Data Scientist
2/27/2026
Primary responsibilities involve performing statistical analysis, running custom SQL queries, and identifying patterns and trends to improve products, process, and quality, while also maintaining and improving data infrastructure and tools. The role includes designing, training, and implementing machine learning algorithms, creating predictive models, and automating engineering solutions to reduce scrap and support critical projects.
Working Hours
40 hours/week
Company Size
10,001+ employees
Language
English
Visa Sponsorship
No
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.
Job Description
Position Objective:
Working knowledge of statistics, mathematics, and data science programming languages (e.g., SQL, Python).
Primary responsibilities will be performing statistical analysis, running custom SQL queries, and identifying
patterns and trends that can improve our products, process & quality. Also expected to maintain and improve
our data infrastructure and tools.
Job Description:
- Perform data mining, exploration, and analysis.
- Create data visualizations, reports, dashboards, and data audits.
- Design, train, and implement machine learning algorithms.
- Creating predictive models for early warning system.
- Creating automated anomaly detection.
- Automate the engineering solution in order to reduce the potential IDC scrap as well as helping the critical project schedule while facing the majority of the Software / Hardware technical problem.
- Support in preparation of technical presentation materiel to management and customer. Cooperate with other relevant departments in plant, CM and Bosch to meet section goals and objectives.
- Support plant wide SQL query on any urgent quality complaint, product issue and I4.0 project.
- Any other duties or responsibility assigned by the superior from time to time.
Qualifications
- Bachelor's or Master’s degree in data science, data analytics, or any other related field.
- Experience with data visualization tools such as Tableau, Power BI & etc.
- Expertise in data mining and machine learning.
- Working knowledge in statistical models or Minitab / SPC.
- Familiarity with cloud-based infrastructure.
- Ability to store and process unstructured data with NoSQL databases and machine learning models.
Additional Information
- Leave Entitlement e.g: Annual Leave, Medical Leave and etc
- Company Insurances and etc
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