ME Systems - Manufacturing Data Scientist

Versigent

Lisboa

On-site

EUR 42,000 - 62,000

Full time

14 days+
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Benefits offered by this job

Private health care
Learning and development opportunities
Opportunities to give back to the社区

Job summary

Versigent is seeking a Data Scientist to analyze manufacturing data across processes like Ultrasonic welding, Torque machines, and ROB. You will uncover insights, build time-series models, and work with management to drive value.

Proficiency in Python, ML fundamentals, and data visualization is essential. The role focuses on preprocessing, feature engineering, model implementation, and clear communication of results to stakeholders.

Qualifications

  • Master's degree preferred in a relevant field.
  • 0–2 years in a relevant project.
  • Strong foundation in statistics and ML.
  • Fluent in English, both written and spoken.

Responsibilities

  • Analyze historical data to identify patterns, trends, and insights and compare Statistical Process Control (SPC).
  • Preprocess and clean data for machine learning applications
  • Create effective feature engineering pipelines for time series data
  • Validate data quality and handle missing or anomalous data
  • Visualize data and results to communicate findings effectively

Skills

Machine Learning Fundamentals
Data Visualization
Python
Cross-functional collaboration

Education

Master’s degree (preferred) in Data Science, CS, Math, IT, or Engineering

Tools

Scikit-Learn
Streamlit
Seaborn
Numpy
Pandas
SQL
Plotly
StatsModels
Python

Job description

YOUR ROLE

As a Data Scientist, you will perform data analysis for various Manufacturing Engineering Processes, such as Ultrasonic welding, Torque machines, ROB, Crimping or other processes designated by the company. Find insights and patterns hidden inside the data and proactively engage with management and team to explore the findings and drive organizational value.

RESPONSIBILITIES
Design & Architecture
  • Analyze historical data to identify patterns, trends, and insights and compare Statistical Process Control (SPC)
  • Preprocess and clean data for machine learning applications
  • Create effective feature engineering pipelines for time series data
  • Validate data quality and handle missing or anomalous data
  • Visualize data and results to communicate findings effectively
Algorithm Development and Implementation
  • Apply statistical and mathematical approaches to time series analysis and forecasting
  • Implement and optimize machine learning algorithms using Python and relevant frameworks
  • Realize benchmark on model performance
  • Document methodologies, experiments, and results
Collaboration and Deployment
  • Proactively engage with management and team to explore the findings and drive organizational value
  • Participate in code reviews and knowledge sharing sessions
  • Communicate technical concepts to non-technical stakeholders
  • Contribute to team discussions and planning sessions
Learning & Development
  • Stay aware of latest developments in data science, machine learning
  • Experiment with new techniques and frameworks under guidance; participate in internal training and skill development activities
  • Document learnings and share knowledge with the team
  • Gradually expand expertise across different ML domains, like Causal ML
YOUR BACKGROUND
  • 0-2 years in a relevant project
  • Experience in Machine Learning Fundamentals and Data visualization techniques
  • Intermediate knowledge in Scikit-Learn, Streamlit, Seaborn, Numpy, Pandas, SQL, Plotly and StatsModel and Python
  • Experience collaborating with stakeholders in dynamic, cross-functional environments
QUALIFICATIONS
  • Master’s degree (preferred) in Data Science, Computer Science, Mathematics, Information Technology, Engineering
  • Intermediate experience in Data Analysis
  • Advanced knowledge in mathematics and Statistics
  • Fluent in English, both written and spoken
WHY JOIN US?
  • Grow with purpose. We invest in our people by creating opportunities to build skills, take on new challenges, and develop over time.
  • Do work that shows up in the real world. What you contribute here powers systems that are critical to how industries operate and evolve. The impact is visible and lasting.
  • Succeed with the right support. We provide the tools, resources, and environment needed to perform at a high level and sustain that success.
YOUR BENEFITS AT VERSIGENT:
  • Private health care effective day 1 of employment
  • Learning and development opportunities
  • Opportunities to give back to the community

Please note that to be considered for this position, candidates must be legally eligible to work in Portugal. This includes having:

  • Valid residence permit or working visa
  • Portuguese Tax Identification Number (NIF)
  • Portuguese Social Security Number (NISS)

Please send your CV in English! APPLY TODAY!

#LI-JM1

If you are looking for a role where you can grow, contribute, and see the direct impact of your work, we encourage you to apply and be part of what Versigent is building next.

Privacy Notice - Active Candidates: https://www.aptiv.com/privacy-notice-active-candidates

Versigent is an equal employment opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, sex, gender identity, sexual orientation, disability status, protected veteran status or any other characteristic protected by law.

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