Senior Data Scientist (f/m/div.)

On-site in Ovar·Full-time·Added over 2 years ago

This job was published 2 years ago

Bosch

182 open roles

Overview

Job details

  • Full-time hours

    Per the ad.

Pay & benefits

Additional Information

If you’re a proactive, analytical thinker with a passion for building robust data pipelines, we encourage you to apply!

Hybrid regime - 2 days at the office in Ovar.

Work #LikeABosch includes:

Flexible work conditions | Hybrid work system | Exchange with colleagues around the world | Health insurance and medical office on site (nutrition, psychology, physiotherapy, general clinic) | Training opportunities (p.e., technical training, foreign languages training) & certifications | Access to great discounts in partnerships and Bosch products | Sports and health related activities (gym) | Free parking lot | Canteen

Success stories don´t just happen. They are made...

Make it happen! We are looking forward to your application!

#LI-Hybrid

Requirements

Qualifications

Experience:
• Minimum of 5 years in a data science or analytics role.

Technical Skills:
• Proficiency in machine learning model development, evaluation, and optimization. o Knowledge of data preprocessing techniques, feature engineering and feature selection methods.
• Ability to conduct exploratory data analysis to uncover patterns, anomalies and valuable insights.
• Experience with CI/CD pipelines and good software development practices, including version control, code organization and testing.
• Proficiency in Python (e.g. NumPy, Pandas, Scikit-learn, TensorFlow or PyTorch, etc.).
• SQL knowledge for data manipulation and querying.
• Able to work with no-relational databases (e.g. MongoDB)
• Experience with Microsoft Azure cloud platform. o Knowledge in MLOps.
• Experience working in an agile (Scrum or Kanban) framework.
• Experience with Linux OS and Docker. o Ability to share knowledge and mentoring junior team members.
• Good analytical skills.
• Eager to work with the newest technologies.
• High initiative and ability to work independently.
• Solution-oriented, pragmatic, with an eye for detail and capable of explaining decisions and results.
• Evangelist of best practices in ML-based software development.
• Good communication skills.
• Experience with anomaly detection and/or predictive maintenance use cases is a plus.
• Fluent in English.

Education:
• 
MSc or PhD degree in Data Science, Computer Science, Engineering or equivalent.

The role

Company Description

At Bosch, we shape the future by inventing high-quality technologies and services that spark enthusiasm and enrich people's lives. Our promise to our associates is rock-solid: we grow together, we enjoy our work, and we inspire each other. Join in and feel the difference.

The Bosch unit in Ovar belongs to the Building Technologies division and is focused on bringing solutions to the market that are shaping the smart cities of the future. The company develops and produces innovative solutions for security and communication systems, fire alarms, electronic displays, robotic lawn mower & E-bike components. With about 1.200 employees, its success lies in the highly specialized and innovative team and technological know-how.

Job Description

We are seeking an experienced Senior Data Scientist to join our team in a P2030 project that will start Q1.2025. As a Senior Data Scientist, you will play a crucial role in organizing and interpreting data to inform decision-makers, and leverage your statistical analysis and machine learning expertise to develop predictive maintenance models. Your expertise will contribute to our global mission, leveraging unique and specialized data sets.

Responsibilities:
• Conduct in-depth data analysis, including data mining and predictive modelling.
• Provide insights to drive successful operations and strategic decisions.
• Design, implement, train, evaluate and optimize machine learning models for predictive maintenance.
• Support the deploy of ML models into production.
• Build solutions to monitor performance of the data pipelines deployed and take corrective measures when necessary.
• Work closely with cross-functional teams to understand business requirements and extract valuable insights.
• Communicate findings to technical and non-technical stakeholders through clear and compelling presentations and reports.
• Take part in innovation projects and collaborate closely with academic institutions.
• Ensure ethical practices in algorithm design and data utilization

Hiring process

2 steps1 interviewa task to do2–6 weeks in all
  1. Online application

  2. Screening

  3. Interviews

    One or more interviews, by video or onsite.

  4. Assessments or case studies

    Not every role

    For some roles: technical assessments, coding tasks, case studies or presentations.

  • Feedback after screening usually arrives within 1-3 weeks.
  • Interviews are held in the language of the job posting.
  • The recruiter shares assessment details in advance.

About Bosch

Bosch is a global engineering and technology company headquartered in Stuttgart, Germany, operating across four business sectors: Mobility Solutions, Industrial Technology, Consumer Goods, and Energy and Building Technology. With over 400,000 employees worldwide, Bosch is one of the world's largest automotive technology suppliers, also known for its home appliances, power tools, and industrial automation solutions. In Spain, Bosch has a significant presence with multiple facilities, including manufacturing plants and engineering centers, particularly in the automotive components sector.

Bosch Spain operates several sites, with major locations in Madrid, Barcelona, and other industrial hubs, focusing on automotive technology, manufacturing, and logistics. The company is known for its strong engineering culture, commitment to innovation, and investment in Industry 4.0 and digitalization. For international professionals, Bosch offers a multicultural work environment, opportunities for career development within a global network, and a strong emphasis on work-life balance and employee training. Many roles in Spain, especially in customer service and IT support, are open to multilingual candidates, making it an attractive employer for international talent.

Industry
Automotive Technology
Founded
1886
Employees
100,000+
Headquarters
Stuttgart, Germany
Website
bosch.es
All open roles at Bosch
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