Data Scientist

Bosch Group; Mexicali; On-site; MXN 500,000 - 900,000; Full time

Job summary

Bosch Group’s Power Tools Division is a leading provider of power tools, accessories, and measuring tools with a global footprint. The team develops digital solutions to optimize manufacturing and business processes by combining data analytics, AI, automation, and software to create platforms, dashboards and integrations that reduce manual work and improve decision making.

Based in Mexicali, the role focuses on building end-to-end data platforms, automating workflows with n8n and other tools,

Qualifications

• Experience in identifying and implementing digital solutions to optimize manufacturing and business processes.
• Proficiency in data analytics, AI/ML, and automation workflows.

Responsibilities

• Identify, develop and implement digital solutions to optimize manufacturing and business processes.
• Create platforms, applications, bots, dashboards, and integrations with corporate and plant systems.
• Improve productivity, traceability, quality and reduce manual activities.

Skills

Artificial Intelligence & Machine Lean

Data analytics

Data visualization

Software design

Multitasking

Tools

Python

SQL

Power BI

n8n

Automation Anywhere

Fastlane

API integration

Job description

The Bosch Group’s Power Tools Division is one of the world’s leading providers of power tools, accessories, and measuring tools. In 2017, its approximately 20,000 associates generated sales of 5 billion euros. It includes brands such as Bosch and Dremel. The Power Tools Division’s purpose is: “We create fascinating products that fill our users with pride and joy, offering intuitive use and ensuring physical safety.”

Responsible for identifying, developing and implementing digital solutions to optimize manufacturing and
business processes. It combines data analytics, artificial intelligence, automation, and software
development to create platforms, applications, bots, dashboards, and integrations with corporate and plant
systems.
Its objective is to reduce manual and duplicate activities, facilitate decision-making and improve
productivity, traceability, quality and use of direct and indirect personnel.

• 1. Artificial Intelligence and Machine Learning
• 2. Python and software development N8N Automations
• 3. SQL and Database Administration
• 4. Data Engineering, Transformation, and Quality
• 5. Process automation: n8n, Fastlane, and Automation Anywhere
• 6. Power BI and data visualization
• 7. API integration with SAP, MES and other systems
• 8. Testing, documentation, version control andsoftware release

• Multitareas