the health and performance of the client company: status, profitability, customer satisfaction, engagement levels,<br>- report to senior management on account status, growth forecast, potential challenges providing insight in overall company strategy |
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| | |
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```mermaid
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graph TD
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A[CEO]
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A --> B[COO]
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A --> C[CFO]
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A --> D[CTO]
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A --> E[CMO]
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A --> F[CIO]
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A --> G[CSO]
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A --> H[CHRO]
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A --> I[CPO]
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B --> B1[President]
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B1 --> VP1[VP]
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VP1 --> SVP[Senior VP]
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SVP --> AVP[Assistant VP]
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D --> D1[Head of Product]
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D1 --> D2[Product Owner]
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D1 --> D3[Product Manager]
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D1 --> D4[Solution Architect]
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D1 --> D5[Technical Lead]
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E --> E1[Marketing Manager]
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E1 --> E2[Marketing Specialist]
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F --> F1[System Administrator]
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F1 --> F2[IT Specialist]
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G --> G1[Security Manager]
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H --> H1[HR Manager]
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H1 --> H2[HR Specialist]
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I --> I1[Director]
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I1 --> SD[Senior Director]
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I1 --> M1[Manager]
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M1 --> M2[Project Manager]
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M1 --> M3[Business Development Manager]
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M1 --> M4[Sales Manager]
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M1 --> M5[Customer Success Manager]
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M1 --> M6[Innovation Manager]
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M1 --> AM[Account Manager]
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AM --> KAM[Key Account Manager]
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I1 --> RD[Researcher]
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RD --> RS[Scientist]
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I1 --> DS[Data Scientist]
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I1 --> UX[UX/UI Designer]
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I --> AN[Analyst]
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I --> CO[Consultant]
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I --> ENG[Engineer]
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ENG --> SP[Specialist]
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ENG --> AS[Associate]
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ENG --> INT[Intern]
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```
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31
99 Work/Jobhunt/Interview Questions.md
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99 Work/Jobhunt/Interview Questions.md
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---
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title: Interview Questions
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created_date: 2024-10-16
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updated_date: 2024-10-16
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aliases:
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tags:
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---
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# Interview Questions
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## Resources
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- https://www.linkedin.com/interview-prep/assessments/urn:li:fsd_assessment:(1,a)/question/urn:li:fsd_assessmentQuestion:(10011,aq11)/
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## Guidelines
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- Prepare for this question in advance and have a compelling story about your past experiences.
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- Pull prominent skills from the job description.
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- Be “SHE” (succinct, honest and engaging).
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## Questions:
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1. Describe your most challenging project
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2. Tell me about a time you surpassed people's expectations
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3. What would your co-workers say about you?
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4. What is your greatest strength?
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5. What is your greatest weakness?
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6. Why should we hire you?
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7. Why do you want to work here?
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8. Tell me about a time you showed leadership.
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9. Tell me about a time you were successful on a team
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10. Why do you want to leave your current role?
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11. Can you explain your employment gap?
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12. What are your salary expectations?
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13. What is your superpower?
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99 Work/Jobhunt/Jobprofiles/Machine Learning Engineer.md
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99 Work/Jobhunt/Jobprofiles/Machine Learning Engineer.md
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---
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title: Machine Learning Engineer
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created_date: 2024-10-15
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updated_date: 2024-10-15
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aliases:
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tags:
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---
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# Machine Learning Engineer
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Google:
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### Minimum qualifications:
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- Bachelor-s degree or equivalent practical experience.
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- 1 year of experience with software development in one or more programming languages (e.g., Python, C, C++, Java, JavaScript).
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- 1 year of experience with data structures or algorithms.
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- 1 year of experience implementing core ML concepts.
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### Preferred qualifications:
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- Experience in building TensorFlow or JaX models.
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- Experience working in search quality or a similar quality stack.
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- Experience in debugging and analysis in a similar quality environment.
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- Knowledge of common data/pipeline technologies (e.g., TfleX).
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- Knowledge of XManager, Servomatic, Search logs, Woodshed, O5, Mendel/Rasta.
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- Understanding of the interactions models with the rest of the quality stack.
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56
99 Work/Jobhunt/My CV skills.md
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99 Work/Jobhunt/My CV skills.md
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---
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title: My CV skills
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created_date: 2024-10-14
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updated_date: 2024-10-14
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aliases:
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tags:
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---
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# My CV skills
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## Robotic Engineer
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### Mesh AG
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```
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**Role Description**
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As a Robotics Engineer you will work on developing new robotic processes, and improve existing ones, for the automated handling of rebar. You will be responsible for full-stack development, from hardware and electronics to control software, perception and sensors, data-science and occasionally some hardware solutions. At MESH we aim to apply a data-driven approach to robotics.
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**Qualifications**
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- Degree in robotics, computer science or electrical/mechanical/aerospace engineering
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- 2+ years of experience working in the field of robotics and/or software development (C/C++ and Python)
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- Proficient understanding of the building blocks comprising a robotics software stack such as state estimation, localization and mapping, navigation, motion planning, control, and simulation
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- Familiarity with relevant sensor modalities (IMU, LiDAR, cameras, etc) and actuation systems
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- Experience with data-science and machine-learning (classification, computer-vision, etc)
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- Experience deploying and debugging software on real robots or hardware systems
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- Experience working with Ubuntu and version control systems such as git
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- Experience with robotics toolkits/middleware such as ROS/ROS2
|
||||
- Excellent communication skills to effectively collaborate within team using agile development (English proficiency is a requirement for this position)
|
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- Familiarity with test-driven development and DevOps best practices
|
||||
- Comfortable leading projects, being self motivated with a particular attention to details.
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|
||||
**Good to have**
|
||||
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||||
- German, Italian or French language working proficiency
|
||||
- Experience with industrial manipulators (e.g. ABB IRB)
|
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- Experience with Docker, cloud computing, or similar applications
|
||||
- Experience with data processing, logging, and visualization tools
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- Experience with trajectory optimization, obstacle/collision avoidance, feedback control systems
|
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- Experience with controller design (linear/nonlinear/optimal/robust control, LQR, DDP, MPC, etc)
|
||||
- Experience with optimization techniques (linear/quadratic/semidefinite/nonlinear optimization, etc)
|
||||
- Experience with system modelling (kinematics, dynamics, Euler-Lagrange, Newton-Euler, etc)
|
||||
- Experience with state estimation (sensor fusion, Kalman filters, etc)
|
||||
- Experience with deep learning software (PyTorch, TensorFlow, etc)
|
||||
- Experience with deep reinforcement learning algorithms and software (PPO, TRPO, etc)
|
||||
- Experience with geometry processing tools for 3D data manipulation, visualization, and analysis, (Open3D, PCL, CGAL, VTK, etc)
|
||||
|
||||
**Our offering**
|
||||
|
||||
- A dynamic startup environment close to Zürich with a diverse, international and multidisciplinary team.
|
||||
- An opportunity to implement technology at an industrial scale and to contribute to the future of the construction industry.
|
||||
- A work environment within a state-of-the-art robotic facility with the possibility of directly applying your ideas and experiences.
|
||||
|
||||
**How to Apply**
|
||||
|
||||
Interested candidates are invited to submit their applications to **[jobs@mesh.ch](mailto:jobs@mesh.ch)**. We look forward to reviewing your qualifications and exploring the potential for you to join our team!
|
||||
```
|
||||
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