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- Aufgaben: Support the Quality Data Lab with coding, presentations, and dashboard development.
- Arbeitgeber: Join Tesla's innovative team at Gigafactory Berlin-Brandenburg, leading in data science and analytics.
- Mitarbeitervorteile: Gain hands-on experience in a fast-paced, multicultural environment with opportunities for growth.
- Warum dieser Job: Perfect for those passionate about data science and problem-solving in manufacturing.
- Gewünschte Qualifikationen: Proficiency in Python and SQL; experience in software development and data visualization required.
- Andere Informationen: Tesla values diversity and is committed to providing accommodations for individuals with disabilities.
Data Science Working Student (m/f/d) – Gigafactory Berlin-Brandenburg
We are the Quality Data Lab, central to the data science and analytics efforts at Giga Berlin. You will be supporting our team in day-to-day business tasks by preparing presentations, workshops, and coding tasks. You will also assist with the development of dashboards and ETL pipelines, code deployment, and be part of problem-solving efforts. Our fast-paced, multicultural environment provides opportunities for data science, analytics, and engineering in the manufacturing domain, no matter where your passion lies.
What You’ll Do
- Getting an impression of how to build a Datalab and manage data projects.
- Getting involved in coding and developing ETL pipelines to improve your coding skills.
- Work with stakeholders to refine vague problem statements and use the results to drive informed decisions.
- Creating meaningful visualizations and preparing presentations.
- Assisting in the design, development, and deployment of data-driven solutions.
- Collaborating closely with other team members on complex problem-solving and coding tasks.
What You’ll Bring
- Strong proficiency in Python and SQL.
- Experience writing software in a professional environment.
- Experience building data visualizations and dashboards (e.g., Dash, Plotly, Matplotlib, Panel).
- Strong problem-solving skills to refine problem statements and develop solutions with available data.
- Strong verbal and written communication skills; clearly documenting your work is key.
- Smart but humble, with a bias for action.
- Able to work in a fast-paced environment while managing multiple tasks.
Nice to Have
- Strong foundation in statistics and machine learning.
- Experience building machine learning models in a professional environment.
- Experience with continuous integration and continuous development.
- Experience in DevOps (e.g., Docker, Kubernetes).
Tesla is an Equal Opportunity / Affirmative Action employer committed to diversity in the workplace. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, age, national origin, disability, protected veteran status, gender identity, or any other factor protected by applicable federal, state, or local laws.
Tesla is also committed to working with and providing reasonable accommodations to individuals with disabilities. Please let your recruiter know if you need an accommodation at any point during the interview process.
Privacy is a top priority for Tesla. We build it into our products and view it as an essential part of our business. To understand more about the data we collect and process as part of your application, please view our Tesla Talent Privacy Notice.
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Data Science Working Student (m/f/d) - Gigafactory Berlin-Brandenburg Arbeitgeber: Tesla, Inc.
Kontaktperson:
Tesla, Inc. HR Team
StudySmarter Bewerbungstipps 🤫
So bekommst du den Job: Data Science Working Student (m/f/d) - Gigafactory Berlin-Brandenburg
✨Tip Number 1
Familiarize yourself with the specific tools and technologies mentioned in the job description, such as Python, SQL, and data visualization libraries like Dash and Plotly. Having hands-on experience or projects showcasing these skills can set you apart.
✨Tip Number 2
Engage with the data science community online, whether through forums, social media, or local meetups. Networking can provide insights into the role and may even lead to referrals within the company.
✨Tip Number 3
Prepare to discuss your problem-solving approach during interviews. Be ready to share examples of how you've refined vague problem statements and developed solutions using data in past projects or coursework.
✨Tip Number 4
Show your enthusiasm for working in a fast-paced, multicultural environment. Highlight any experiences that demonstrate your ability to manage multiple tasks and collaborate effectively with diverse teams.
Diese Fähigkeiten machen dich zur top Bewerber*in für die Stelle: Data Science Working Student (m/f/d) - Gigafactory Berlin-Brandenburg
Tipps für deine Bewerbung 🫡
Understand the Role: Make sure to thoroughly read the job description for the Data Science Working Student position. Understand the key responsibilities and required skills, such as proficiency in Python and SQL, as well as experience with data visualizations.
Tailor Your CV: Customize your CV to highlight relevant experiences and skills that align with the job requirements. Emphasize any projects or coursework related to data science, coding, and problem-solving.
Craft a Strong Cover Letter: Write a cover letter that showcases your passion for data science and your ability to work in a fast-paced environment. Mention specific examples of your coding experience and how you have contributed to data-driven projects.
Showcase Your Projects: If you have worked on relevant projects, include links or descriptions in your application. Highlight any experience with ETL pipelines, dashboard creation, or machine learning models to demonstrate your practical skills.
Wie du dich auf ein Vorstellungsgespräch bei Tesla, Inc. vorbereitest
✨Showcase Your Coding Skills
Be prepared to discuss your experience with Python and SQL. Bring examples of projects where you've developed ETL pipelines or dashboards, and be ready to explain your coding process and the challenges you faced.
✨Prepare for Problem-Solving Scenarios
Expect to engage in discussions about refining vague problem statements. Practice articulating how you would approach a data-related problem and the steps you would take to derive solutions using available data.
✨Highlight Your Communication Skills
Since strong verbal and written communication is key, prepare to demonstrate how you document your work and present your findings. Consider bringing a sample presentation or visualization that showcases your ability to convey complex information clearly.
✨Emphasize Team Collaboration
Discuss your experiences working in teams, especially in fast-paced environments. Share examples of how you've collaborated on coding tasks or problem-solving efforts, and express your enthusiasm for working closely with others in a multicultural setting.
