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Data Scientist (m/w/d) - Gigafactory Berlin-Brandenburg

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Tesla

Today

  • Job
    Full-time
    Mid & Senior Level
  • Data
    Software Engineering
  • Brandenburg

AI generated summary

  • You must have Python, SQL, and ML experience, software development skills, DevOps familiarity, clear communication, and a degree in a relevant field. Knowledge of fullstack, Hadoop, and streaming is essential.
  • You will analyze complex data sets, refine problem scopes with stakeholders, design solutions to improve manufacturing quality, and build analysis pipelines while supporting production applications.

Requirements

  • High proficiency in Python, SQL
  • Strong foundation in statistics and machine learning
  • Experience building machine learning models that provided company value
  • Background in writing software in a professional environment, writing clean and tested code
  • Worked with DevOps and CICD (Kubernetes, Docker, Jenkins,…)
  • Excellent verbal and written communication skills. Clearly documenting your work is key
  • Smart but humble, with a bias for action
  • Bachelors or Masters in Computer Science/ Engineering or equivalent.
  • Fullstack knowledge
  • Familiarity with tools such as Airflow, Elastic Search
  • Basic sysadmin capabilities
  • Practical knowledge of Hadoop, Spark and with streaming and stream processing frameworks such kafka, mqtt, faust, spark streaming etc.

Responsibilities

  • Work with large, complex data sets.
  • Solve difficult, non-routine analysis problems, applying advanced analytical methods as needed.
  • Conduct analysis that includes data gathering and requirements specification, processing, analysis, ongoing deliverables, and presentations.
  • Work with stakeholders to take a vague problem statement, refine the scope of the analysis, and use the results to drive informed decisions.
  • Identifying opportunities, designing solutions and providing software tools that increase manufacturing quality.
  • Build and prototype analysis pipelines iteratively to provide insights at scale.
  • Operate and support your production applications.

FAQs

What are the primary responsibilities of the Data Scientist role at Gigafactory Berlin-Brandenburg?

The primary responsibilities include working with large, complex data sets, solving non-routine analysis problems, conducting data analysis and requirements specification, identifying opportunities for improving manufacturing quality, designing solutions, and supporting production applications.

What technical skills are required for this position?

High proficiency in Python and SQL, a strong foundation in statistics and machine learning, experience in building machine learning models, and familiarity with DevOps and CI/CD practices are required.

Is a specific educational background necessary for this role?

A Bachelor's or Master's degree in Computer Science/Engineering or an equivalent field is preferred.

Are there any desired qualifications or skills that would be beneficial?

Yes, nice-to-have qualifications include full-stack knowledge, familiarity with tools like Airflow and Elasticsearch, basic sysadmin capabilities, and practical knowledge of Hadoop, Spark, and streaming frameworks like Kafka and Spark Streaming.

What kind of work environment can I expect at Tesla's Gigafactory?

You can expect a state-of-the-art working environment where you’ll collaborate with highly skilled individuals to solve complex problems and contribute to sustainable energy solutions.

What does Tesla offer in terms of compensation and benefits?

Tesla offers a competitive salary, Tesla shares or bonuses, a pension program, 30 vacation days, employee insurances, free EV charging stations, and public commuting support.

Is experience with CI/CD tools important for this role?

Yes, familiarity with CI/CD tools such as Kubernetes, Docker, and Jenkins is important for the position.

How will success be measured in this role?

Success will be measured by the ability to deliver value-added, data-driven applications that enhance manufacturing quality and support informed decision-making based on analysis results.

Can you explain the importance of teamwork in this role?

Teamwork is crucial as the Data Scientist will collaborate with various stakeholders to refine problem statements, drive informed decisions, and ultimately contribute to enhancing the overall quality of Tesla’s manufacturing processes.

What opportunities for growth does Tesla provide for this position?

Tesla encourages continuous learning and growth through innovative projects, access to cutting-edge technologies, and collaboration with industry experts, providing ample opportunity for personal and professional development.

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Tesla

Tesla’s mission is to accelerate the world’s transition to sustainable energy.

Automotive
Industry
10,001+
Employees
2003
Founded Year

Mission & Purpose

Tesla’s mission is to accelerate the world’s transition to sustainable energy through increasingly affordable electric vehicles in addition to renewable energy generation and storage. California-based Tesla is committed to having the best-in-class in safety, performance, and reliability in all Tesla cars. There are currently over 275,000 Model S, Model X and Model 3 vehicles on the road worldwide. To achieve a sustainable energy future, Tesla also created infinitely scalable energy products: Powerwall, Powerpack and Solar Roof. As the world’s only vertically integrated energy company, Tesla continues to innovate, scale and reduce the costs of commercial and grid-scale systems, with the goal of ultimately getting us to 100% renewable energy grids.